Mark Wilson's interests focus on measurement and applied statistics. His work spans a range of issues in measurement and assessment from the development of new statistical models for analyzing measurement data, to the development of new assessments in subject matter areas such as science education, patient-reported outcomes and child development, to policy issues in the use of assessment data in accountability systems.
He has recently published three books: the first, Constructing measures: An item response modeling approach (Erlbaum), is an introduction to modern measurement; the second (with Paul De Boeck of the University of Leuven in Belgium), Explanatory item response models: A generalized linear and nonlinear approach (Springer-Verlag), introduces an overarching framework for the statistical modeling of measurements that makes available new tools for understanding the meaning and nature of measurement; and the third, Towards coherence between classroom assessment and accountability (University of Chicago Press: National Society for the Study of Education), is an edited volume that explores the issues relating to the relationships between large-scale assessment and classroom-level assessment.
He currently chairs a National Research Council committee on assessment of science achievement. He is founding editor of the new journal Measurement: Interdisciplinary Research and Perspectives.
Publications
Books
Brown, N.J.S., Duckor, B., Draney, K., & Wilson, M. (Eds.). (2011). Advances in Rasch Measurement, Volume 2. Maple Grove, MN: JAM Press.
Garner, M.L., Engelhard, G. Jr., Fisher, W.P. Jr., Wilson, M. (Eds.). (2010). Advances in Rasch Measurement, Volume 1. Maple Grove, MN: JAM Press.
Wilson, M, & Bertenthal, M. (Eds.). (2006). Systems for state science assessment. Report of the Committee on Test Design for K-12 Science Achievement. (PDF file) Washington, D.C.: National Academy Press.
Wilson, M. (2005). Constructing Measures: An Item Response Modeling Approach. Mahwah, NJ: Erlbaum.
De Boeck, P. & Wilson, M. (Eds.). (2004). Explanatory item response models: A generalized linear and nonlinear approach. New York: Springer-Verlag.
Wilson, M. (Ed.). (2004). Towards coherence between classroom assessment and accountability. 103rd Yearbook of the National Society for the Study of Education, Part II. Chicago: University of Chicago Press.
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Wilson, M.& Engelhard, G. (Eds.). (2000). Objective measurement V: Theory into practice. Stamford, CT: Ablex.
Wilson, M., Engelhard, G., & Draney, K. (Eds.). (1997). Objective measurement IV: Theory into practice. Norwood, NJ: Ablex.
Engelhard, G., & Wilson, M. (Eds.). (1996). Objective measurement III: Theory into practice. Norwood, NJ: Ablex.
Wilson, M. (Ed.). (1994). Objective measurement II: Theory into practice. Norwood, NJ: Ablex.
Wilson, M. (Ed.). (1992). Objective measurement: Theory into practice. Norwood, NJ: Ablex.
Articles (Refereed Journals, Proceedings)
Diakow, R., Irribarra, D. T., & Wilson, M. (in press). Some comments on representing construct levels in psychometric models. In & Millsap, R. & van der Ark, A. (Eds.) New Developments in Quantitative Psychology(Proceedings of the 77th Annual Meeting of the Psychometric Society, Lincoln, Nebraska). New York, Springer.
Mari, L., Maul, A., Irribarra, D. T., & Wilson, M. (2013). Quantification is neither necessary nor sufficient for measurement. Journal of Physics: Conference Series 459 012007. doi:10.1088/1742-6596/459/1/012007
Maul, A., Irribarra, D. T., & Wilson, M. (2013). On the conceptual foundations of psychological measurement. Journal of Physics: Conference Series 459012008. doi:10.1088/1742-6596/459/1/012008
Roczen, N., Kaiser, F. G., Bogner, F. X., & Wilson, M. (2013). A Competence Model for Environmental Education(link is external). Environment and Behavior.
Wilson, M. (2013). Using the concept of a measurement system to characterize measurement models used in psychometrics. Measurement, 46(9), 3766-3774. Available at:http://dx.doi.org/10.1016/j.measurement.2013.04.005(link is external),
Wilson, M. (2013). Seeking a balance between the statistical and scientific elements in psychometrics. Psychometrika, 78(2), 211-236.
Adams, R., Wu, M., & Wilson, M. (2012). The Rasch rating model and the disordered threshold controversy. Educational and Psychological Measurement, 72(4), 547-573.
Paek, I., Baek, S., & Wilson, M. (2012). An IRT modeling of change over time for repeated measures item response data using a random weights linear logistic test model approach. Asia Pacific Education Review. 13(3), 487-494.
Wilson, M., Zheng, X., & McGuire, L. (2012). Formulating latent growth using an explanatory item response model approach. Journal of Applied Measurement, 13(1), 1-22.
Santelices, M. V., & Wilson, M. (2012). The relationship between differential item functioning and item difficulty: An issue of methods? Educational and Psychological Measurement. 72(1), 5-36.
De Boeck, P., Cho, S.-J., & Wilson, M. (2011). Explanatory secondary dimension modeling of latent DIF. Applied Psychological Measurement, 35, 583-603.
Wilson, M. (2011). The role of mathematical models in measurement: A perspective from psychometrics. In Scharff, P., & Linß, G. (Eds.), Intelligent Quality Measurements - Theory, Education and Training (Proceedings of the 14th Joint International IMEKO TC1 + TC7 +TC13 Symposium. Ilmenau University of Technology, Jena, Germany). Proceedings available at: http://www.db-thueringen.de/servlets/DerivateServlet/Derivate-24575/IMEK... (PDF file)(link is external) Paper available at: urn:nbn:de:gbv:ilm1-2011imeko-005:8
Draney, K., & Wilson, M. (2011). Understanding Rasch measurement: Selecting cut scores with a composite of item types: The Construct Mapping procedure. Journal of Applied Measurement, 12(3), 298-309. Also available as: Draney, K. & Wilson, M. (2010). Selecting cut scores with a composite of item types: The Construct Mapping procedure. In E. V. Smith, & G. E. Stone (Eds.), Criterion-referenced testing: Practice analysis to score reporting using Rasch measurement (pp. 276-293). Maple Grove, MN: JAM Press.
Black, P., Wilson, M., & Yao, S. (2011). Road maps for learning: A guide to the navigation of learning progressions. Measurement: Interdisciplinary Research and Perspectives, 9, 71-123.
Paek, I., & Wilson, M. (2011). Formulating the Rasch differential item functioning model under the marginal maximum likelihood estimation context and its comparison with Mantel-Haenszel procedure in short test and small sample conditions. Educational and Psychological Measurement, 71(6) 1023–1046Available at: http://epm.sagepub.com/content/early/2011/03/29/0013164411400734(link is external)
Brown, N. J. S., & Wilson, M. (2011). Model of cognition: The missing cornerstone of assessment. Educational Psychology Review, 23(2), 221-234.
Scalise, K. & Wilson, M. (2011). The nature of assessment systems to support effective use of evidence through technology. E–Learning and Digital Media, 8(2), 121-132.
Wilmot, D.B., Schoenfeld, A., Wilson, M., Champney, D., Zahner, W. (2011). Validating a learning progression in mathematical functions for college readiness. Mathematical Thinking and Learning, 13(4), 259-291.
Ewert, T., Allen, D. D., Wilson, M., Üstün, B., & Stucki, G. (2010). Validation of the International Classification of Functioning Disability and Health framework using multidimensional item response modeling. Disability and Rehabilitation, 32(17), 1397-1405. (doi: 10.3109/09638281003611037)
Brown, N. J. S., Furtak, E. M., Timms, M. J., Nagashima, S. O., & Wilson, M. (2010) The Evidence-Based Reasoning Framework: Assessing Scientific Reasoning. Educational Assessment, 15(3-4), 123-141.
Brown, N. J. S., Nagashima, S. O., Fu, A., Timms, M. J., & Wilson, M. (2010) A Framework for Analyzing Scientific Reasoning in Assessments. Educational Assessment, 15(3-4), 142-174.
Scalise, K., Madyastha, T., Minstrell, J., & Wilson, M. (2010). Improving assessment evidence in e-learning products: Some solutions for reliability. International Journal of Learning Technology (Special Issue: Assessment in e-Learning), 5(2), 191-208.
Santelices, M. V., & Wilson, M. (2010b). Responding to claims of misrepresentation. Harvard Educational Review, 80(3), 413-417.
Santelices, M. V., & Wilson, M. (2010a). Unfair treatment? The case of Freedle, the SAT, and the standardization approach to differential item functioning. Harvard Educational Review, 80(1), 106–133.
Rocca, C. H., Krishnan, S., Barrett, G., & Wilson, M. (2010). Measuring pregnancy planning: an assessment of the London Measure of Unplanned Pregnancy among urban, south Indian women.Demographic Research, 23(11), 293-334.
Karelitz, T. M., Parrish, D. M., Yamada, H., & Wilson. M. (2010). Articulating assessments across childhood: The cross-age validity of the Desired Results Developmental Profile-Revised. Educational Assessment, 15(1), 1-26.
Liu, O.L., & Wilson, M. (2010). Sources of self-efficacy belief: Development and validation of two scales. Journal of Applied Measurement, 11(1), 24-37.
Dawson, T.L., Goodheart, E.A., Draney, K., Wilson, M., & Commons. M.L. (2010). Concrete, abstract, formal and systematic operations as observed in a Piagetian balance-beam task series. Journal of Applied Measurement, 11(1), 11-23. Reprinted in M. Garner, G. Engelhard, M. Wilson, & W. Fisher (Eds.) (2010). Advances in Rasch Measurement Volume 1. Maple Grove, MN: JAM Press.
Paek, I., Yon, H., Wilson, M., & Kang, T. (2009). Random parameter structure and the testlet model: Extension of the Rasch testlet model. Journal of Applied Measurement, 10(4), 394-407.
Kim, S.C., & Wilson, M. (2009). A comparative analysis of the ratings in performance assessment using generalizability theory and many-facet Rasch measurementJournal of Applied Measurement, 10(4), 408-422. Reprinted in M. Garner, G. Engelhard, M. Wilson, & W. Fisher (Eds.) (2010). Advances in Rasch Measurement Volume 1. Maple Grove, MN: JAM Press.
Duckor, B., Draney, K., & Wilson, M. (2009). Measuring measuring: Toward a theory of proficiency with the constructing measures framework. Journal of Applied Measurement, 10(3), 296-319.
Wilson, M. (2009). Measuring Progressions: Assessment structures underlying a learning progression. (PDF file) Journal for Research in Science Teaching, 46(6),716-730.
Paek, I., Peres, D., & Wilson, M. (2009). Constructing one scale to describe two statewide exams. (PDF file) Journal of Applied Measurement, 10(2),170-184. Reprinted in M. Garner, G. Engelhard, M. Wilson, W. Fisher (Eds.). (2010). Advances in Rasch Measurement Volume 1. Maple Grove, MN: JAM Press.
Claesgens, J., Scalise, K., Wilson, M., & Stacy, A. (2009). Mapping student understanding in chemistry: The perspectives of chemists. (PDF file) Science Education, 93(1),56-85.
62. Liu, O.L. & Wilson, M. (2009). Gender differences in large-scale mathematics assessments: PISA trend 2000 & 2003. (PDF file) Applied Measurement in Education, 22(2),164-184.
Liu, O. L. & Wilson, M. (2009). Gender Differences and Similarities in PISA 2003 Mathematics: A Comparison between the United States and Hong Kong. (PDF file) International Journal of Testing, 9(1),20-40.
Wilson, M. (2008). Cognitive diagnosis using item response models. (PDF file) Zeitschrift für Psychologie/Journal of Psychology (Special Issue: Current Issues in Competence Modeling and Assessment), 216(2),74-88.
Liu, O. L., Wilson, M., & Paek, I. (2008). A multidimensional Rasch analysis of gender differences in PISA mathematics. (PDF file) Journal of Applied Measurement, 9(1),18-35.
Briggs, D., & Wilson, M. (2007). Generalizability in item response modeling. (PDF file) Journal of Educational Measurement, 44(2), 131-155.
Scalise, K., Bernbaum, D. J., Timms, M. J., Veeragoudar Harrell, S., Burmester, K., Kennedy, C. A., & Wilson, M. (2007). Adaptive technology for e-Learning: Principles and case studies of an emerging field. (PDF file) Journal of the American Society for Information Science and Technology, 58(14), 1-15.
Wang, W.-C., Wilson, M., & Shih, C.-L. (2006). Modeling randomness in judging rating scales with a Random-Effects Rating Scale Model. (PDF file) Journal of Educational Measurement, 43(4), 335-353.
Wilson, M., Allen, D. D., & Li, J. C. (2006). Improving measurement in health education and health behavior research using item response modeling: comparison with the classical test theory approach. (PDF file) Health Education Research, 21(Supplement 1), 19-32.
Masse, L. C., Allen, D. D., Wilson, M., & Williams, G., C. (2006). Introducing equating methodologies to compare test scores from two different self-regulation scales. (PDF file) Health Education Research, 21(Supplement 1), 110-120.
Baranowski, T., Allen, D. D., Masse, L., & Wilson, M. (2006). Does participation in an intervention affect responses on self-report questionnaires? (PDF file) Health Education Research, 21(Supplement 1), 98-109.
Allen, D. D., & Wilson, M. (2006). Introducing multidimensional item response modeling in health education research. (PDF file) Health Education Research, 21(Supplement 1), 73-84
Wilson, M., Allen, D. D., & Li, J. C. (2006). Improving measurement in behavioral sciences using item response modeling: introducing item response modeling. (PDF file) Health Education Research, 21(Supplement 1), 4-18.
Wilson, M., & Scalise, K. (2006). Assessment to improve learning in higher education: The BEAR Assessment System. (PDF file) Higher Education, 52, 635-663
Briggs, D., Alonzo, A., Schwab, C., & Wilson, M. (2006). Diagnostic assessment with ordered multiple-choice items. Educational Assessment, 11(1), 33-63
Scalise, K., Claesgens, J., Wilson, M., & Stacy, A. (2006). Contrasting the expectations for student understanding of chemistry with levels achieved: A brief case-study of student nurses. Chemistry Education: Research and Practice, 7(3), 170-184. (Download at: http://www.rsc.org/images/Scalise%20final_tcm18-58359.pdf (PDF file)(link is external))
Wilson, M. & Carstensen, C. (2005). Assessment to improve learning in mathematics: The BEAR Assessment System. Journal of Educational Research and Development (Taiwan), 1(3), 27-50. Reprinted in, A. Schoenfeld, (Ed.) (2007), Assessing mathematical proficiency. London: Cambridge University Press.
Dawson-Tunick, T. L., Commons, M. L., & Wilson, M. (2005). The shape of development. The European Journal of Developmental Psychology,2(2), 163-195.
Wang, W.-C., & Wilson, M. (2005). The Rasch testlet model. Applied Psychological Measurement,29,126-149.
Wang, W.-C., Cheng, Y.-Y., & Wilson, M. (2005). Local item dependence for items across tests connected by common stimuli. Educational and Psychological Measurement, 65,5-27.
Acton, G. S., Kunz, J. D., Wilson, M., & Hall, S. M. (2005). The construct of internalization: Conceptualization, measurement, and prediction of smoking treatment outcome.Psychological Medicine, 35, 395-408.
De Boeck, P., Wilson, M., & Acton, G. S. (2005). A conceptual and psychometric framework for distinguishing categories and dimensions. Psychological Review, 112(1), 129-158.
Frick, J., Kaiser, F. G., & Wilson, M. (2004). Environmental knowledge and conservation behavior: Exploring prevalence and structure in a representative sample. Personality and Individual Differences, 37,1597-1613.
Dawson, T. L., & Wilson, M. (2004). The LAAS: A computerized scoring system for small- and large-scale developmental assessments. Educational Assessment, 9(3&4), 153-191.
Kaiser, F. G., & Wilson, M. (2004). Goal-directed conservation behavior: The specific composition of a general performance. Personality and Individual Differences, 36(7), 1531-1544.
Wilson, M. (2003). On choosing a model for measuring. Methods of Psychological Research, 8(3), 1-22. Download: http://www.mpr-online.de/issue21/mpr122_8.pdf (PDF file)(link is external) Reprinted in: Smith, E.V., and Smith, R.M. (Eds.) (2004). Introduction to Rasch Measurement. Maple Grove, MN: JAM Press.
Dawson, T. L., Xie, Y., & Wilson, M. (2003). Domain-general and domain-specific developmental assessments: Do they measure the same thing? Cognitive Development, 18(1), 61-78.Download: http://www.lectica.info/images/Domain%20general.pdf (PDF file)(link is external)
Briggs, D. & Wilson, M. (2003). An introduction to multidimensional measurement using Rasch models. Journal of Applied Measurement, 4(1), 87-100.
Reprinted in: Smith, E.V., and Smith, R.M. (Eds.) (2004). Introduction to Rasch Measurement. Maple Grove, MN: JAM Press.
Wilson, M., & Draney, K. (2002). A technique for setting standards and maintaining them over time. In S. Nishisato, Y. Baba, H. Bozdogan, & K. Kanefugi (Eds.), Measurement and multivariate analysis (Proceedings of the International Conference on Measurement and Multivariate Analysis, Banff, Canada, May 12-14, 2000), pp 325-332. Tokyo: Springer-Verlag.
Hoskens, M., & Wilson, M. (2001). Real-time feedback on rater drift in constructed response items: An example from the Golden State Examination. Journal of Educational Measurement, 38, 121-145.
Wilson M., & Hoskens, M. (2001). The rater bundle model. Journal of Educational and Behavioral Statistics, 26(3). 283-306.
Wilson, M. & Sloane, K. (2000). From principles to practice: An embedded assessment system. Applied Measurement in Education, 13(2), 181-208.Download: http://www.informaworld.com/smpp/content~content=a783685281~db=all(link is external)
Kaiser, F. G., & Wilson, M. (2000). Assessing people?s general ecological behavior: A cross-cultural measure. Journal of Applied Social Psychology, 30, 952-978.
Pirolli. P., & Wilson, M. (1998). A theory of the measurement of knowledge content, access, and learning. Psychological Review, 105(1), 58-82.Download: http://www2.parc.com/istl/projects/uir/pubs/items/UIR-1998-11-Pirolli-Ps... (PDF file)(link is external)
Wang, W., Wilson, M., & Adams, R.J. (1998). Measuring individual differences in change with Rasch models. Journal of Outcome Measurement, 2(3), 240-265.
Gumpel, T., Wilson, M., & Shalev, R. (1998). An item response theory analysis of the Conners Teacher's Rating Scale. Journal of Learning Disabilities, 31(6), 525-532.
Adams, R. J., Wilson, M., & Wang, W. (1997). The multidimensional random coefficients multinomial logit model. Applied Psychological Measurement, 21(1), 1-23.
Adams, R..J., Wilson, M., & Wu, M. (1997). Multilevel item response models: An approach to errors in variables regression. Journal of Educational and Behavioral Statistics, 22(1), 47-76.
Gumpel, T. & Wilson, M. (1996). Application of a Rasch analysis to the examination of the perception of facial affect among persons with mental retardation. Research and Interventions in Developmental Disabilities, 17(2), 161-171.
Mislevy, R.J., & Wilson, M. (1996). Marginal maximum likelihood estimation for a psychometric model of discontinuous development. Psychometrika, 61(1), 41-71.
Wilson, M, & Wang, W. (1995). Complex composites: Issues that arise in combining different modes of assessment. Applied Psychological Measurement. 19(1), 51-72.
Wilson, M. & Adams, R.J. (1995). Rasch models for item bundles. Psychometrika., 60(2), 181-198.
Thomas, J.W., Bol, L., Warkentin, R.W., Wilson, M., Strage, A., & Rohwer, W.D., Jr. (1993). Interrelationships among students? study activities, self-concept of academic ability, and achievement as a function of characteristics of high-school biology courses. Applied Cognitive Psychology, 7, 499-532.
Wilson, M. & Adams, R.J. (1993). Marginal maximum likelihood estimation for the ordered partition model. Journal of Educational Statistics, 18(1), 69-90.
Wilson, M. (1993). The 'Saltus model' misunderstood. Methodika 7, 1-4.
Wilson, M., & Masters, G.N. (1993). The partial credit model and null categories. Psychometrika, 58(1), 87-99.
Pirolli, P., & Wilson, M. (1993, June). Knowledge and the simultaneous conjoint measurement of activity, agents and situations. Proceedings of the Cognitive Science Society Annual Meeting, Boulder, CO (pp. 812-817).
Wilson, M. (1992). The ordered partition model: An extension of the partial credit model. Applied Psychological Measurement. 16(3), 309-325.
Pirolli, P., & Wilson, M. (1992). Measuring learning strategies and understanding: A research framework. In C. Frasson, G. Gauthier, & G.I. McCalla (Eds.), Intelligent tutoring systems, Proceedings of the Second International Conference, Montreal, Canada, June, 1992. Berlin: Springer-Verlag.
Wilson, M. (1992). Educational leverage from a political necessity: Implications of new perspectives on student assessment for Chapter 1 evaluation. Educational Evaluation and Policy Analysis, 14(2), 123-144.
Wilson, M. (1990). Measuring a van Hiele geometry sequence: A reanalysis. Journal for Research in Mathematics Education, 21(3), 230-237.
Wilson, M. (1989). Saltus: A psychometric model of discontinuity in cognitive development. Psychological Bulletin, 105(2), 276-289.
Wilson, M. (1989). An evaluation of Woodruff's technique for variance estimation in educational surveys. Journal of Education Statistics, 14(1), 81-101.
Wilson, M. (1989). A comparison of deterministic and probabilistic approaches to measuring learning structures. Australian Journal of Education, 33(2), 125-138.
Wilson, M. (1989). Empirical examination of a learning hierarchy using an item response theory model. Journal of Experimental Education, 57(4), 357-371.
Wilson, M., & Moore, S. (1989). Desktop loglinear modeling. Australian Journal of Education, 33(3), 197-219.
Wilson, M. (1988). Internal construct validity and reliability of a quality of school life instrument across nationality and school level. Educational and Psychological Measurement, 48, 995-1009.
Wilson, M. (1988). Many hands make light work: integrating research on primate handedness. Behavioral and Brain Sciences,11(4), 733-735.
Wilson, M. (1988). Detecting and interpreting local item dependence using a family of Rasch models. Applied Psychological Measurement, 12(4), 353-364.
Wilson, M., & Iventosch, L. (1988). Using the Partial Credit model to investigate responses to structured subtests. Applied Measurement in Education, 1(4), 319-334.
Wilson, M., & Bock, R.D. (1985). Spellability: a linearly-ordered content domain. American Educational Research Journal, 22(2), 297-307.
Guida, F., Ludlow, L., & Wilson, M. (1985). The mediating effect of time-on-task on the academic anxiety/achievement interaction: A structural model. Journal of Research and Development in Education, 19(1), 21-26.
Book Chapters
Lehrer, R., Kim, M-J., Ayers, E., & Wilson, M. (in press). Toward establishing a learning progression to support the development of statistical reasoning. In J. Confrey and A. Maloney (Eds.), Learning over Time: Learning Trajectories in Mathematics Education. Charlotte, NC: Information Age Publishers.
Wilson, M, & Draney, K. (2013). A strategy for assessment of competencies in higher education: The BEAR Assessment System. In S. Blomeke, O. Zlatkin-Troitschanskaia, C. Kuhn, & J. Fege, (Eds.), Modeling and measuring competencies in higher education: Tasks and challenges (pp. 61-80). Rotterdam, The Netherlands: Sense Publishers.
Wilson, M. (2012). Methodological research in large-scale international assessments. In M. Prenzel, M. Kobarg, K. Schops, & S. Ronnebeck (Eds.), Research on PISA: Research Outcomes of the PISA Research Conference 2009 (pp. 52-55). Dordrecht, Germany: Springer.
Wilson, M., Bejar, I., Scalise, K., Templin, J., Wiliam, D., & Torres-Irribarra, D. (2012). Perspectives on methodological issues. In P. Griffin, B. McGaw B. & E. Care, (Eds.), Assessment and Teaching of 21st Century Skills (pp 67-142). Dordrecht, Germany: Springer.
Wilson, M. (2012). Responding to a challenge that learning progressions pose to measurement practice: hypothesized links between dimensions of the outcome progression. In A .C.Alonzo & A. W. Gotwals, (Eds.), Learning Progressions in Science. Rotterdam, The Netherlands: Sense Publishers.
Draney, K., Wilson, M., Gluck, J. & Spiel, C. (2008). Mixture models in a developmental context. In G.R Hancock & K.M. Samuelson (Eds.), Advances in latent variable mixture models (pp. 199-216). Charlotte, NC: Information Age Publishing.
Bertenthal, M., Wilson, M. & Keller, T. (2008). Systems for state science assessment: Findings of the National Research Council’s Committee on Test Design for K–12 science achievement. In C. Coffey, R. Douglas, and C. Stearns (Eds.), Science assessment: Research and practical approaches. Arlington, VA: NSTA Press
Wilson, M., De Boeck, P., & Carstensen, C. (2008). Explanatory item response models: A brief introduction. In J. Hartig, E. Klieme, D. Leutner (Eds.), Assessment of competencies in educational contexts (pp. 83-110). Göttingen, Germany: Hogrefe & Huber.
Kennedy, C. A., & Wilson, M. (2007). Using progress variables to map intellectual development. In R. W. Lissitz (Ed.), Assessing and modeling cognitive development in schools: Intellectual growth and standard setting. Maple Grove, MN: JAM Press.
Wilson, M. & Carstensen, C. (2007). Assessment to improve learning in mathematics: The BEAR Assessment system. In A. Schoenfeld (Ed.), Assessing mathematical proficiency (pp. 311-332). London: Cambridge University Press.
Draney, K., & Wilson, M. (2007). Application of the saltus model to stage-like data: Some applications and current developments. (PDF file) In, M. von Davier & C. Carstensen (Eds.), Multivariate and Mixture Distribution Rasch Models. New York: Springer.
Scalise, K., & Wilson, M. (2006). Analysis and comparison of automated scoring approaches: Addressing evidence-based assessment principles. In D. M. Williamson, R. J. Mislevy & I.J. Bejar (Eds.), Automated Scoring of Complex Tasks in Computer-Based Testing. Mahwah, NJ: Lawrence Erlbaum Associates.
Wilson, M., & Hoskens, M. (2005). Multidimensional item responses: Multimethod/multitrait perspectives. In, S. Alagumalai, D. D. Curtis, & N. Hungi (Eds.) Applied Rasch measurement: A Book of Exemplars (Papers in honour of John Keeves). Springer-Kluwer Academic Publishers (pp. 287-308).
Wilson, M. (2005). Subscales and summary scales: Issues in health-related outcomes. In J. Lipscomb, C. C. Gotay, & C. Snyder (Eds.), Outcomes Assessment in Cancer: Measures, Methods and Applications. Cambridge, UK: Cambridge University Press.
Draney, K., & Wilson, M. (2004). Application of the polytomous saltus model to stage-like data. In, A. van der Ark, M. Croon, & K. Sijtsma (Eds.), New developments in categorical data analysis for the social and behavioral sciences. Mahwah, NJ: Earlbaum.
Wilson, M. (2004). Assessment tools: Psychometric and statistical. In, J. W. Guthrie (Ed.), Encyclopedia of Education, 2nd Edition. New York: Macmillan Reference USA.
Wilson, M. (2004). Assessment, accountability and the classroom: A community of judgment. In, M. Wilson, (Ed.). Towards coherence between classroom assessment and accountability. 103rd Yearbook of the National Society for the Study of Education, Part II. Chicago: University of Chicago Press.
Wilson M., & Draney, K. (2004). Some links between large-scale and classroom assessments: The case of the BEAR Assessment System. In, M. Wilson, (Ed.). Towards coherence between classroom assessment and accountability. 103rd Yearbook of the National Society for the Study of Education, Part II. Chicago: University of Chicago Press.
Wilson, M. (2004). A perspective on current trends in assessment and accountability: Degrees of coherence. In, M. Wilson, (Ed.). Towards coherence between classroom assessment and accountability. 103rd Yearbook of the National Society for the Study of Education, Part II. Chicago: University of Chicago Press.
Wilson, M., & De Boeck, P. (2004). Descriptive and explanatory item response models. In, P. De Boeck, & M. Wilson, (Eds.) Explanatory item response models: A generalized linear and nonlinear approach. New York: Springer-Verlag.
De Boeck, P. & Wilson, M. (2004). A framework for item response models. In, P. De Boeck, & M. Wilson, (Eds.) Explanatory item response models: A generalized linear and nonlinear approach. New York: Springer-Verlag.
Wilson, M. & Scalise, K. (2003). Reporting progress to parents and others: Beyond grades. In J. M. Atkin & J. E. Coffey (Eds.), Everyday assessment in the science classroom. NSTA Press: Arlington, VA.
Wilson, M. (2003). Cognitive psychology and assessment practices. In, R. Fernandez-Ballesteros (Ed.), Encyclopedia of Psychological Assessment. Newberry Park, CA: Sage,
Mislevy, R, J. Wilson, M., Ercikan, K., & Chudowsky, N. (2003). Psychometric principles in Student Assessment. In, T. Kellaghan, & D. L. Stufflebeam, International Handbook of Educational Evaluation,(pp, 489-532). Dordrecht, The Netherlands: Kluwer Academic Press.
Wilson, M., & Case, H. (2000). An examination of variation in rater severity over time: A study of rater drift. In M. Wilson & G Engelhard (Eds.) Objective Measurement: Theory into Practice (Volume V) (pp. 113-134). Stamford, CT: Ablex.
Wang, W., Wilson, M., & Adams, R. J.. (2000). Interpreting the parameters of a multidimensional Rasch model. In M. Wilson & G Engelhard (Eds.) Objective Measurement: Theory into Practice (Volume V). Stamford, CT: Ablex.
Wilson, M. (1999). Relating the national science education standards to the Science Education for Public Understanding Program (SEPUP) assessment system. In K. Comfort (Ed.), Advancing standards for science and mathematics education: Views from the field. Washington, DC: AAAS. (Available at http://ehrweb.aaas.org/ehr/forum/(link is external). )
Wilson, M. (1997). The California comparability study. In Los Angeles County Office of Education (Ed.), Proceedings: Comparability Symposium. Downey, CA: Los Angeles County Office of Education
Wang, W., Wilson, M., & Adams, R. J. (1997). Rasch models for multidimensionality between and within items. In, M. Wilson, G. Engelhard & K. Draney (Eds.), Objective measurement IV: Theory into practice. Norwood, NJ: Ablex.
Warkentin, R., Bol, L., & Wilson, M. (1997). Using the partial credit model to verify a theoretical model of academic studying. In, M. Wilson, G. Engelhard & K. Draney (Eds.), Objective measurement IV: Theory into practice. Norwood, NJ: Ablex.
Wilson, M., & Draney, K. (1997). Partial credit in a developmental context: The case for adopting a mixture model approach. (PDF file) In, M. Wilson, G. Engelhard & K. Draney (Eds.), Objective measurement IV: Theory into practice (pp. 333-350). Norwood, NJ: Ablex.
Wilson, M., & Adams R.J. (1996). Evaluating progress with alternative assessments: A model for Chapter 1. In M.B. Kane (Ed.), Implementing performance assessment: Promise, problems and challenges. Hillsdale, NJ: Erlbaum.
Draney, K., Wilson, M., & Pirolli, P. (1996). Measuring learning in LISP: An application of the random coefficients multinomial logit model. In, G. Engelhard & M. Wilson (Eds.), Objective measurement III: Theory into practice. Norwood, NJ: Ablex.
Wang, W., & Wilson, M. (1996). Comparing multiple-choice items and performance-based items using item response modeling. In, G. Engelhard & M. Wilson (Eds.), Objective measurement III: Theory into practice. Norwood, NJ: Ablex.
Adams, R.J., & Wilson, M. (1996). Formulating the Rasch model as a mixed coefficients multinomial logit. In, G. Engelhard & M. Wilson (Eds.), Objective measurement III: Theory into practice. Norwood, NJ: Ablex.
Draney, K. L., Pirolli, P., & Wilson, M. (1995). A measurement model for a complex cognitive skill. In P. Nichols, S. Chipman, & R. Brennan, Cognitively diagnostic assessment (pp. 103-126). Hillsdale, NJ: Erlbaum.
Wilson, M. (1994). Assessment nets: An alternative approach to assessment in mathematics achievement. In T. Romberg (Ed.), Reform in School Mathematics and Authentic Assessment. New York: SUNY Press.
Wilson, M. (1994). Measurement of developmental levels. In T. Husen & T.N. Postlethwaite (Eds.), International Encyclopedia of Education (2nd. Ed.) (pp. 1508-14). Oxford: Pergamon Press.
Ross, K., & Wilson, M. (1994). Sampling errors. In T. Husen & T.N. Postlethwaite (Eds.), International Encyclopedia of Education (2nd. Ed.). Oxford: Pergamon Press.
Wilson, M. (1994). Community of judgement: A teacher-centered approach to educational accountability. In, Office of Technology Assessment (Ed.), Issues in Educational Accountability. Washington, D.C.: Office of Technology Assessment, United States Congress.
Wilson, M. (1994). Comparing attitude across different cultures: Two quantitative approaches to construct validity. In, M. Wilson (Ed.), Objective Measurement II: Theory into Practice. Norwood, NJ: Ablex.
Wilson, M. (1992). Measurement models for new forms of assessment in mathematics education. In J.F. Izard & M. Stephens (Eds.) Reshaping assessment practices: Assessment in the mathematical sciences under challenge. Hawthorn, Australia: ACER.
Wilson, M. (1992). Measuring levels of mathematical understanding. In T. Romberg (Ed.), Mathematics assessment and evaluation: Imperatives for mathematics educators. New York: SUNY Press.
Wilson, M. (1992). Measuring changes in the quality of school life. In M. Wilson (Ed.), Objective measurement: Theory into practice. Norwood, NJ: Ablex.
Wilson, M. (1992). Objective measurement: The state of the art. In M. Wilson (Ed.), Objective measurement: Theory into practice. Norwood, NJ: Ablex.
Wilson, M. (1990). Measurement of developmental levels. In T. Husen & T.N. Postlethwaite (Eds.), International Encyclopedia of Education: Research and Studies. Supplementary Volume 2. Oxford: Pergamon Press.
Masters, G.N., Adams, R.J., & Wilson, M. (1990). Charting of student progress. In T. Husen & T.N. Postlethwaite (Eds.), International Encyclopedia of Education: Research and Studies. Supplementary Volume 2 (pp. 628-634). Oxford: Pergamon Press. Also in T. Husen & T.N. Postlethwaite (Eds.), International Encyclopedia of Education (2nd. Ed.) (pp. 5783-91). Oxford: Pergamon Press (1994).
Cunningham, A.E., Stanovich, K.E., & Wilson, M. (1990). Cognitive variation in adult college students differing in academic ability. In T.H. Carr & B.A. Levy (Eds.), Reading and its development: Component skills approaches. New York: Academic Press.
Wilson, M. (1990). Investigation of structured problem solving items. In G. Kulms (Ed.), Assessing higher order thinking in mathematics. Washington, DC: American Association for the Advancement of Science.
Wilson, M. (1988). The bootstrap. In J.P. Keeves (Ed.), Educational research, methodology and measurement: an international handbook. Oxford: Pergamon. (Also in, T. Husen & T.N. Postlethwaite (Eds.), International Encyclopedia of Education: Research and Studies. Supplementary Volume 1. Oxford: Pergamon Press.)
Monographs/Technical & Research Reports
Wilson, M., Roberts, L., Draney, K., Samson, S., & Sloane, K. (2000). SEPUP Assessment Resources Handbook. BEAR Center Research Reports, University of California, Berkeley.
Wilson, M. (1999). A reflection on new frameworks for assessing student knowledge and skills: The PISA approach. OECD/PISA Discussion paper, ACER, Camberwell, Australia.
Roberts, L., Wilson, M., & Draney, K. (1998). The SEPUP Assessment System: An Overview. BEAR Center Research Reports, University of California, Berkeley.
Patz, R. J., Wilson, M., & Hoskens, M. (1997). Optimal rating procedures for NAEP open-ended items . Final report to the National Center of Education Statistics under the redesign of NAEP.
Wilson, M., & Case, H. (1996). Rating a performance task: An examination of rater performance over time. University of California, Berkeley: BEAR Report Series, CD-96-1.
Pirolli, P. & Wilson, M. (1995). A Technical Note on TREC Evaluation. Research Report. Palo Alto, CA: Xerox PARC.
Mislevy, R.J., & Wilson, M. (1993). Marginal maximum likelihood estimation for a psychometric model of discontinuous development. Princeton, NJ: Educational Testing Service.
Wilson, M. (1989). Commentary on an integrated approach to quantifying research synthesis. In K. Fillmore (Ed.), Final report of the second meeting of the collaborative alcohol-related longitudinal project. San Francisco: Institute for Health and Aging, University of California.
Wilson, M., & Ekstrand, K. (1989). TestIssues: A guide for decisionmakers [Computer-based tutorial]. National Commission on Testing and Public Policy Research Report, Graduate School of Education, University of California, Berkeley.
Ploger, D., & Wilson, M. (1989). Levels of understanding in modern biology: Cognitive snapshots of student learning. Research Report, Graduate School of Education, University of California, Berkeley.
Wilson, M., Moore, S., Gifford, B., & Gumpel, T. (1989). On the assessment of validity for a selection rule: Evidence for the linearity assumption, and implications of its failure. National Commission on Testing and Public Policy Research Report, Graduate School of Education, University of California, Berkeley.
Wilson, M. (1988). Empirical investigations of structured problem solving items using a polytomous IRT model. Research Report, National Center for Research in Mathematical Sciences Education, School of Education, University of Wisconsin-Madison.
Masters, G. N., & Wilson, M. (1988). PC-CREDIT [Computer Program]. Melbourne, Australia: University of Melbourne, Centre for the Study of Higher Education.
Masters, G. N., & Wilson, M. (1988). Understanding and using Partial Credit analysis: an IRT method for ordered response Categories. Notes to accompany mini-course given at the American Educational Research Association annual meeting, New Orleans.
Masters, G. N., Morgan, G., & Wilson, M. (1986). Charting student progress. Centre for the Study of Higher Education, University of Melbourne.
Masters, G. N., Morgan, G., & Wilson, M. (1986). CHARTS [Computer program]. Centre for the Study of Higher Education, University of Melbourne.
Ziomek, R. and Wilson, M. (1986). A proposed additional index to Glass' effect size estimator with application to mastery learning experiments. Des Moines Independent Community School District, Department of Evaluation and Research, Technical Report No. 3.
Wilson, M. (1985). Measuring Stages of Growth. ACER Occasional Paper, No. 19. Melbourne, Australia: ACER.
Wilson, M. (1985). Using the Design Effect Concept. Unpublished manuscript, Australian Council for Educational Research.
Wilson, M. (1983). Adventures in Uncertainty: An empirical investigation of the use of a Taylor's series approximation for the assessment of sampling errors in educational research. ACER Occasional paper, No. 17. Melbourne, Australia: ACER.
Other Papers/Reports/Op-Eds/Computer Programs
Adams, R.J., Wu, M., & Wilson, M. (2012). ConQuest 3.0 [computer program]. Hawthorn, Australia: ACER.
Kennedy, C.A., Wilson, M., Draney, K., Tutunciyan, S., & Vorp, R. (2008). ConstructMap Version 4.4.0 (computer program). BEAR Center: UC Berkeley, CA. (formerly “GradeMap”)
Wu, M., Adams, R.J., Wilson, M., Haldane, S. (2008). ACERConQuest 2.0 [computer program]. Hawthorn, Australia: ACER.
Kennedy, C.A., Wilson, M., & Draney, K. (2005). GradeMap 4.1 (computer program). BEAR Center: UC Berkeley, CA.
Wilson, M., Kennedy, C., & Draney, K. (2004). GradeMap 3.0 (computer program). BEAR Center: UC Berkeley, CA.
Wu, M., Adams, R.J., & Wilson, M. (1998). ACERConQuest [computer program]. Hawthorn, Australia: ACER.
Book Reviews, Comments, etc.
Wilson, M. (2002). Review of T. G. Bond & C. M. Fox. (2001). Applying the Rasch Model: Fundamental Measurement in the Human Sciences. Mahwah, NJ: Lawrence Erlbaum. Applied Psychological Measurement, 26, 228-231.
Wilson, M. (1995). Review of G. H. Fischer & I. W. Molenaar (Eds.) (1995). Rasch models: Foundations, recent developments, and applications. New York: Springer-Verlag. Applied Psychological Measurement, 19(4), 392-394.
Jensen, A.R., & Wilson M. (1994). Henry Felix Kaiser (1927-1992) [Obituary]. American Psychologist, 49(12), 1085.
Ploger, D., & Wilson, M. (1991). Statistical reasoning: What is the role of inferential rule training? (Comment on Fong and Nisbett). Journal of Experimental Psychology: General, 120(2).
Wilson, M. (1990). The limits to measurement: Review of S.H. Irvine & J.W. Berry, Human abilities in cultural context. Cambridge, UK: Cambridge University Press. Contemporary Psychology, 35(8), 756-757.
Wilson , M. (1990). Flunking retention: Review of Shepard, L. A., & Smith, M.L. (Eds.) (1989). Flunking grades: Research and policies on retention. London: The Falmer Press. Educational Evaluation and Policy Analysis, 12(2).
Presentations/Professional Experience
Invited
Mari, L. & Wilson, M. (2013, September). A gentle introduction to Rasch measurement models for metrologists. Keynote address at the Joint IMEKO (International Measurement Confederation) TC1-TC7-TC13 Symposium, Genoa, Italy. doi:10.1088/1742-6596/459/1/012002(link is external) (Download abstract from: http://iopscience.iop.org/1742-6596/459/1/012002/(link is external))
Wilson, M., & Osborne, J. (2013, April). Learning trajectories and formative assessments for physical science and argumentation. Paper presented at the SERP Sandpit, San Francisco.
Wilson, M. (2012, August). Developing assessment tasks that lead to better instruction and learning. Keynote presentation at the International Conference on Enhancing National Competiveness—Upgrading Science Education, Bangkok.
Wilson, M. & Scalise, S. (2012, April). AssessmentoflearningindigitalsocialnetworksInvited address at the ATC21S Research Symposium, Vancouver. Also presented at the ETS Invitational Research Symposium on Technology Enhanced Assessments, Washington DC, May, 2012 [available at: http://www.k12center.org/rsc/pdf/session5-wilson-paper-tea2012.pdf](link is external).
Wilson, M. (2011, October). Measurement for learning: Part II. Invited paper presented at the Trans-Atlantic Science Week Conference, (Sponsored by the Norwegian Embassy). Berkeley, CA.
Wilson, M. (2011, September). The role of mathematical models in measurement: A perspective from psychometrics. Plenary address at the 14th Joint International IMEKO TC1 & TC7 Symposium. Ilmenau University of Technology, Jena, Germany.
Wilson, M. (2011, July). How do I know when I have a good measure: Why, What, How? Invited address at a conference on educational accountability, Peking University, Beijing.
Wilson, M. (2011, May). Explanatory Item Response Modeling: A Perspective on Psychometrics. Invited paper at the 23rd Annual convention of the American Psychological Society, Washington, DC.
Wilson, M. (2011, May). Navigating between large-scale assessment and classroom assessments. Invited Plenary Address at the MIDE-UC Seminar on Accountability in Education, Pontificia Universidad Católica de Chile (UC), Santiago, Chile.
Wilson, M. (2009, December). Assessment for learning AND for accountability. Keynote presentation at the Exploratory Seminar: Next Generation K-12 Assessment Systems. Educational Testing Service, Princeton, NJ.
Wilson, M. (2009, June). Structured Constructs Models (SCM): A family of statistical models related to learning progressions. Invited Plenary Address at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.
Scalise, K., Wilson, M., Matovinovic, D, Boughton, K. (2009, June). Item authoring for coherent assessment. Invited presentation at the CTB McGraw-Hill Methodology Workshop, Monterey, California.
Wilson, M. (2009, March). On the relationship between large-scale assessment and classroom assessments. The California High School Science Summit, University of California—Riverside.
Wilson, M. (2009, February). Seeking coherence: On the relationship between large-scale assessment and classroom assessments.Invited address at The IMES 2009 International Conference 2009, Faculty of Education, Chulalongkorn University, Bangkok, Thailand.
Wilson, M. (2008, October). On the relationship between large-scale assessment and classroom assessments. Invited address at CAESL 2008: International Conference on Assessment for Learning in Science, San Francisco, CA.
Wilson, M., Zheng, X., & Walker, L. (2008, September). Latent growth item response models. Invited presentation at the International Conference on Outcomes Assessment, Bethesda, MD.
Walker, L. & Wilson, M. (June, 2008). Exploring cross-cultural and time-wise item shift: An extension of the Latent Growth Item Response Model. Invited paper presented at the 3MC Conference, Berlin, Germany.
Wilson, M., & Moore, S. (2008, April). An explanative approach to measurement of reading comprehension. Invited presentation at the ETS Invitational Conference on Reading Comprehension, University of Philadelphia, Philadelphia, PA.
Wilson, M. (2008, March). Some perspectives on assessment: The BEAR Assessment System. Keynote Address at the Open Learning Initiative Conference, Carnegie-Mellon University, Pittsburg, PA.
Wilson, M., Zheng, X., & Walker, L. (2007, August). Latent growth item response models. Keynote Address presented at the IPN Conference on Longitudinal Data Analysis inEducational Studies 2007, Kiel, Germany.
Wilson, M., & Moore, S. (2007, July). Explanatory measurement: an introduction. Keynote Address at the Pacific Rim Objective Measurement Workshop (PROMS), National College of Physical Education and Sports, Taiwan ROC.
Wilson, M. (2007, July). Linking summative to formative: A role for large-scale assessment in classroom assessments. Invited presentation, National SunYat-sen University, Kaohsiung, Taiwan ROC.
Wilson, M. (2007, May). Linking summative to formative: A role for large-scale assessment in classroom assessments. William Angoff Memorial Lecture, Educational Testing Service, Princeton, NJ.
Wilson, M. (2007, May). Constructing Measures: The BEAR Assessment System. Invited presentation to the PIER program, Carnegie-Mellon University, Pittsburg, PA.
Wilson, M. (2006, November). The struggle for meaning in standards-based assessment. Keynote address at the 11th Annual National Roundtable Conference?Conference theme: "The path travelled and the road ahead"?Perth, Western Australia.
Kennedy, C. A. & Wilson, M. (2006, October). Using progress variables to map intellectual development. Invited presentation at a conference entitled "Assessing and modeling cognitive development in school intellectual growth and standard setting." Maryland Assessment Research Center for Education Success, University of Maryland, College Park, MD.
Wilson, M., De Boeck, P., & Carstensen, C. (2006, July). Explanatory item response models for analysing competency data. Presentation in an invited symposium at the International Congress of Applied Psychology, Athens. Also presented at the National Foundation for Educational Research, Slough, UK, August 2006.
Wilson, M., & Moore, S. (2006, June). Building out the measurement model to incorporate complexities in language testing. Samuel J. Messick Memorial Lecture, Learning Testing Research Colloquium, University of Melbourne.
Wilson, M., Stacy, A., & Claesgens, J. (2006, June). Using Assessment to Frame a Picture of Development. University of Colorado Summer Institute for Classroom Learning Assessment, Boulder, CO.
Draney, K., & Wilson M. (2006, May). Mixture models in a developmental context. Paper presented at the "Mixture Models in Latent Variable Research" invitational conference, University of Maryland, College Park, MD.
Wilson, M. (2006, April). Formative classroom assessments: What do teachers need? Invited paper presented at the Consortium for Policy Research in Education symposium on formative assessment, San Francisco. Also presented at the NCIEA Colloquium on formative assessment, Denver, CO, May, 2006.
Wilson, M. (2006, April). Why do something simple, when it's just as easy to do something complicated? Keynote presentation at the 13th meeting of the International Objective Measurement Workshop, Berkeley.
Wilson, M. (2006, March). Systems for State Science Assessment?ideas and tools that are needed to assess science learning at the state level in the USA. Presentation at the Science and Technology Education Group Seminar, King?s College, London.
Wilson, M. (2005, October). Keynote Lecturer at the 21st University of Twente IRT Workshop, Enschede, The Netherlands. Lecture I. A constructive approach to measurement, (with Kathleen Scalise) Lecture II. Introduction to Explanatory Item Response Modeling, (with Paul De Boeck & Claus Carstensen) Lecture III. Guessing in International Assessments of Educational Achievement, (with Yiyu Xie) Lecture IV. Generalizability into Item Response Modeling, (with Derek Briggs)
Wilson, M., & Carstensen, C. (2005, September). Explanatory Item Response Modeling with ConQuest. Invited workshop at the Fachgruppe Methoden und Evaluation of the German Psychological Society, Munster, Germany.
Wilson, M., De Boeck, P., & Carstensen, C. (2005, September). Explanatory Item Response Modeling. Keynote address at the Fachgruppe Methoden und Evaluation of the German Psychological Society, Munster, Germany.
Wilson, M. (2005, September). Struggling for meaning in standards-based assessment. Invited presentation at the 20th CRESST Conference, Los Angeles.
De Boeck, P., Rijmen, F., Tuerlinckx, F., & Wilson, M. (2005, July). Explanatory IRT. Invited workshop at the 70th Annual Meeting of the Psychometric Society, Tilburg, The Netherlands
Wilson, M., & Scalise, K. (2005, May). Assessment: A key aspect of teaching and learning. Invited address at the First Athens International Conference on University Assessment, Athens, Greece.
De Boeck, P., & Wilson, M. (2005, April). A nonlinear mixed model approach to IRT. Invited workshop at the annual meeting of the National Council on Measurement in Education, Montreal, .
Wilson, M. (2005, March). Building from the research: Test design for K-12 Science achievement. Invited symposium at the National Science Teachers Association National Convention, Dallas, TX.
Wilson, M. (2004, October). Cognitive diagnosis using explanatory item response models. Invited presentation at the 4th Spearman Seminar, University of Pennsylvania, Philadelphia, PA.
Wilson, M. (2004, July). Explanatory measurement: Generalized linear and nonlinear models for item response modeling. Invited symposium at the 24th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences (SMABS 2004), Jena University, Germany.
Wilson, M. (2004, July). Workshop on ConQuest. Invited workshop at the 24th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences (SMABS 2004), Jena University, Germany.
Wilson, M. & Brown, N. (2004, July). Measurement as struggle. Keynote presentation at the International Objective Measurement Workshop, Cairns, Australia.
Wilson, M., & Scalise, K. (2004, June). Combining perspectives from cognitive science and psychometrics to improve assessment of science learning: The BEAR Assessment System. Invited presentation at the 3rd Assessment for the Future Workshop. New College, Cambridge, UK.
Wilson, M., & Scalise, K. (2004, March). Assessment: A key aspect of teaching and learning. Plenary Panel presentation at the MSRI Workshop on Assessing Students' Mathematics Learning, Berkeley, CA.
Wilson, M., & Scalise, K. (2004, March). Using assessment to improve learning: The BEAR Assessment System. Keynote address at the Enhancement Themes 4th Assessment Workshop, The Robert Gordon University, Aberdeen, Scotland.
Wilson, M., & Scalise, K. (2003, November). Research on learning: Implications for assessment in higher education. Plenary Address at the California Association for Institutional Research Annual Conference, Rohnert Park, CA.
Wilson, M., & Scalise, K. (2003, June). Research on learning: Implications for higher education. Opening Plenary Address at the American Association for Higher Education Assessment Conference, Seattle.
Wilson, M. (2003, April). The technologies of assessment. Invited presentation at the AEL National Research Symposium "Toward a National Research Agenda for Improving the Intelligence of Assessment Through Technology," Chicago.
Wilson, M. (2003, April). Comments on issues in international assessment. Discussant at a Presidential Invited Session on international assessment, American Educational Research Association annual meeting, Chicago.
Wilson, M., & Draney, K. (2003, February). The BEAR Assessment System: Balance and Coherence. Invited presentation at the National Research Council ?Bridging the Gap? Workshop, Washington DC.
Wilson, M. (2002, July). The 2002 Harold Gulliksen Lectures, Educational Testing Service, Princeton, New Jersey.
Lecture I. A constructive approach to measurement.
Lecture II. On choosing a model for measuring.
Lecture III. Multidimensional item response modeling: An introduction (with Derek Briggs).
Lecture IV. Item response modeling as an application of generalized linear mixed models (with Paul De Boeck).
Lecture V. Modeling differential facet difficulty with SAS NLMixed. (with Yiyu Xie).
Wilson, M. (2002, June). Did they really know what students know? Paper presented at the Distinguished Visitors lecture series in the Education and Arts Faculty, University of Newcastle, Newcastle, New South Wales, Australia.
Wilson, M. (2002, June). Item response theory as an application of nonlinear mixed models. Paper presented at the Distinguished Visitors lecture series in the Statistics Department, University of Newcastle, Newcastle, New South Wales, Australia.
Wilson, M. (2002, February). Assessment: The necessary connection between the classroom and policy-makers. Invited presentation at the Texas Symposium on Testing and Assessment, University of Texas at Dallas.
Wilson, M. (2001, October). On choosing a model for measuring. Invited paper at the International Conference on Objective Measurement 3, Chicago, Il.
Wilson, M. (2001, August). The BEAR Assessment System. Invited presentation at the "Assessment and Cognition: Theory to Practice" Conference, University of Maryland, College Park, MD.
Wilson, M. (2001, August). Beyond BEAR. Invited presentation at the "Assessment and Cognition: Theory to Practice" Conference, University of Maryland, College Park, MD.
Wilson, M., & Draney, K. (2000, May). Standard Mapping: A technique for setting standards and maintaining them over time. Paper in an invited symposium entitled "Models and analyses for combining and calibrating items of different types over time" at the International Conference on Measurement and Multivariate Analysis, Banff, Canada.
Wilson, M. (2000, January). The role of assessment in evaluation: materials development and professional development. Invited presentation at The Evaluation Forum, Lawrence Hall of Science, UC Berkeley.
Wilson, M. & Briggs, D. (1999, December), An introduction to individual growth modeling: A multilevel modeling perspective. Invited presentation at the Institute for Human Development Colloquium, UC Berkeley.
Wilson, M. (1999, May). Multilevel models in educational research. Presentation at the annual meeting of the Chicago chapter of the American Statistical Association, Chicago.
Wilson, M. (1998, July). Embedding developmental assessment into an instructional curriculum: The case of SEPUP?s Issues, Evidence and You. International Developmental Assessment Seminar, Royal Melbourne Institute of Technology, Melbourne, Australia.
Wilson, M. (1998, January). How do curriculum developers measure success? . ScienceGate II Conference, Xerox Document University, VA.
Wilson, M. (1997, June). Recent developments in item response modeling. Language Testing Research Centre, University of Melbourne, Australia.
Wilson, M. (1997, June). A theory of the measurement of knowledge content, access and learning. Presentation to the Cognitive Psychology Seminar in the Psychology Department at the University of Melbourne, Australia.
Wilson, M. (1997, January). Assessment and evaluation together in the service of instruction and learning. NSF Status of Middle School Science Conference. Washington, DC.
Wilson, M. (1994, December). Some thoughts on componential models. Invited participant in a colloquium on "Componential item response models" at the Catholic University of Lueven, Belguim.
Wilson, M. (1994, April). What technical issues might be major concerns in implementing new assessments and new technologies. Invited participant in a colloquium on "Assessment in the 21st century: Issues, technologies, and challenges" NCME annual meeting, New Orleans.
Wilson, M. (1993, April). Invited participant in a colloquium on "The technical requirements of high stakes performance assessments: Answers to your questions" NCME annual meeting, Atlanta.
Wilson, M., & Adams, R.J. (1992, June). Evaluating progress with alternative assessments: A model for Chapter 1. Invited address to the conference on Curriculum and Assessment Reform. Boulder, CO.
Wilson, M. (1991, November). Measurement models for new forms of student assessment in mathematics education. Keynote address at the First National Conference on Assessment in the Mathematical Sciences. Australian Council for Educational Research, Geelong, Australia.
Masters, G., & Wilson, M. (1991, March). Partial credit models: An introduction for test developers. Half-day workshop given at Educational Testing Service, Princeton, New Jersey.
Masters, G., & Wilson, M. (1991, March). Partial credit models: Advanced session for statistical analysis and measurement research staff. Full-day workshop given at Educational Testing Service, Princeton, New Jersey.
Wilson, M. (1990). A mixture model approach to the measurement of stage-like development. Berkeley-Stanford Quantitative Methods Colloquium, University of California, Berkeley.
Wilson, M., & Mislevy, R.J. (1989). Test theory for measuring understanding and learning. Paper presented at the Educational Testing Service Invitational Symposium on Language Acquisition and Language Assessment, Princeton, NJ.
Refereed Presentations
Castellano, K., Duckor, B., Wihardini, D., Tellez, K., & Wilson, M. (2013, April). Validity Evidence for the Internal Structure of the Performance Assessment for California Teachers’ Elementary Mathematics Teaching Event. Paper presented at the annual meeting of the National Council for Measurement in Education, San Francisco.
Shin, H. J., & Wilson, M. (2013, April). Evaluation of School Effects Using Latent Growth Item Response Models. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Yao, S-H., & Wilson, M. (2013a, April). Developing and Validating a Learning-Progression-Based Assessment of the Structure of Matter. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Yao, S-H., & Wilson, M. (2013b, April). Validation of a Learning Progression in Science: A Latent Class Analysis Approach. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Blunk, M., Moss, P., Dray, A., Furr, D., Wilson, M., & Altman, M. (2013, April). Exploring the Validity of Assessments of Teaching Practice in Teacher Education: A Mixed-Methods Study. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Castellano, K., Duckor, B., Tellez, K., & Wilson, M. (2013, April). Validity Evidence for the Internal Structure of the Performance Assessment for California Teachers’ Elementary Mathematics Teaching Event. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Duckor, B., Castellano, K., Tellez, K., & Wilson, M. (2013, April). Validating the Internal Structure of the Performance Assessment for California Teachers (PACT):A Multidimensional Item Response Model Study. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Duckor, B., Draney, K., Wilson, M. (2013, April). Assessing Assessing: An Item Response Modeling Approach. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M(link is external). (2013, April). Challenges and Opportunities of Learning Progressions for the Psychometric Community(link is external). Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Sammet, K.(link is external), Moore, S.(link is external), & Wilson, M.(link is external). (2013, April). Measuring Positive Youth Development in Context with the Desired Results Developmental Profile - School Age(link is external). Paper presented at the Annual meeting of the American Educational Research Association, San Francisco.
Chiu, T.(link is external), Morell, L.(link is external), & Wilson, M.(link is external). (2013, April). Coding Student Responses: An Iterative and Construct-Driven Approach that Uses Multiple Sources of Data(link is external). Paper presented at the Annual meeting of the American Educational Research Association, San Francisco.
Wilson, M.(link is external), Black, P.(link is external), & Morell, L.(link is external). (2013, April). A Learning Progression Approach to Understanding Students’ Conceptions of the Structure of Matter(link is external). Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Maul, A., Wilson, M., & Torres Irribarra, D. (2013, March). On the conceptual foundations of psychological measurement. Paper presented at the Dimensions of Measurement conference, Bielefeld, Germany.
Fisher, Jr., W. P.(link is external), Seeratan, K.(link is external), Draney, K.(link is external), Wilson, M.(link is external), Murray, E.(link is external)(2012, April). Predicting Mathematics Test Item Difficulties: Results of a Preliminary Study(link is external). Paper presented at the International Objective Measurement Workshop in Vancouver, BC.
Lee, H. Kyung(link is external), Fisher, Jr., W. P.(link is external), McKerracher, A.(link is external), Seeratan, K.(link is external), Draney, K.(link is external), Wilson, M. R.(link is external), et al.. (2012, April). Special Education Learning Progressions in Mathematics: An Investigation Using the BEAR Assessment System(link is external). Paper presented at the International Objective Measurement Workshop, Vancouver, BC.
Wilson, M., Irribarra, D. T., & Diakow, R. (2012, April). Evaluating practical implications of alternative latent structures: Consequences for interpretation. Paper presented at the AERA annual meeting, Vancouver.
Wilson, M. & Scalise, K. (2012, April). Assessment of learning in digital social networks. Paper presented at the AERA annual meeting, Vancouver.
Seeratan, K. L., Draney, K. L., Haertel, G. D., Fisher, W. P., Murray, E. Blackorby, J., Wilson, M. R., Saldarriaga, C., Lee, H-K., Thayer , S., Lim, S., McKerracher A. M. (2012, April). Diagnostic learning progressions framework—Developing a universally designed classroom assessment system that is inclusive of students with mathematics learning disabilities: Our First Pilot Study. Paper presented at the AERA annual meeting, Vancouver.
Wilson, M. & Moore, S. (2012, April). DRDPtech: Desired Results Developmental Profile (DRDP) online assessment system. Paper presented at the AERA annual meeting, Vancouver.
Wilson, M. & Moore, S. (2012, April). Research studies supporting Desired Results Development Profile 2010 validity. Paper presented at the AERA annual meeting, Vancouver.
Diakow, R., Irribarra, D. T., & Wilson, M. (2012, April). Analyzing the Complex Structure of a Learning Progression: Structured Construct Models. Paper presented at the National Council on Measurement in Education Annual Meeting, Vancouver, Canada.
Lee, Y., & Wilson, M. (2012, April). A multidimensional model with internal factors for componential structure of data. Paper presented at the National Council on Measurement in Education Annual Meeting, Vancouver, Canada.
Choi, J., Wilson, M., & Rabe-Hesketh, S. (2012, April). An Evaluation of the GLLAMM approach to generalizability in item response modeling. Paper presented at the National Council on Measurement in Education Annual Meeting, Vancouver, Canada.
Choi, J., Shin, H.J., Draney, K. Anderson, C.W., & Wilson, M. (2012, April). Exploring the relationship between forced-choices and constructed responses of mixed-format items using MIRT estimates. Paper presented at the National Council on Measurement in Education Annual Meeting, Vancouver, Canada.
Irribarra, D. T., Diakow, R., & Wilson, M. (2012, April). Alternative specifications for structured construct models. Paper presented at the IOMW 2012 Conference, Vancouver.
Wilson, M., Irribarra, D. T., & Maul, A. (2012, April). What’s philosophy got to do with measuring?: On the disconnect between theory and practice in social science measurement. Paper presented at the IOMW 2012 Conference, Vancouver.
Moore, S., Wilson, M., Yi-Hung Lin, Y. (2012, April). Measurement scales linked and equated across age-level assessments to span developmental trajectories from birth to kindergarten for multiple domains in early-childhood education: The Desired Results Development Profile (DRDP).Paper presented at the IOMW 2012 Conference, Vancouver.
Duckor, B., Draney, K., Wilson, M. (2012, April). Assessing assessing; An item response approach. Paper presented at the IOMW 2012 Conference, Vancouver.
Lehrer, R., Wilson, M., Ayers, E., & Kim, M-J. (2011, September). Assessing data modeling and statistical reasoning. Paper presented at the Fall Conference, Society for Research on Educational Effectiveness (SREE), Washington, DC
Choi, I-H., & Wilson, M. (2011, July). Mixture extensions of the linear logistic test model (LLTM) using markov chain monte carlo (MCMC) estimation. Paper presented at the International Meeting of the Psychometric Society, Hong Kong.
Lee, Y., & Wilson, M. (2011, July). Random item MIRID modeling and its application. Paper presented at the International Meeting of the Psychometric Society, Hong Kong.
Wilson, M., Ayers, E., & Lehrer, R. (2011, July). Developing assessments of data modeling and mapping a learning progression. Paper presented at the International Meeting of the Psychometric Society, Hong Kong.
Schwartz, R., Ayers, E., & Wilson, M. (2011, July). Mapping a learning progression using unidimensional and multidimensional item response models. Paper presented at the International Meeting of the Psychometric Society, Hong Kong.
Ayers, E., Torres Irribarra, D., Wilson, M. (2011, July). Modeling links between dimensions of a learning progression using SEM. Paper presented at the International Meeting of the Psychometric Society, Hong Kong.
Choi, J., Wilson, M., & Rabe-Hesketh, S. (2011, July). Combining generalizability theory and item response theory using the GLLAMM framework. Paper presented at the International Meeting of the Psychometric Society, Hong Kong.
Wilson, M. (2011, April). Linking dimensions in an outcome progression. Paper presented at the annual meeting of the Jean Piaget Society, Berkeley, CA.
Diakow, R.,Irribarra, D. T., & Wilson, M. (2011, April). Analyzing the complex structure of a learning progression: Structured construct models. In E. Ayers (Chair) Measuring Learning Progression for Data Modeling: Psychometric Modeling and Issues. Symposium conducted at the annual meeting of the National Council of Measurement in Education, New Orleans: LA.
Schwartz, R., Ayers, E., & Wilson, M. (2011, April). Mapping a learning progression using unidimensional and multidimensional item response modeling. In E. Ayers (Chair) Measuring Learning Progression for Data Modeling: Psychometric Modeling and Issues. Symposium conducted at the annual meeting of the National Council of Measurement in Education, New Orleans: LA.
Ayers, E., & Wilson, M. (2011. April). Pre-Post Analysis Using a 2-Dimensional IRT Model. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Lehrer, R., & Wilson, M. (2011. April). Developing Assessments of Data Modeling: Construct Maps as Boundary Objects. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Moss, P. A. & Wilson, M. (2011, April). Developing an Integrated Assessment System in Elementary Teacher Education (DIAS): Mathematics. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Seeratan, K.L., Draney, K., Wilson, M., Haertel, G., Murray, E., & Blackorby, J. (2011, April). Diagnostic Learning Progressions Framework: Developing a Universally Designed Formative and Summative Classroom Assessment System for Students With Mathematics Learning Disabilities. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Moss, P., Wilson, M. & Dray, A.J. (2010, October). A role for learning progressions in teacher education: The DIAS project. Paper presented at the annual meeting of the California Council on Teacher Education, San Diego, CA.
Schwartz, R., Ayers, E., & Wilson, M. (2010, April). Modeling a Multi-dimensional Learning Progression. Paper presented at the annual meeting of the American Educational Research Association. Denver, CO.
Dray, A.J., Brown, N.J., Lee, Y., Diakow, R & Wilson, M. (2010, May). The nature of “embedded assessment:” The development of a measure of reading comprehension for struggling adolescent readers. Paper presented at the annual meeting of the American Education Research Association, Denver, CO.
De Boeck, P., & Wilson, M. (2010, May). Multidimensional Random Item Profile Models. Paper presented at the Annual Meeting of the National Council for Measurement in Education, Denver, CO.
Yao, S-Y., & Wilson, M. (2010, May). Random Item Profile Modeling of DIF. Paper presented at the Annual Meeting of the National Council for Measurement in Education, Denver, CO.
Choi, J., Chen, J., Wilson, M. (2010, May). Random Item Profile Modeling of Polytomous Responses. Paper presented at the Annual Meeting of the National Council for Measurement in Education, Denver, CO.
Scalise, K., & Wilson, M. (2010, May). Examining Student Reasoning with Bundle Models in Criterion-Referenced Assessment. Paper presented at the Annual Meeting of the National Council for Measurement in Education, Denver, CO.
Diakow, R., Torres Irribarra, D., & Wilson, M. (2010, May). New Graphical Methods for the Representation of Ordered Partition Models. Paper presented at the Annual Meeting of the National Council for Measurement in Education, Denver, CO.
Brown, N. S., Kulikowich, J. N., & Wilson, M. (2010, May). Learning Progressions in Science: Theoretical, Curricular, Assessment, and Psychometric Considerations. . Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO.
Wilson, M. (2010, May). 21st-Century Measurement for 21st-Century Skills. Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO.
Berson, E., Yao, S-Y., Morell, L., & Wilson, M. (2010, May). Teachers and Researchers: Codeveloping Classroom Assessments for Eighth-Grade Physical Science(link is external)Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO.
Wilson, M., Scalise, K.,Gochyyev, P., (link is external)Lin, Y-H., & Torres Irribarra, D. (2010, May). Progress Monitoring for Real Classroom Contexts: The Formative Assessment Delivery System. Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO.
Moss, P. A. & Wilson, M. (2010, May). A Role for Learning Progressions in Teacher Education: The DIAS Assessment System. Paper presented at the Annual Meeting of the American Educational Research Association, Denver, CO.
Brown, N., Nagashima, S., Fu, A., Timms, M., & Wilson, M. (2010, April). Analyzing Scientific Reasoning in Assessments Using Construct Modeling and the Evidence-Based Reasoning Framework. Paper presented at the International Objective Measurement Workshop, University of Colorado, Boulder.
Choi, I., Kim, Y., Moore, S., & Wilson, M. (2010, April). The Desired Results Developmental Profile: Validity Evidence for a Multidimensional, Multi-age Instrument. Paper presented at the International Objective Measurement Workshop, University of Colorado, Boulder.
Yao, S. Y., Berson, E., Ayers, E., Cho, S.,& Wilson, M. (2010, April). The Qualitative Inner-Loop of the BEAR Assessment System. Paper presented at the International Objective Measurement Workshop, University of Colorado, Boulder.
Wilson, M., & Morell, L. (2010, April). The BEAR Assessment System—state of the art. Paper presented at the International Objective Measurement Workshop, University of Colorado, Boulder.
Dray, A.J., Brown, N.J., Lee, Y., Diakow, R & Wilson, M. (2010, April). The San Diego Striving Readers Assessment Project: Creating Measures of Reading Comprehension for Adolescent Readers. Paper presented at the International Objective Measurement Workshop, University of Colorado, Boulder.
Kim, M. J., Zhou, W., Dray, A., Walker, L., Lehrer, R. & Wilson, M. (2009, June). Assessing data modeling and statistical reasoning. Poster session presented at the annual meeting of the Institute of Education Sciences Research Conference, Washing ton D.C
Walker, L., Schwartz, R., Dray, A.J., Torres, D.I., Full, M.C. & Wilson, M. (2009, April). Assessing data modeling: A multidimensional analysis. Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA.
Wilson, M., Kennedy, C., Su, Y.-H., & Scalise, K. (April, 2009). The Formative Assessment Delivery System (FADS). Paper presented at the annual meeting of American Educational Research Association, San Diego, California.
Cho, S-J., De Boeck, P., & Wilson, M. (2009, April). Secondary Dimension Modeling of DIF: A Mixture Approach for Test Speededness. Paper presented at the annual meeting of the National Council for Measurement in Education, San Diego.
Wilson, M. (2009, April). Growth in student achievement: Can we have both meaning and technical rigor? Paper presented at the annual meeting of the National Council for Measurement in Education, San Diego.
Black, P, & Wilson, M. (2009, April). Learning Progressions to Guide Systems of Formative and Summative Assessment.Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Wilson, M. (2009, April). Evidence in learner assessment: A multilevel validity strategy. Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Dray, A., Weinberg, P., Lehrer, R., Wilson, M. (2008, June). Assessing data modeling in middle school students. Poster presented at the Institute of Education Sciences Research Conference, Washington D.C.
Wilson, M., Zheng, X., & Walker . L. (2008, June). Latent Growth Item Response Models. Paper presented at the International Meeting of the Psychometric Society, Durham, NH.
Brown, N.J. , Wilson, M., Dray, A.J., Lee. Y. (2008, March). Assessing literacy in the classroom: The Berkeley Evaluation and Assessment Research system for the Striving Readers Literacy project. Paper presented at the annual meeting of the American Educational Research Association, New York, NY.
Wilson, M. (2008, March). Measuring progressions. In A. C. Alonzo & A. W. Gotwals (Chairs), Diverse perspectives on the development, assessment, and validation of learning progressions in science. Symposium conducted at the annual meeting of the American Educational Research Association, New York. Retrieved March 30, 2008, from http://myweb.uiowa.edu/alonzo/aera2008.html(link is external).
Seeratan, K. L., Zhou, W., Karelitz, T., Burmester, K., Kim, M., Full, M., Schwartz, R., & Wilson, M. (2008, March). Making sense of student responses to assessment items using scoring exemplars. Paper presented at the annual meeting of the American Educational Research Association, New York.
Scalise, K., Claesgens, J., Wilson, M., & Stacy, A. (2007, October). ChemQuery: An assessment system for mapping student progress in learning general chemistry. Paper presented in the Proceedings of the National STEM Assessment Conference, Washington, D.C.
Wilson, M. (2007, September). On the large scale. Paper presented at the European Association for Research in Learning and Iistruction annual conference, Budapest, Hungary,
Draney, K. Wilson, M., Choi, J., & Lee, Y. (2007, July). Developing progress variables and learning progressions for the Carbon Cycle. Interactive Poster Session for the Knowledge Sharing Institute (KSI) of the Center for Curriculum Materials in Science (CCMS), Washington, DC.
Scalise, K., & Wilson, M. (2007). Bundle models for computer adaptive testing in E-learning assessment. Paper presented at the 2007 Graduate Management Admission Council (GMAC) Conference on Computerized Adaptive Testing, Minneapolis, MN. Also presented at the annual meeting of the American Educational Research Association, New York, March, 2008.
Wilson, M. (2007, March). Implications of cognitive and sociocultural studies for the practice of assessment: A dialogue across different perspectives. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Wilson, M., & Black, P. (2007, March). The idea of a learning progression as a core for both instruction and assessment. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Wilson, M. (2007, March). Constructing measures: An item response modeling approach. Paper presented at the annual meeting of the National Council for Measurement in Education, Chicago.
Wilson, M. (2007, March). Reflections on brokering psychometric and teaching/learning communities. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Claesgens, J. M., Scalise, K., Draney, K. L., Wilson, M., & Stacy, A. (2007, March). The ChemQuery story: Measurable insights on how students learn chemistry. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Liu, O. L., & Wilson, M. (2007, March). Gender differences and similarities in PISA 2003 Mathematics: A comparison between the United States and Hong Kong. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Paek, I., Stankov, L., Lee. J., & Wilson, M. (2007, March). A study of confidence and accuracy using the Rasch modeling proceduresPaper presented at the annual meeting of the American Educational Research Association, Chicago.
Scalise, K., Claesgens, J., Wilson, M., & Stacy, A. (2006). ChemQuery: An Assessment System for Mapping Student Progress in Learning General Chemistry. Paper presented at the NSF Conference for Assessment of Student Achievement, Washington, D.C.
Allen, D. D., & Wilson, M. (2006, July). Introducing Multidimensional Item Response Modeling: the Treatment of Self-Regulation Questionnaire. Symposium presented at the annual conference of the International Society of Behavioral Nutrition and Physical Activity, Boston, MA.
Allen, D. D., & Wilson, M. (2006, July). Introduction to Item Response Theory Methods and Comparison to Classical Test Theory. Symposium presented at the annual conference of the International Society of Behavioral Nutrition and Physical Activity, Boston, MA.
Brown, N. S., Kennedy, C., Draney, K., & Wilson, M. (2006, April). Assessing a learning progression in science: Solving psychometric issues. Paper presented at the 13th meeting of the International Objective Measurement Workshop, Berkeley.
Paek, I., Yon, H., & Wilson, M. (2006, April). Random Parameter Structure and Testlet Model: Extension of the Rasch Testlet Model. Paper presented at the 13th meeting of the International Objective Measurement Workshop, Berkeley.
Xie, Y., & Wilson, M. (2006, April). Imperial vs. Metric Study (IMS). Paper presented at the 13th meeting of the International Objective Measurement Workshop, Berkeley.
Yamada, H., Draney, K., Karelitz, T., Moore, S., & Wilson, M. (2006, April). Comparison of dimension-aligning techniques in a multidimensional IRT context. Paper presented at the 13th meeting of the International Objective Measurement Workshop, Berkeley.
O’Rourke, K., Karelitz, T., Zheng, X., Wilson, M. (2006, April). Measuring statistical reasoning: development of an assessment system for data modeling. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Karelitz, T., Draney, K., & Wilson, M. (2006, April). Diagnostic assessment using continuous vs. discrete ability models.Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M., & Hallam, P. J., Pecheone, R., & Moss, P. (2006, April). Using student achievement test scores as evidence of external validity for indicators of teacher quality: Connecticut’s Beginning Educator Support and TrainingProgram Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Kennedy, C., Brown, N. S., Draney, K., & Wilson, M. (2006, April). Using progress variables and embedded assessments to improve learningPaper presented at the annual meeting of the American Educational Research Association, San Francisco.
Long, K., Kennedy, C., Wilson, M., Fried, R., Haertel, G., & Murphy, R. (2006, April). An illustration of how FOSS designed and implemented assessments in PADI. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M. & Mangione, P. (2006, January). Theory to practice: Conceptualizing and creating developmental indicators. Paper presented at a meeting on the First 5 Preschool Evaluation, First 5 California, Los Angeles.
Wilson, M. (2005, October). Introduction to IRT applications for PRO assessment.Paper presented at the annual meeting of the International Society of Quality of Life, San Francisco.
Karelitz, T., Draney, K., & Wilson, M. (2005, July). Linking continuous and categorical models. Paper presented at the 70th Annual Meeting of the Psychometric Society, Tilburg, The Netherlands.
Wilson, M. (2005, July). Systems for state science assessment. Paper presented at the Large Scale Assessment Conference of the Chief State School Officers Association, San Antonio, TX.
Wilson, M., & Draney, K. (2005, July). Some links between large-scale and classroom assessments: The case of the BEAR Assessment System. Paper presented at the Large Scale Assessment Conference of the Chief State School Officers Association, San Antonio, TX.
Scalise, K., & Wilson, M. (2005, April). Bundle models for data driven content in E-learning and CBT: The BEAR CAT approach. Paper presented at the annual meeting of the National Council for Measurement in Education, Montreal.
Wilson, M., & Draney, K. (2005, April). Some links between large-scale and classroom assessments: The case of the BEAR Assessment System. Paper presented at the annual meeting of the National Council for Measurement in Education, Montreal.
Kennedy, C., & Wilson, M. (2005, April). Models and Tools for Drawing Inferences from Student Work: The BEAR Scoring Engine. Paper presented at the annual meeting of the American Educational Research Association, Montreal.
Draney, K., & Wilson, M. (2005, April). Assessing multiple dimensions across the years of childhood. Paper presented at the annual meeting of the American Educational Research Association, Montreal.
Wilson, M., Kennedy, C., Brown, N., & Draney, K. (2005, April). Using Progress Variables and Embedded Assessment to Improve Teaching and Learning. Paper presented at the annual meeting of the American Educational Research Association, Montreal.
Wilson, M., Karelitz, T., Zheng, X., & Burmester, K. (2005, April). The assessment system. Paper presented in a symposium on "Constructing Data, Modeling Worlds: Collaborative Investigation of Statistical Reasoning" at the Research Presession to the National Council of Teachers of Mathematics Annual Meeting.
Wilson, M. (2005, March). Background to the Committee's work: Test Design for K-12 Science Achievement. Paper presentation at the National Science Teachers Association National Convention, Dallas, TX.
De Boeck, P., & Wilson, M. (2004, July). Expressing item response models as GLMMs and NLMMs. Paper presented at the 24th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences (SMABS 2004), Jena University, Germany.
Wilson, M., & De Boeck, P., (2004, July). Explanatory measurement models. Paper presented at the 24th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences (SMABS 2004), Jena University, Germany.
De Boeck, P., & Wilson, M. (2004, July). Explanatory measurement: further extensions. Paper presented at the 24th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences (SMABS 2004), Jena University, Germany.
Wilson, M. (2004, July). On choosing a model for measuring. Part II: Polytomous data. Paper presented at the International Objective Measurement Workshop, Cairns, Australia.
Wilson, M., Mangione, P. L, Brown, R. S., Heal, H. B., & Moore, S. (2004, April). Theory to Practice: Conceptualizing and Creating Developmental Indicators across Domains . Paper presented at the annual meeting of the American Educational Research Association, San Diego. (Also presented at the HeadStart National Research Conference, Washington, DC.)
Wilson, M., & Kennedy, C. (2004, April). Next Steps: PADI Calibration and Scoring Engine. Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Scalise, K., Claesgens, J., Krystyniak, R., Mebane, S., Wilson, M., & Stacy, A. (2004, April). Perspectives of Chemists: Tracking conceptual understanding of student learning in chemistry at the secondary and university levels. Paper presented at the American Educational Research Association Annual Meeting, San Diego, CA.
Briggs, D., Alonzo, A., Schwab, C., & Wilson, M. (2004). Developmental Assessment with Ordered Multiple-Choice Items. Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Wilson, M., Moore, S. M., & Brown, R. S. (2004, April). Psychometric Scaling of Developmental Outcomes: Assessing Multiple Dimensions Across the Years of Childhood. Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Rost, J., & Wilson, M. (2003, November). Testable facts of science competence?TEFASCO. Paper presented at the International Conference on research and development in Mathematics and Science Education, Washington, DC.
Wilson, M., & Draney, K. (2003, July). Selecting cut scores with a composite of item types: The "Construct Mapping" procedure. Paper presented at the "Bilateral workshop on psychometrics: Flanders?Chile", Leuven, Belguim.
Wilson, M., & Xie, Y. (2003, July). Modeling fixed and random item features with SAS NLMixed. Presented at the International Meeting of the Psychometric Society, Cagliari (Sardinia), Italy
Wilson, M. (2003, April). Measurement as struggle. Paper presented at the Conference in honor of Ben Wright, Chicago.
Mislevy, R., Wilson, M., & Murphy, R. (2003, April). Next Steps for the PADI Project. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Kang, S., & Wilson, M. (2003, April). A Crossed Multilevel IRT Model for Analyzing Rated Polytomous Measures. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Wilson, M., & Draney, K. (2003, March). The BEAR Assessment System: Balance and coherence. Paper presented at the International Conference on research and development in Mathematics and Science Education, Kiel, Germany.
Araki, C. J., & Wilson, M. (2003, April). Self-Selected Study Activities of Ethnically Diverse College Students. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Paek, I., Peres, D. G. , & Wilson, M. (2002, April). Constructing one scale to describe two statewide exams. Paper presented at the International Objective Measurement Workshop, New Orleans, LA.
Kim, S., & Wilson, M. (2002, April). A comparative analysis of the ratings in performance assessment using generalizability theory and the many-facet Rasch model. Paper presented at the International Objective Measurement Workshop, New Orleans, LA.
Claesgens, J., Scalise, K., Draney, K., Wilson, M. & Stacey, A. (2002, April). Perspectives of Chemists: A framework to promote conceptual understanding of chemistry. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Briggs, D., & Wilson, M. (2001, April). Multidimensional measurement using Rasch models. Paper presented at the annual meeting of the American Educational Research Association, Seattle.
Wilson, M. (2001, April). Developments in test theory and psychometrics. Paper presented at the annual meeting of the American Educational Research Association, Seattle.
Wilson, M., Hoskens, M., & Draney, K. (2001, April). Rater effects: Some issues, some solutions. Paper presented at the annual meeting of the American Educational Research Association, Seattle.
Wilson, M., & Draney, K. (2000, June). Developmental assessment strategies in a statewide testing program: Scale interpretation, standard setting, and task-scoring for the Golden State Examinations. Paper presented at the Council of Chief State School Officers National Conference on Large Scale Assessment, Snowbird, UT.
Wilson, M., Draney, K. & Hoskens, M. (2000, April). Standard Setting on a Composite of Item Types: The ?StandardMapping? procedure. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Patz, R., Junker, B., Hoskens, M. & Wilson, M. (2000, April). Advances in item response models for multiple ratings of student work. Paper presented at the annual meeting of the National Council for Measurement in Education, New Orleans.
Briggs, D. & Wilson, M. (2000, April). An introduction to multidimensional measurement. Paper presented at the International Objective Measurement Workshop, New Orleans, LA.
Wang, W., Wilson, M., & Cheng, Y. (2000. April). Local dependence between latent traits when common stimuli are used. Paper presented at the International Objective Measurement Workshop, New Orleans, LA.
Wilson, M. (2000, April). Rasch models for item bundles. Paper presented at the International Objective Measurement Workshop, New Orleans, LA.
Hoskens, M., & Wilson, M. (2000, April). The rater bundle model. Paper presented at the International Objective Measurement Workshop, New Orleans, LA.
Wilson, M. (1999, August). Making the punishment fit the crime: Examples from psychometric modeling. Paper presented at the annual convention of the American Psychological Association, Boston.
Wilson, M., Draney, K., Adams, R., & Wu, M. (1999, July). ConQuest. Workshop presented at the European Meeting of the Psychometric Society, Lueneburg, Germany.
Wilson, M. (1999, July). Testing stages. Paper presented at the European Meeting of the Psychometric Society, Lueneburg, Germany. (also presented at the Cognition and Development Colloquium, UC-Berkeley, September, 1999)
Dawson, T. L., Commons, M. L., Wilson, M., & Xie, Y. (1999, June). The General Model of Hierarchical Complexity Scoring System: Refinements and additions. Paper presented at the annual symposium of the Jean Piaget Society, Mexico City, Mexico.
Dawson, T. L., & Wilson, M. (1999, June). Why do different stage-scoring methods yield similar scores? Insights from a study of expert scorers. Paper presented at the Annual symposium of the Jean Piaget Society, Mexico City, Mexico.
Wilson, M. (1999, June). Rater Feedback Based on Item Response Modeling. Council of Chief State School Officers National Conference on Large Scale Assessment, Snowbird, UT.
Wilson, M. (1999, June). Modeling Repeated Ratings of Student Work. Council of Chief State School Officers National Conference on Large Scale Assessment, Snowbird, UT.
Wilson, M., & Hoskens, M. (1999, April). The rater bundle model. Paper presented at the annual meeting of the American Educational Research Association, Montreal.
Wilson, M. & Hofstetter, C. (1999, January). Evaluation Training Program (ETP), University of California, Berkeley. Paper presented at The National Science Foundation Workshop on Training Mathematics and Science Evaluators
Wilson, M. & Hofstetter, C. (1998, November). The Evaluation Training Program Doctorate in Program Evaluation at Berkeley. Paper presented at the American Evaluation Association annual meeting, Chicago.
Draney, K., & Wilson, M. (1998, June). Creating composite scores and setting performance levels: Use of a scaling procedure. Council of Chief State School Officers National Conference on Large Scale Assessment, Colorado Springs, CO.
Wilson, M., & Draney, K. (1998, June). Creating composite scores and setting performance levels: Comparison of raw score and scaling procedures. Council of Chief State School Officers National Conference on Large Scale Assessment, Colorado Springs, CO.
Roberts, L. & Wilson, M. (1998, April). Evaluating the effects of an integrated assessment system: Changing teacher?s practices and improving student achievement in science. Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Patz, R., Wilson, M., & Hoskens, M. (1998, April). Rater effects in NAEP: Recommendations for detection, evaluation and mitigation. Paper presented at the annual meeting of the American Educational Research Association, San Diego.
Wilson, M. (1997, September). The California comparability study. Paper presented at Comparability Symposium, sponsored by The Los Angeles County Office of Education, and the California Department of Education, Burlingame, CA.
Draney, K., & Wilson, M. (1997, July). Mapping student progress with embedded assessments: The challenge of making evaluation meaningful. Paper presented at the National Evaluation Institute workshop, Indianaplois.
Hoskens, M., Wilson, M., & Stavisky, H. (1997, June). Accounting for rater effects in large scale testing using IRT. Paper presented at the European meeting of the Psychometric Society.
Wilson, M. & Draney, K. (1997, March). Beyond Rasch in the measurement of stage-like development. Paper presented at the annual meeting of the American Educational Research Association, Chicago. (also presented at the Ninth International Objective Measurement Workshop, Chicago, March)
Dawson, T. L., Goodheart, E. A., Draney, K., Wilson, M., Commons, M. L. (1997, March). Concrete, abstract, formal, and systematic operations as observed in a ?Piagetian? balance-beam task Series. Paper presented at the annual meeting of the AERA. Chicago.
Hoskens, M., & Wilson, M. (1997, February). A state-wide performance assessment survey in science. Paper presented at the annual conference of the American Association for the Advancement of Science, Seattle.
Wilson, M. & Draney, K. (1997, February). Mapping student progress in science with embedded assessments. Paper presented at the annual conference of the American Association for the Advancement of Science, Seattle. (also presented at the Ninth International Objective Measurement Workshop, Chicago, March; and the annual meeting of the American Educational Research Association, Chicago, March)
Wilson, M., & Case, H. (1996, June). An investigation of the feasibility and potential effects of rater feedback on rater errors. Paper presented at the Council of Chief State School Officers National Conference, Phoenix, AZ.
Adams, R., & Wilson, M. (1996, April). Multilevel modeling of complex item responses in multiple dimensions: Why bother? Paper presented at the annual meeting of the American Educational Research Association, New York.
Wilson, M., Hoskens, M., & Wang, W. (1996, April). Complex item responses: Rater effects and item dependency. Paper presented at the annual meeting of the American Educational Research Association, New York, April.
Wilson, M., & Hoskens, M. (1996, April). Multidimensional item responses: Multimethod-multitrait perspectives. Paper presented at the annual meeting of the American Educational Research Association, New York, April.
Wilson, M., Thier, H., Sloane, K. & Nagle, B. (1996, April). What have we learned from developing an embedded assessment system? Paper presented at the annual meeting of the American Educational Research Association, New York.
Wilson, M. & Draney, K.. (1996, April). Mapping student progress with embedded assessments Paper presented at the annual meeting of the American Educational Research Association, New York.
Wang, W., Wilson, M., & Adams, R. (1996, April). The multidimensional random coefficients multinomial logit model for measuring individual differences in change. Paper presented at the annual meeting of the American Educational Research Association, New York, April.
Wilson, M. & Adams, R.J. (1995, August). Issues in Complex Sampling Involving Latent Variables. Paper presented at the annual meeting of the American Statistical Association, Orlando, FL.
Wilson, M., & Hoskens, M. (1995, July). A conjunctive item response model for componential data. Paper presented at the European meeting of the Psychometric Society, Leiden, The Netherlands.
.Wang, W., & Wilson, M. (1995, April). Item response modeling for multidimensional between-items and multidimensional within-items. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Kaufman, P., Wilson, M., & Adams, R. (1995, April). Multilevel item response models of students ?at risk?. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M. & Draney, K. (1995, April). Partial credit in a developmental context: A mixture model approach. Paper presented at the annual meeting of the National Council for Measurement in Education, San Francisco (Also presented at the Eighth International Objective Measurement Workshop, Berkeley, CA).
Wilson, M., and Adams, R.J. (1994, June). Beyond plausibility? Paper presented at the annual meeting of the Psychometric Society, Champaign-Urbana, IL.
Wilson, M. (1994, April). Multimode assessment involving raters. Paper presented at the annual meeting of the American Educational Research Association, Atlanta.
Draney, K.L., & Wilson, M.R. (1994, April). An object-based learning environment for exploratory data analysis. Paper presented at the annual meeting of the American Educational Research Association, Atlanta.
Adams. R.J., & Wilson, M. (1994, April). A non-linear multilevel model: An alternative to plausible values. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Pirolli, P. & Wilson, M. (1993). A theory for the scientific measurement of knowledge systems operating in context. The Human Machine Cognition Conference, Pensacola, FL.
Wilson, M. (1993, June). A multilevel perspective on quasi-experimental research. Paper presented at the annual meeting of the Psychometric Society, Berkeley, CA.
Pirolli, P., Wilson, M., & Draney, K. (1993, May). Cognitive diagnosis of self explanation and self regulation strategies using the CMU LISP Tutor. Conference on Alternative Diagnostic Assessment, University of Iowa, Iowa City, IA.
Wilson, M., & Pirolli, P. (1993, May). Measurement of cognitive systems. Conference on Alternative Diagnostic Assessment, University of Iowa, Iowa City, IA.
Wilson, M. (1993, April). The RCML family. Paper presented at the Seventh International Objective Measurement Workshop, Emory University, Altlanta, GA.
Draney, K, Pirolli, P., & Wilson, M. (1993, April). Using the RCML to investigate linear logistic test models in a complex domain. Paper presented at the Seventh International Objective Measurement Workshop, Emory University, Altlanta, GA.
Adams, R.J., Wilson, M., and Wu, M. (1993, April). Multilevel item response modelling. Paper presented at the annual meeting of the American Educational Research Association, Atlanta.
Wang, W., & Wilson, M. (1993, March). Comparing multiple-choice and performance-based items. Paper presented at the California Learning Assessment System Technical Advisory Committee meeting, San Francisco, March 1993. Also presented at the Seventh International Objective Measurement Workshop, Emory University, Altlanta, GA, April 1993.
Wilson, M., and Adams, R.J. (1992, July). A multilevel perspective on the "two scientific disciplines of psychology". Paper presented in a symposium at the XXV International Congress of Psychology, Brussels.
Pirolli, P., & Wilson, M. (1992, June). Measuring learning strategies and understanding: A research framework. Paper presented at the ITS'92 (Intelligent Tutoring Systems 1992) conference, Montreal.
Adams, R.A, & Wilson, M. (1992, April). A random coefficients multinomial logit: Generalising Rasch models. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M., & Adams, R.A. (1992, April).Rasch models for item bundles. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Draney, K., & Wilson, M. (1992). The impact of design characteristics on study outcomes in retention research: A meta-analytic perspective. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M. (1991). To describe their performances well: Contributions towards a new psychometrics. Paper presented at the National Academy of Education Spencer Fellows Forum, Boston.
Pirolli, P., & Wilson, M. (1991). Alternative measurement models for student modelling in Intelligent Tutoring Systems. Paper presented at the first meeting of the Office of Naval Research Cognitive Diagnosis Group, LRDC, Pittsburgh.
Wilson, M. (1991). Flunking retention; A revision of a meta-analysis. Paper presented in the Seminar Series in Quantitative Political and Social Science, University of California at Berkeley.
Wilson, M., & Adams, R. A. (1991). Describing Rasch models using a linear design matrix. Paper presented at the Sixth International Objective Measurement Workshop, University of Chicago.
Wilson, M., Bol, L., & Warkentin, R. (1991). The relationship between biology students' study activities and their achievement as moderated by course characteristics: A hierarchical linear model. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Wilson, M., & Masters, G. (1991). The partial credit model and null categories. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Wilson, M. (1991). Implications of new perspectives on student assessment for Chapter 1 and its evaluation: Educational leverage from a political necessity. Paper presented at the meeting of the Chapter I Performance Assessment Work Group, California State Department of Education, Sacramento, CA.
Wilson, M. (1991). A moderation perspective on the California Assessment Project. Paper presented at the meeting of the Technical Advisory Committee, California Assessment Project, San Francisco.
Wilson, M. (1990). An extension of the partial credit model to incorporate diagnostic information. Paper presented at the annual meeting of the National Council for Measurement in Education, Boston.
Ekstrand, K., & Wilson, M. (1990). Application of the Saltus model to a Piagetian test of cognitive development. Paper presented at the annual meeting of the American Educational Research Association, Boston.
Wilson, M. (1989). Commentary on an integrated approach to quantifying research synthesis. Invited paper presented at the Second Meeting of the Collaborative Alcohol-related Longitudinal Project, Institute for Health and Aging, University of California, San Francisco.
Wilson, M. (1989). Saltus: A psychometric model of discontinuity in cognitive development. Paper presented at the annual meeting of the Society for Mathematical Psychology, Irvine, California.
Wilson, M. (1989). Some comments on the use of Item Response Theory. Invited paper presented at the Australian Council for Educational Research Symposium on Applications of IRT to System-wide Testing, Melbourne, Australia.
Wilson, M. (1989). The partial order model. Paper presented at the Fifth International Objective Measurement Workshop, University of California, Berkeley.
Wilson, M. (1989). Application of a polytomous IRT model to attitude assessment in program evaluation. Paper presented at the Fifth International Objective Measurement Workshop, University of California, Berkeley.
Iventosch, L., & Wilson, M. (1989). An examination of gender-related item bias in SOLO mathematics items. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Thomas, J.W., Rohwer, W.D., & Wilson, M. (1989). Hierarchical models of studying. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Cunningham, A.E., Stanovich, K.E., & Wilson, M. (1989). Cognitive variation in adult students differing in academic ability. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M., Iventosch, L., & Gifford, B. (1988). Bootstrap estimation of standard errors for the hierarchical linear model. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Wilson, M. (1987). The structure of the quality of school life: An international comparison. Paper presented at the annual meeting of the National Council on Measurement in Education, Washington.
Wilson, M. (1987). The quality of school life of potential dropouts. Paper presented at the annual meeting of the American Educational Research Association, Washington.
Wilson, M. (1986). A psychometric model of hierarchical development. Paper presented at the annual meeting of the American Psychological Association, Washington.
Wilson, M. (1986). The quality of school life in Australian schools. Paper presented at the annual meeting of the Social Context of Education Division of the American Educational Research Association, Baton Rouge, Louisiana.
Wilson, M. (1986). Modelling SOLO science Items. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M. (1985). Scaling SOLO science Items. Paper presented at the annual meeting of the Australian Association for Research in Education, Hobart, Australia.
Wilson, M. (1985). A psychometric model of stage-like development. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Wilson, M. (1985). Scaling mathematical learning hierarchies. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Ziomek, R., & Wilson, M. (1984). A proposed additional index to Glass' effect size estimator with application of mastery learning experiments. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
Wilson, M. (1983). Finite measures from perfect scores. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
- July 1995-present: Professor
- July 1994-Dec 1996: Associate Dean for Student Affairs and Head Graduate Advisor,
- July, 1993 - June 1995: Associate Professor,
- July, 1989 - June 1993: Assistant Professor, and
- July 1986 - June 1989: Visiting Assistant Professor,
- Graduate School of Education, University of California, Berkeley, California.
- January 1986 - May 1986: Assistant Professor, College of Education, Louisiana State University, Baton Rouge, Louisiana.
- July 1984 - December 1985: Senior Research Officer in the Learning and Teaching Division at the Australian Council for Educational Research, Hawthorn, Australia.
- February 1979 - September 1981: Research Officer at the Australian Council for Educational Research, Hawthorn, Australia.
- February 1977 - November 1978: Grade 5 teacher at Yarraville West Primary School, Yarraville, Australia.
Interests and Professional Affiliations
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Fellow, American Educational Research Association
Divisional Membership: Measurement and Research Methodology
Special Interest Groups: Educational Statisticians
Rasch Measurement
Classroom Assessment
Committee/Board Membership: AERA Grants Governing Board (2007–2010)
Journal of Educational and Behavioral Statistics
Management Committee (Chair)
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Fellow, American Psychological Association
Divisional Membership: Evaluation, Statistics, and Measurement
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Member, National Academy of Education
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Member, American Statistical Association
Journal of Educational and Behavioral Statistics, Management Committee (Chair)
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Member, Australian Association for Research in Education
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Member, National Council on Measurement in Education
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Member, Psychometric Society
Member, Editorial Council
President (2011-12) (and President-Elect and Past President)
Member, Board of Trustees (2010-2013)
Achievement Issues
Assessment and Educational Measurement
Educational Statistics
Experimental Design In Education
Psychometrics
Quantitative Methods
Research Methods
Testing
