| Year |
Citation |
Score |
| 2023 |
Boyce SC, Minnis AM, Deardorff J, McCoy SI, Challa S, Johns N, Aliou S, Brooks M, Nouhou AM, Gochyyev P, Wilson M, Baker H, Silverman JG. Measuring social norms of intimate partner violence to exert control over wife agency, sexuality, and reproductive autonomy: an item response modelling of the IPV-ASRA scale. Reproductive Health. 20: 90. PMID 37316890 DOI: 10.1186/s12978-023-01632-w |
0.699 |
|
| 2022 |
Wilson M, Bathia S, Morell L, Gochyyev P, Koo BW, Smith R. Seeking a better balance between efficiency and interpretability: Comparing the likert response format with the Guttman response format. Psychological Methods. PMID 35025582 DOI: 10.1037/met0000462 |
0.758 |
|
| 2020 |
Kim J, Wilson M. Polytomous Item Explanatory Item Response Theory Models. Educational and Psychological Measurement. 80: 726-755. PMID 32616956 DOI: 10.1177/0013164419892667 |
0.415 |
|
| 2020 |
Chen YI, Wilson M, Irey RC, Requa MK. An innovative measure of orthographic processing: Development and initial validation: Language Testing. 37: 435-452. DOI: 10.1177/0265532220909310 |
0.339 |
|
| 2020 |
Wilson M, Gochyyev P. Having your cake and eating it too: Multiple dimensions and a composite Measurement. 151: 107247. DOI: 10.1016/J.Measurement.2019.107247 |
0.736 |
|
| 2020 |
Kim J, Wilson M. Polytomous item explanatory IRT models with random item effects: Concepts and an application Measurement. 151: 107062. DOI: 10.1016/J.Measurement.2019.107062 |
0.389 |
|
| 2019 |
Kaiser FG, Wilson M. The Campbell Paradigm as a Behavior-Predictive Reinterpretation of the Classical Tripartite Model of Attitudes. European Psychologist. 24: 359-374. PMID 32116425 DOI: 10.1027/1016-9040/A000364 |
0.306 |
|
| 2019 |
Shin HJ, Rabe-Hesketh S, Wilson M. Trifactor Models for Multiple-Ratings Data. Multivariate Behavioral Research. 1-22. PMID 30919664 DOI: 10.1080/00273171.2018.1530091 |
0.625 |
|
| 2019 |
Jeon M, Draney K, Wilson M, Sun Y. Investigation of adolescents' developmental stages in deductive reasoning: An application of a specialized confirmatory mixture IRT approach. Behavior Research Methods. PMID 30895455 DOI: 10.3758/S13428-019-01221-5 |
0.329 |
|
| 2019 |
Wilson M, Ruiz‐Primo MA, Paek P. Introduction to the Special Issue on Classroom Assessment Journal of Educational Measurement. 56: 667-669. DOI: 10.1111/Jedm.12231 |
0.354 |
|
| 2019 |
Feuerstahler L, Wilson M. Scale Alignment in Between‐Item Multidimensional Rasch Models Journal of Educational Measurement. 56: 280-301. DOI: 10.1111/Jedm.12209 |
0.311 |
|
| 2019 |
Metz KE, Cardace A, Berson E, Ly U, Wong N, Sisk-Hilton S, Metz SE, Wilson M. Primary Grade Children’s Capacity to Understand Microevolution: The Power of Leveraging Their Fruitful Intuitions and Engagement in Scientific Practices The Journal of the Learning Sciences. 28: 556-615. DOI: 10.1080/10508406.2019.1667806 |
0.32 |
|
| 2019 |
Wilson M, Scalise K, Gochyyev P. Domain modelling for advanced learning environments: the BEAR Assessment System Software Educational Psychology. 39: 1199-1217. DOI: 10.1080/01443410.2018.1481934 |
0.755 |
|
| 2019 |
Hermisson S, Gochyyev P, Wilson M. Assessing pupils’ attitudes towards religious and worldview diversity – development and validation of a nuanced measurement instrument British Journal of Religious Education. 41: 371-387. DOI: 10.1080/01416200.2018.1556604 |
0.765 |
|
| 2019 |
Maul A, Mari L, Wilson M. Intersubjectivity of measurement across the sciences Measurement. 131: 764-770. DOI: 10.1016/J.Measurement.2018.08.068 |
0.728 |
|
| 2018 |
Gochyyev P, Wilson M. Hierarchical and Higher-Order Factor Structures in the Rasch Tradition: A Didactic. Journal of Applied Measurement. 19: 338-362. PMID 30433879 |
0.713 |
|
| 2018 |
Wilson M. Classroom Assessment: Continuing the Discussion Educational Measurement: Issues and Practice. 37: 49-51. DOI: 10.1111/Emip.12194 |
0.346 |
|
| 2018 |
Wilson M. Making Measurement Important for Education: The Crucial Role of Classroom Assessment. Educational Measurement: Issues and Practice. 37: 5-20. DOI: 10.1111/Emip.12188 |
0.444 |
|
| 2018 |
Collier T, Morell L, Wilson M. Exploring the item features of a science assessment with complex tasks Measurement. 114: 16-24. DOI: 10.1016/J.Measurement.2017.08.039 |
0.794 |
|
| 2018 |
Fleming D, Wilson M, Ahlgrim‐Delzell L. Using item response theory to describe the Nonverbal Literacy Assessment (NVLA) Psychology in the Schools. 55: 341-349. DOI: 10.1002/Pits.22110 |
0.362 |
|
| 2017 |
Lee Y, Wilson M. Random Item MIRID Modeling and Its Application. Applied Psychological Measurement. 41: 97-114. PMID 29881080 DOI: 10.1177/0146621616675835 |
0.716 |
|
| 2017 |
Wilson M, Gochyyev P, Scalise K. Modeling Data from Collaborative Assessments: Learning in Digital Interactive Social Networks. Journal of Educational Measurement. 54: 85-102. DOI: 10.1111/Jedm.12134 |
0.782 |
|
| 2017 |
Wilson M. Measurement: Introducing an Introduction Measurement: Interdisciplinary Research & Perspective. 15: 1-1. DOI: 10.1080/15366367.2017.1348071 |
0.304 |
|
| 2017 |
Maul A, Mari L, Irribarra DT, Wilson M. The quality of measurement results in terms of the structural features of the measurement process Measurement. 116: 611-620. DOI: 10.1016/J.Measurement.2017.08.046 |
0.737 |
|
| 2017 |
Mari L, Maul A, Irribarra DT, Wilson M. Quantities, quantification, and the necessary and sufficient conditions for measurement Measurement. 100: 115-121. DOI: 10.1016/J.Measurement.2016.12.050 |
0.739 |
|
| 2017 |
Siddiq F, Gochyyev P, Wilson M. Learning in Digital Networks ICT literacy Computers in Education. 109: 11-37. DOI: 10.1016/J.Compedu.2017.01.014 |
0.787 |
|
| 2017 |
Morell L, Collier T, Black P, Wilson M. A construct-modeling approach to develop a learning progression of how students understand the structure of matter Journal of Research in Science Teaching. 54: 1024-1048. DOI: 10.1002/Tea.21397 |
0.791 |
|
| 2016 |
Choi IH, Wilson M. Incorporating Mobility in Growth Modeling for Multilevel and Longitudinal Item Response Data. Multivariate Behavioral Research. 51: 120-37. PMID 26881961 DOI: 10.1080/00273171.2015.1114911 |
0.349 |
|
| 2016 |
Wilson M, Scalise K, Gochyyev P. Assessment of Learning in Digital Interactive Social Networks: A Learning Analytics Approach Online Learning. 20. DOI: 10.24059/OLJ.V20I2.799 |
0.763 |
|
| 2016 |
Huang X, Wilson M, Wang L. Exploring plausible causes of differential item functioning in the PISA science assessment: language, curriculum or culture Educational Psychology. 36: 378-390. DOI: 10.1080/01443410.2014.946890 |
0.61 |
|
| 2016 |
Maul A, Torres Irribarra D, Wilson M. On the philosophical foundations of psychological measurement Measurement: Journal of the International Measurement Confederation. 79: 311-320. DOI: 10.1016/J.Measurement.2015.11.001 |
0.737 |
|
| 2015 |
Choi IH, Wilson M. Multidimensional Classification of Examinees Using the Mixture Random Weights Linear Logistic Test Model. Educational and Psychological Measurement. 75: 78-101. PMID 29795813 DOI: 10.1177/0013164414522124 |
0.351 |
|
| 2015 |
Yao SY, Wilson M, Henderson JB, Osborne J. Investigating the Function of Content and Argumentation Items in a Science Test: A Multidimensional Approach. Journal of Applied Measurement. 16: 171-92. PMID 26075666 |
0.355 |
|
| 2015 |
Santelices MV, Wilson M. The revised SAT score and its potential benefits for the admission of minority students to higher education | A pontuação sat corrigida e o seu benefício potencial para estudantes de grupos minoritários no ensino superior | El Puntaje corregido del SAT y sus potenciales beneficios para la admisión de estudiantes minoritarios a la educación superior Education Policy Analysis Archives. 23. DOI: 10.14507/Epaa.V23.2070 |
0.753 |
|
| 2015 |
Torres Irribarra D, Freund R, Fisher W, Wilson M. Metrological traceability in education: A practical online system for measuring and managing middle school mathematics instruction Journal of Physics: Conference Series. 588. DOI: 10.1088/1742-6596/588/1/012042 |
0.335 |
|
| 2015 |
Pellegrino JW, Wilson M. Assessment of Complex Cognition: Commentary on the Design and Validation of Assessments Theory Into Practice. 54: 263-273. DOI: 10.1080/00405841.2015.1044377 |
0.378 |
|
| 2015 |
Wilson M, Scalise K, Gochyyev P. Rethinking ICT literacy: From computer skills to social network settings Thinking Skills and Creativity. 18: 65-80. DOI: 10.1016/J.Tsc.2015.05.001 |
0.762 |
|
| 2014 |
Wilson M, Hallam PJ, Pecheone R, Moss PA. Evaluating the validity of portfolio assessments for licensure decisions Education Policy Analysis Archives. 22. DOI: 10.14507/Epaa.V22N6.2014 |
0.353 |
|
| 2014 |
Duckor B, Castellano KE, Téllez K, Wihardini D, Wilson M. Examining the Internal Structure Evidence for the Performance Assessment for California Teachers: A Validation Study of the Elementary Literacy Teaching Event for Tier I Teacher Licensure Journal of Teacher Education. 65: 402-420. DOI: 10.1177/0022487114542517 |
0.372 |
|
| 2014 |
Roczen N, Kaiser FG, Bogner FX, Wilson M. A Competence Model for Environmental Education Environment and Behavior. 46: 972-992. DOI: 10.1177/0013916513492416 |
0.355 |
|
| 2014 |
Mari L, Wilson M. An introduction to the Rasch measurement approach for metrologists Measurement. 51: 315-327. DOI: 10.1016/J.Measurement.2014.02.014 |
0.437 |
|
| 2013 |
Wilson M. Seeking a Balance between the Statistical and Scientific Elements in Psychometrics. Psychometrika. 78: 211-236. PMID 25107612 DOI: 10.1007/S11336-013-9327-3 |
0.335 |
|
| 2013 |
Wilson M. Using the concept of a measurement system to characterize measurement models used in psychometrics Measurement. 46: 3766-3774. DOI: 10.1016/J.Measurement.2013.04.005 |
0.406 |
|
| 2013 |
Lin Y, Wilson M, Cheng C. An investigation of the nature of the influences of item stem and option representation on student responses to a mathematics test European Journal of Psychology of Education. 28: 1141-1161. DOI: 10.1007/S10212-012-0159-9 |
0.426 |
|
| 2012 |
Adams RJ, Wu ML, Wilson M. The Rasch Rating Model and the Disordered Threshold Controversy Educational and Psychological Measurement. 72: 547-573. DOI: 10.1177/0013164411432166 |
0.32 |
|
| 2012 |
Santelices MV, Wilson M. On the Relationship Between Differential Item Functioning and Item Difficulty An Issue of Methods? Item Response Theory Approach to Differential Item Functioning Educational and Psychological Measurement. 72: 5-36. DOI: 10.1177/0013164411412943 |
0.777 |
|
| 2012 |
Paek I, Baek S, Wilson M. 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: 487-494. DOI: 10.1007/S12564-012-9210-4 |
0.375 |
|
| 2011 |
Scalise K, Wilson M. The nature of assessment systems to support effective use of evidence through technology E-Learning and Digital Media. 8: 121-132. DOI: 10.2304/Elea.2011.8.2.121 |
0.436 |
|
| 2011 |
Wilson M, Moore S. Building out a measurement model to incorporate complexities of testing in the language domain Language Testing. 28: 441-462. DOI: 10.1177/0265532210394142 |
0.443 |
|
| 2011 |
Boeck PD, Cho S, Wilson M. Explanatory Secondary Dimension Modeling of Latent Differential Item Functioning. Applied Psychological Measurement. 35: 583-603. DOI: 10.1177/0146621611428446 |
0.365 |
|
| 2011 |
Paek I, Wilson M. 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: 1023-1046. DOI: 10.1177/0013164411400734 |
0.315 |
|
| 2011 |
Black P, Wilson M, Yao S. Road Maps for Learning: A Guide to the Navigation of Learning Progressions Measurement: Interdisciplinary Research & Perspective. 9: 71-123. DOI: 10.1080/15366367.2011.591654 |
0.42 |
|
| 2011 |
Wilmot DB, Schoenfeld A, Wilson M, Champney D, Zahner W. Validating a Learning Progression in Mathematical Functions for College Readiness Mathematical Thinking and Learning. 13: 259-291. DOI: 10.1080/10986065.2011.608344 |
0.434 |
|
| 2011 |
Brown NJS, Wilson M. A Model of Cognition: The Missing Cornerstone of Assessment. Educational Psychology Review. 23: 221-234. DOI: 10.1007/S10648-011-9161-Z |
0.424 |
|
| 2010 |
Rocca CH, Krishnan S, Barrett G, Wilson M. Measuring pregnancy planning: An assessment of the London Measure of Unplanned Pregnancy among urban, south Indian women. Demographic Research. 23: 293-334. PMID 21170147 DOI: 10.4054/Demres.2010.23.11 |
0.369 |
|
| 2010 |
Liu OL, Wilson M. Sources of self-efficacy belief: development and validation of two scales. Journal of Applied Measurement. 11: 24-37. PMID 20351446 |
0.708 |
|
| 2010 |
Ewert T, Allen DD, Wilson M, Üstün B, Stucki G. Validation of the international classification of functioning disability and health framework using multidimensional item response modeling Disability and Rehabilitation. 32: 1397-1405. PMID 20158371 DOI: 10.3109/09638281003611037 |
0.358 |
|
| 2010 |
Santelices MV, Wilson M. Responding to Claims of Misrepresentation Harvard Educational Review. 80: 413-417. DOI: 10.17763/Haer.80.3.P35268145347Xp56 |
0.72 |
|
| 2010 |
Santelices MV, Wilson M. Unfair Treatment? The Case of Freedle, the SAT, and the Standardization Approach to Differential Item Functioning Harvard Educational Review. 80: 106-134. DOI: 10.17763/Haer.80.1.J94675W001329270 |
0.762 |
|
| 2010 |
Scalise K, Madhyastha T, Minstrell J, Wilson M. Improving assessment evidence in e-learning products: some solutions for reliability International Journal of Learning Technology. 5: 191-208. DOI: 10.1504/Ijlt.2010.034549 |
0.423 |
|
| 2010 |
Brown NJS, Nagashima SO, Fu A, Timms MJ, Wilson M. A Framework for Analyzing Scientific Reasoning in Assessments Educational Assessment. 15: 142-174. DOI: 10.1080/10627197.2010.530562 |
0.813 |
|
| 2010 |
Brown NJS, Furtak EM, Timms M, Nagashima SO, Wilson M. The Evidence-Based Reasoning Framework: Assessing Scientific Reasoning. Educational Assessment. 15: 123-141. DOI: 10.1080/10627197.2010.530551 |
0.799 |
|
| 2010 |
Karelitz TM, Parrish DM, Yamada H, Wilson M. Articulating Assessments Across Childhood: The Cross-Age Validity of the Desired Results Developmental Profile–Revised Educational Assessment. 15: 1-26. DOI: 10.1080/10627191003673208 |
0.306 |
|
| 2009 |
Duckor B, Draney K, Wilson M. Measuring measuring: toward a theory of proficiency with the constructing measures framework. Journal of Applied Measurement. 10: 296-319. PMID 19671991 |
0.748 |
|
| 2009 |
Wilson M. Assessment from the Ground up. Phi Delta Kappan. 91: 68-71. DOI: 10.1177/003172170909100113 |
0.434 |
|
| 2009 |
Liu OL, Wilson M. Gender Differences and Similarities in PISA 2003 Mathematics: A Comparison between the United States and Hong Kong International Journal of Testing. 9: 20-40. DOI: 10.1080/15305050902733547 |
0.363 |
|
| 2009 |
Liu OL, Wilson M. Gender Differences in Large-Scale Math Assessments: PISA Trend 2000 and 2003 Applied Measurement in Education. 22: 164-184. DOI: 10.1080/08957340902754635 |
0.398 |
|
| 2009 |
Wilson M. Measuring Progressions: Assessment Structures Underlying a Learning Progression Journal of Research in Science Teaching. 46: 716-730. DOI: 10.1002/Tea.20318 |
0.401 |
|
| 2008 |
Liu OL, Wilson M, Paek I. A multidimensional Rasch analysis of gender differences in PISA mathematics. Journal of Applied Measurement. 9: 18-35. PMID 18180547 |
0.664 |
|
| 2008 |
Wilson M. Cognitive diagnosis using item response models Zeitschrift Fur Psychologie-Journal of Psychology. 216: 74-88. DOI: 10.1027/0044-3409.216.2.74 |
0.444 |
|
| 2008 |
Paek I, Lee J, Stankov L, Wilson M. A STUDY OF CONFIDENCE AND ACCURACY USING THE RASCH MODELING PROCEDURES Ets Research Report Series. 2008: i-25. DOI: 10.1002/J.2333-8504.2008.Tb02128.X |
0.37 |
|
| 2007 |
Briggs DC, Wilson M. Generalizability in Item Response Modeling Journal of Educational Measurement. 44: 131-155. DOI: 10.1111/J.1745-3984.2007.00031.X |
0.413 |
|
| 2007 |
Scalise K, Bernbaum DJ, Timms M, Harrell SV, Burmester K, Kennedy CA, Wilson M. Adaptive technology for E-learning: Principles and case studies of an emerging field Journal of the American Society For Information Science and Technology. 58: 2295-2309. DOI: 10.1002/Asi.V58:14 |
0.676 |
|
| 2006 |
Mâsse LC, Wilson M, Baranowski T, Nebeling L. Improving psychometric methods in health education and health behavior research. Health Education Research. 21: i1-3. PMID 17122186 DOI: 10.1093/Her/Cyl147 |
0.313 |
|
| 2006 |
Baranowski T, Allen DD, Mâsse LC, Wilson M. Does participation in an intervention affect responses on self-report questionnaires? Health Education Research. 21: i98-109. PMID 17060350 DOI: 10.1093/Her/Cyl087 |
0.333 |
|
| 2006 |
Allen DD, Wilson M. Introducing multidimensional item response modeling in health behavior and health education research Health Education Research. 21. PMID 17018769 DOI: 10.1093/Her/Cyl086 |
0.367 |
|
| 2006 |
Wilson M, Allen DD, Li JC. Improving measurement in health education and health behavior research using item response modeling: Introducing item response modeling Health Education Research. 21. PMID 17018765 DOI: 10.1093/Her/Cyl108 |
0.418 |
|
| 2006 |
Mâsse LC, Allen D, Wilson M, Williams G. Introducing equating methodologies to compare test scores from two different self-regulation scales. Health Education Research. 21: i110-120. PMID 16926231 DOI: 10.1093/Her/Cyl088 |
0.421 |
|
| 2006 |
Wilson M, Allen DD, Li JC. Improving measurement in health education and health behavior research using item response modeling: Comparison with the classical test theory approach Health Education Research. 21. PMID 16880221 DOI: 10.1093/Her/Cyl053 |
0.425 |
|
| 2006 |
Briggs DC, Alonzo AC, Schwab C, Wilson M. Diagnostic Assessment with Ordered Multiple-Choice Items Educational Assessment. 11: 33-63. DOI: 10.1207/S15326977Ea1101_2 |
0.804 |
|
| 2006 |
Wang W, Wilson M, Shih C. Modeling Randomness in Judging Rating Scales with a Random‐Effects Rating Scale Model Journal of Educational Measurement. 43: 335-353. DOI: 10.1111/J.1745-3984.2006.00020.X |
0.357 |
|
| 2006 |
Wilson M, Scalise K. Assessment to improve learning in higher education: The BEAR Assessment System Higher Education. 52: 635-663. DOI: 10.1007/S10734-004-7263-Y |
0.417 |
|
| 2005 |
De Boeck P, Wilson M, Acton GS. A conceptual and psychometric framework for distinguishing categories and dimensions Psychological Review. 112: 129-158. PMID 15631591 DOI: 10.1037/0033-295X.112.1.129 |
0.341 |
|
| 2005 |
Wang W, Wilson M. The Rasch Testlet Model Applied Psychological Measurement. 29: 126-149. DOI: 10.1177/0146621604271053 |
0.333 |
|
| 2005 |
Wang W, Wilson M. Assessment of Differential Item Functioning in Testlet-Based Items Using the Rasch Testlet Model: Educational and Psychological Measurement. 65: 549-576. DOI: 10.1177/0013164404268677 |
0.364 |
|
| 2005 |
Wang W, Cheng Y, Wilson M. Local Item Dependence for Items Across Tests Connected by Common Stimuli. Educational and Psychological Measurement. 65: 5-27. DOI: 10.1177/0013164404268676 |
0.376 |
|
| 2005 |
Wilson M, Draney K. Some Links Between Large-Scale and Classroom Assessments: The Case of the BEAR Assessment System Yearbook of the National Society For the Study of Education. 103: 132-154. DOI: 10.1111/J.1744-7984.2004.Tb00051.X |
0.351 |
|
| 2004 |
Dawson TL, Wilson M. The LAAS: A Computerized Scoring System for Small- and Large-Scale Developmental Assessments. Educational Assessment. 9: 153-191. DOI: 10.1080/10627197.2004.9652963 |
0.368 |
|
| 2004 |
Kaiser FG, Wilson M. Goal-directed conservation behavior: the specific composition of a general performance Personality and Individual Differences. 36: 1531-1544. DOI: 10.1016/J.Paid.2003.06.003 |
0.311 |
|
| 2003 |
Dawson TL, Xie Y, Wilson M. Domain-general and domain-specific developmental assessments: do they measure the same thing? Cognitive Development. 18: 61-78. DOI: 10.1016/S0885-2014(02)00162-4 |
0.796 |
|
| 2001 |
Wilson M, Hoskens M. The rater bundle model Journal of Educational and Behavioral Statistics. 26: 283-306. DOI: 10.3102/10769986026003283 |
0.379 |
|
| 2001 |
Hoskens M, Wilson M. Real-time feedback on rater drift in constructed-response items: An example from the golden state examination Journal of Educational Measurement. 38: 121-145. DOI: 10.1111/J.1745-3984.2001.Tb01119.X |
0.346 |
|
| 2000 |
Wilson M, Sloane K. From Principles to Practice: An Embedded Assessment System Applied Measurement in Education. 13: 181-208. DOI: 10.1207/S15324818Ame1302_4 |
0.399 |
|
| 2000 |
Kaiser FG, Wilson M. Assessing people's general ecological behavior: A cross-cultural measure Journal of Applied Social Psychology. 30: 952-978. DOI: 10.1111/J.1559-1816.2000.Tb02505.X |
0.382 |
|
| 1998 |
Gumpel T, Wilson M, Shalev R. An Item Response Theory Analysis of the Conners Teacher's Rating Scale Journal of Learning Disabilities. 31: 525-532. PMID 9813950 DOI: 10.1177/002221949803100602 |
0.325 |
|
| 1998 |
Pirolli P, Wilson M. A Theory of the Measurement of Knowledge Content, Access, and Learning Psychological Review. 105: 58-82. DOI: 10.1037/0033-295X.105.1.58 |
0.366 |
|
| 1997 |
Adams RJ, Wilson M, Wu M. Multilevel item response models: An approach to errors in variables regression Journal of Educational and Behavioral Statistics. 22: 47-76. DOI: 10.3102/10769986022001047 |
0.395 |
|
| 1997 |
Adams RJ, Wilson M, Wang W. The Multidimensional Random Coefficients Multinomial Logit Model Applied Psychological Measurement. 21: 1-23. DOI: 10.1177/0146621697211001 |
0.327 |
|
| 1996 |
Gumpel T, Wilson M. Application of a Rasch analysis to the examination of the perception of facial affect among persons with mental retardation Research in Developmental Disabilities. 17: 161-171. PMID 8778937 DOI: 10.1016/0891-4222(95)00041-0 |
0.326 |
|
| 1996 |
Mislevy RJ, Wilson M. Marginal Maximum Likelihood Estimation For A Psychometric Model Of Discontinuous Development Psychometrika. 61: 41-71. DOI: 10.1002/J.2333-8504.1992.Tb01505.X |
0.388 |
|
| 1995 |
Wilson M, Wang W. Complex Composites: Issues That Arise in Combining Different Modes of Assessment Applied Psychological Measurement. 19: 51-71. DOI: 10.1177/014662169501900107 |
0.346 |
|
| 1995 |
Wilson M, Adams RJ. Rasch models for item bundles Psychometrika. 60: 181-198. DOI: 10.1007/Bf02301412 |
0.384 |
|
| 1993 |
Wilson M, Adams RJ. Marginal Maximum Likelihood Estimation for the Ordered Partition Model. Journal of Educational and Behavioral Statistics. 18: 69-90. DOI: 10.3102/10769986018001069 |
0.328 |
|
| 1993 |
Wilson M, Masters GN. The partial credit model and null categories Psychometrika. 58: 87-99. DOI: 10.1007/Bf02294473 |
0.392 |
|
| 1993 |
Thomas JW, Bol L, Warkentin RW, Wilson M, Strage A, Rohwer WD. 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. DOI: 10.1002/Acp.2350070605 |
0.326 |
|
| 1992 |
Wilson M. Educational Leverage From a Political Necessity: Implications of New Perspectives on Student Assessment for Chapter 1 Evaluation Educational Evaluation and Policy Analysis. 14: 123-144. DOI: 10.3102/01623737014002123 |
0.395 |
|
| 1992 |
Wilson M. The Ordered artition Model: An Extension of the Partial Credit Model Applied Psychological Measurement. 16: 309-325. DOI: 10.1177/014662169201600401 |
0.367 |
|
| 1990 |
Wilson M. Measuring a van Hiele Geometry Sequence: A Reanalysis. Journal For Research in Mathematics Education. 21: 230. DOI: 10.2307/749376 |
0.378 |
|
| 1989 |
Wilson M. A Comparison of Deterministic and Probabilistic Approaches to Measuring Learning Structures. Australian Journal of Education. 33: 127-140. DOI: 10.1177/168781408903300203 |
0.412 |
|
| 1989 |
Wilson M. Empirical examination of a learning hierarchy using an item response theory model Journal of Experimental Education. 57: 357-371. DOI: 10.1080/00220973.1989.10806516 |
0.434 |
|
| 1988 |
Wilson M, Iventosch L. Using the Partial Credit Model to Investigate Responses to Structured Subtests Applied Measurement in Education. 1: 319-334. DOI: 10.1207/S15324818Ame0104_4 |
0.461 |
|
| 1988 |
Wilson M. Detecting and Interpreting Local Item Dependence Using a Fannily of Rasch Models Applied Psychological Measurement. 12: 353-364. DOI: 10.1177/014662168801200403 |
0.363 |
|
| 1988 |
Wilson M. Internal Construct Validity and Reliability of a Quality of School Life Instrument Across Nationality and School Level Educational and Psychological Measurement. 48: 995-1009. DOI: 10.1177/0013164488484015 |
0.329 |
|
| Show low-probability matches. |