Go to main content Go to main menu
Left Menu

Professor DE LA TORRE, Jimmy

Personal Particulars

Professor DE LA TORRE, Jimmy

吳嘉揚

Ph.D., University of Illinois at Urbana-Champaign

Professor

Division of Learning, Development and Diversity

Tel: (852) 3917 0362

Location: Room 520, Meng Wah Complex

Areas of Expertise:

Latent Variable Modeling, Item Response Theory, Cognitive Diagnosis Models, Use of Assessment to Improve Classroom Instruction and Learning

Awards
  • Bradley Hanson Award for Contributions to Education Measurement (National Council on Measurement in Education)    2017
  • Chair Professor (National Taichung University of Education, Taiwan)    August 2014 – July 2018
  • Honorary Professor (Universidad Autonoma de Madrid, Spain)    2012 – present 
  • Jason Millman Promising Measurement Scholar Award (National Council on Measurement in Education)     2009 
  • Presidential Early Career Award for Scientists and Engineers (White House)     2009           
  • National Science Foundation Faculty Early Career Development Award     2008
  • National Academy of Education/Spencer Postdoctoral Fellowship          2006
Projects
  1. University of Hong Kong Research Services. Adaptation, Calibration, and Invariance Evaluation of a Proportional Reasoning Assessment. (Principal Investigator), April, 2017 – September, 2018.
  2. Hong Kong Research Grants Council. Learning and Assessment for Digital Citizenship. (Co-Principal Investigator), November, 2016 – October, 2021.
  3. National Science Foundation. Validating Proof Comprehension Tests in Mathematics. (Co-Principal Investigator), September, 2013 – August, 2015.
  4. National Institute on Alcohol Abuse and Alcoholism. Innovative Analyses of Alcohol Intervention Trials for College Students. (Co-Principal Investigator), August 2010 – July 2013.
  5. National Science Foundation. Emerging Research-Empirical--Proving Styles in University Mathematics. (Co-Principal Investigator), August 2010 – July 2013.
  6. U.S. Department of Education. Graduate Assistance in Areas of National Need Fellowship Program - Graduate Fellowships in Educational Assessment, Evaluation and Research. (Principal Investigator), July 2010 – June 2015.
  7. National Science Foundation. CAREER: A Comprehensive Modeling Approach to Cognitively Diagnostic Assessment: Methodological Developments and Practical Implementations. (Principal Investigator), July 2008 – August 2015.
  8. National Academy of Education/Spencer Postdoctoral Fellowship. Designing Assessment to Support Learning: A New Approach to Test Construction and Analysis (Principal Investigator), July 2006 – July 2008.
  9. Institute of Education Sciences. Skill Profile Comparisons at the State Level: An Application and Extension of Cognitive Diagnosis Modeling in NAEP. (Principal Investigator), June 2005 – December 2006.
Publications
  1. Mejía-Ramos, J. P., Lew, K., de la Torre, J., & Weber, K. (in press). Developing and validating proof comprehension tests in undergraduate mathematics. Research in Mathematics Education.
  2. Sorrel, M. A., Abad, F. J., Olea, J., de la Torre, J., & Barrada, J. R. (in press). Inferential item fit evaluation in cognitive diagnosis modeling. Applied Psychological Measurement.
  3. Sorrel, M. A., de la Torre, J., Abad, F. J., & Olea, J. (in press). Two-step likelihood ratio test for model comparison in cognitive diagnosis models. Methodology.
  4. Minchen, N., de la Torre, J., & Liu, Y. (2017).  A cognitive diagnosis model for continuous response. Journal of Educational and Behavioral Statistics. DOI: 10.3102/1076998617703060
  5. de la Torre, J., Carmona, G., Kieftenbeld, V., Tjoe, H., & Lima, C. (2016). Diagnostic classification models and mathematics education research: Opportunities and Challenges. In A. Izsák, J. T. Remillard, & J. Templin (Eds.), Psychometric methods in mathematics education: Opportunities, challenges, and interdisciplinary collaborations (pp. 53–72). Reston, VA: National Council of Teachers of Mathematics.
  6. Tatsuoka, C., Clements, D. H., Sarama, J., Izsák, A., Orrill, C. H., de la Torre, J., Tatsuoka, K., & Khasanova, E. (2016). Developing workable attributes for psychometric models based on the Q-matrix. In A. Izsák, J. T. Remillard, & J. Templin (Eds.), Psychometric methods in mathematics education: Opportunities, challenges, and interdisciplinary collaborations (pp. 73–96). Reston, VA: National Council of Teachers of Mathematics. 
  7. de la Torre, J., & Chiu, C.-Y. (2016). A general method of empirical Q-matrix validation. Psychometrika, 81, 253-273.
  8. de la Torre, J., & Chiu, C.-Y. (2016). On the consistency of Q-matrix estimation: A rejoinder. Psychometrika. doi: 10.1007/s11336-016-9508-y
  9. Kuo, B.-C., Pai, H.-S., & de la Torre, J. (2016). Modified cognitive diagnostic index and modified attribute-level discrimination index for test construction. Applied Psychological Measurement. doi: 10.1177/014662161663864.
  10. Ma, W., & de la Torre, J. (2016) A sequential cognitive diagnosis model for polytomous responses. British Journal of Statistical and Mathematical Psychology, 69, 253-275. 
  11. Hontangas, P. M., V., Leenen, de la Torre, J., Ponsoda, I., Morillo, D., & Abad, F. J. (2016). Traditional scores versus IRT estimates on forced-choice tests based on a dominance model. Psicothema, 28, 76-82.
  12. Ma, W., Iaconangelo, C., de la Torre, J. (2016). Model similarity, model selection, and attribute classification. Applied Psychological Measurement, 40, 200-217.
  13. Morillo, D., Leenen, I., Abad, F. J., Hontangas, P., de la Torre, J., & Ponsoda, V. (2016). A dominance variant under the multi-unidimensional pairwise-preference framework: Model formulation and Markov chain Monte Carlo estimation. Applied Psychological Measurement, 40, 500-516. 
  14. Sorrel, M. A., Olea, J., Abad, F. J., de la Torre, J., Aguado, D., & Lievens, F. (2016). Validity and reliability of situational judgement test scores: A new approach based on cognitive diagnosis models. Organizational Research Methods, 19, 506-532.
  15. de la Torre, J., van der Ark, L. A., & Rossi, G. (2015). Analysis of clinical data from a cognitive diagnosis modeling framework. Measurement and Evaluation in Counseling and Development. doi:10.1177/0748175615569110
  16. Hontangas, P. M., de la Torre, J., Ponsoda, V., Leenen, I., Morillo, D., & Abad, F. J. (2015). Comparing traditional and IRT scoring of forced-choice tests. Applied Psychological Measurement, 39, 598-612.
  17. Huo, Y., de la Torre, J., Mun, E. Y., Kim, S-Y., Ray, A. E., Jiao Y., & White H. R.  (2015). A hierarchical multi-unidimensional IRT approach for analyzing sparse, multi-group data for integrative data analysis. Psychometrika, 80, 834-855.
  18. Kaplan, M., de la Torre, J., & Barrada, J. R. (2015). New item selection methods for cognitive diagnosis computerized adaptive testing. Applied Psychological Measurement, 39, 167-188.
  19. Mun, E.-Y., de la Torre, J., Atkins, D. C., White, H. R., Ray, A. E., Kim, S.-Y., Jiao, Y., Clarke, N., Huo, Y., Larimer, M. E., Huh, D., & The Project INTEGRATE Team (2015). Project INTEGRATE: An integrative study of brief alcohol interventions for college students. Psychology of Addictive Behaviors, 29, 34-48.
  20. Chen, J., & de la Torre, J. (2014). A procedure for diagnostically modeling extant large-scale assessment data: The case of PISA reading assessment. Psychology, 5, 1967-1978.
  21. de la Torre, J., & Minchen, N. (2014). Cognitively diagnostic assessments and the cognitive diagnosis model framework. Psicología Educativa, 20, 89-97.
  22. Garcia, P., Olea, J., & de la Torre, J. (2014). Application of cognitive diagnosis models to competency-based situational judgment tests. Psichothema, 26, 372-377.
  23. Hou, L., de la Torre, J., & Nandakumar, R. (2014). Differential Item Functioning Assessment in Cognitive Diagnosis Modeling: Application of the Wald Test to Investigate DIF in the DINA model. Journal of Educational Measurement, 51, 98-125.
  24. Huo, Y., & de la Torre, J. (2014). An EM algorithm for the multiple-strategy DINA model. Applied Psychological Measurement, 38, 464-485.
  25. Tjoe, H., & de la Torre, J. (2014). On recognizing proportionality: Does the ability to solve missing value proportional problems presuppose the conception of proportional reasoning? Journal of Mathematical Behavior, 33, 1-7.
  26. Chen, J., & de la Torre, J. (2013). A general cognitive diagnosis model for expert-defined polytomous attributes. Applied Psychological Measurement, 37, 419-437.
  27. Chen, J., de la Torre, J., & Zhang, Z. (2013). Relative and absolute fit evaluation in cognitive diagnosis modeling. Journal of Educational Measurement, 50, 123-140.
  28. de la Torre, J., & Lee, Y.-S. (2013). Evaluating the Wald test for item-level comparison of saturated and reduced models in cognitive diagnosis. Journal of Educational Measurement, 50, 355–373.
  29. de la Torre, J., Tjoe, H., Rhoads, K., & Lam, D. (2013). Conceptual and theoretical issues in proportional reasoning. International Journal for Studies in Mathematics Education, 6, 21-38.
  30. Sun, J., Xin, T., Zhang, S., & de la Torre, J. (2013). A polytomous extension of the generalized distance discriminating method. Applied Psychological Measurement, 37, 503-521.
  31. Tjoe, H., & de la Torre, J. (2013a). Designing cognitively-based proportional reasoning problems as an application of modern psychological measurement models.  Journal of Mathematics Education, 16, 17-23.
  32. Tjoe, H., & de la Torre, J. (2013b). The identification and validation process of proportional reasoning attributes: An application of a cognitive diagnosis modeling framework. Mathematics Education Research Journal, 26, 237-255.
  33. Lee, Y.-S., de la Torre, J., & Park, Y. S. (2012). Cognitive diagnosticity of IRT-constructed assessment: An empirical investigation. Asia Pacific Education Review, 13, 333-345.
  34. de la Torre, J. (2011). The generalized DINA model framework. Psychometrika, 76, 179-199.
  35. de la Torre, J., Song, H., & Hong, Y. (2011). A comparison of four methods of IRT subscoring. Applied Psychological Measurement, 35, 296-316.
  36. Camilli, G., de la Torre, J., & Chiu, C-Y. (2010). A non-central t regression model for meta-analysis. Journal of Educational and Behavioral Statistics, 35, 125-153.
  37. de la Torre, J., & Hong, Y. (2010). Parameter estimation with small sample size: A higher-order IRT model approach. Applied Psychological Measurement, 34, 267-285.
  38. de la Torre, J., Hong, Y., & Deng, W. (2010). Factors affecting the item parameter estimation and classification accuracy of the DINA model. Journal of Educational Measurement, 47, 227-249.
  39. de la Torre, J. & Lee, Y. S. (2010). A note on the invariance of the DINA model parameters. Journal of Educational Measurement, 47, 115-127.
  40. de la Torre, J. (2009). A cognitive diagnosis model for cognitively-based multiple-choice options. Applied Psychological Measurement, 33, 163-183.
  41. de la Torre, J. (2009). DINA model and parameter estimation: A didactic. Journal of Educational and Behavioral Statistics, 34,115-130.
  42. de la Torre, J. (2009). Improving the quality of ability estimates through multidimensional scoring and incorporation of ancillary variables. Applied Psychological Measurement, 33, 465-485.
  43. de la Torre, J. & Karelitz, T. (2009). Impact of diagnosticity on the adequacy of models for cognitive diagnosis under a linear attribute structure. Journal of Educational Measurement, 46, 450-469.
  44. de la Torre, J., & Song, H. (2009). Simultaneous estimation of overall and domain abilities: A higher-order IRT model approach. Applied Psychological Measurement, 33, 620-639.
  45. Camilli, G., Prowker, A., Dossey, J. A., Lindquist, M. M., Chiu, T. W., Vargas, S., & de la Torre, J. (2008). Summarizing Item Difficulty Variation with Parcel Scores.  Journal of Educational Measurement, 45, 363-390.
  46. de la Torre, J. (2008). An empirically-based method of Q-matrix validation for the DINA model: Development and applications. Journal of Educational Measurement, 45, 343-362.
  47. de la Torre, J. (2008). Multidimensional scoring of abilities: The ordered polytomous response case. Applied Psychological Measurement, 32, 355-370.
  48. de la Torre, J., & Deng, W. (2008). Improving person fit assessment by correcting the ability estimate and its reference distribution. Journal of Educational Measurement, 45, 159-177.
  49. de la Torre, J., & Douglas, J. (2008). Model evaluation and multiple strategies in cognitive diagnosis: An analysis of fraction subtraction data. Psychometrika, 73, 595-624.
  50. de la Torre, J., Camilli, G., Vargas, S., & Vernon, R. F. (2007). Illustration of a multilevel model for meta-analysis. Measurement and Evaluation in Counseling and Development, 40, 169-180.
  51. de la Torre, J., Stark, S., & Chernyshenko, O. (2006). Markov chain Monte Carlo estimation of item parameters for the generalized graded unfolding model. Applied Psychological Measurement, 30, 216-232.
  52. de la Torre, J., & Patz, R. J.  (2005). Making the most of what we have: A practical application of MCMC in test scoring. Journal of Educational and Behavioral Statistics, 30, 295-311.
  53. de la Torre, J., & Douglas, J. (2004). Higher-order latent trait models for cognitive diagnosis. Psychometrika, 69, 333-353. 
Professional Community Services
  • Editor-in-Chief, Journal of Educational Measurement    2014 – 2016
  • Associate Editor, Applied Psychological Measurement    2012 – present
  • Educational Psychology: International Journal of Experimental Educational Psychology – Consulting Editor     April 2016 – March 2018
  • Member, Psychometric Society Board of Trustees    July 2015  July 2018
TOP
HKU HomeHKU PortalFISFaculty PortalContact UsPrivacy Policy