All of my academic/professional information can be found on my CV

Theses and Degree Reports/Projects

Nydick, S. W. (2013) Multidimensional Classification Testing with CAT. Dissertation in Psychology University of Minnesota. [Paper]

Nydick, S. W. (2012) Accuracy and efficiency in classifying examinees using computerized adaptive tests. Master’s thesis in Psychology, University of Minnesota.

Nydick, S. W. (2011) Clustering Minnesota physician clinics: The influence of data collection on statistical conclusions. Master’s report in Statistics, University of Minnesota. [Paper]

Published Manuscripts

Zheng, Y., Nydick, S. W., Huang, S., & Zhang, S. (2024) MxML (exploring the relationship between measurement and machine learning: Current state of the field). Educational Measurement: Issues and Practice, 43, 19-38, [Paper]

Nydick, S. W. (2023). Detecting careless cases in practice tests, Chinese/English Journal of Educational Measurement and Evaluation, 4. 1-18, [Paper]

Cardwell, R., Nydick, S. W., & Lockwood, J. R. (2023). Practical considerations when building concordances between English tests. Language Testing. 41, 192-202, [Paper]

Wang, C., & Nydick, S. W. (2019). On longitudinal item response theory models: A didactic. Journal of Educational and Behavioral Statistics, 45, 339-368. [Paper]

Wang, C., & Nydick, S. W. (2015). Comparing two algorithms for calibrating the restricted non-compensatory multidimensional IRT model. Applied Psychological Measurement, 39, 119-134. [Paper]

Nydick, S. W. (2014). The sequential probability ratio test and binary item response models. Journal of Educational and Behavioral Statistics, 39, 203-230. [Paper]

Conference Presentations

Nydick, S. W., Cardwell, R. L., & Burstein, J. (2024, April). Examining test preparation, test-taker attitudes, and high-stakes outcomes. Paper presented at the annual meeting of the National Council on Measurement in Education, Philadelphia, PA.

Zheng, Y., Huang, S., Nydick, S. W., & Zhang, S. (2024, April). MxML Phase 2: Survey of the measurement community. Paper presented at the annual meeting of the National Council on Measurement in Education, Philadelphia, PA.

Lockwood, J. R., & Nydick, S. W. (2023, July). Scalable explanatory IRT modeling with sparse data structures. Paper presented at the International Meeting of the Psychometric Society, College Park, MD.

Cardwell, R. L., & Nydick, S. W. (2023, April). Considering inter-test relationships in high-stakes admissions testing: The case of English. Paper presented at the international conference of the Association of Language Testers in Europe, Madrid, Spain.

Cardwell, R. L., Nydick, S. W., & Lockwood, J. R. (2023, April). Sampling considerations for building concordance tables. Paper presented at the annual meeting of the National Council on Measurement in Education, Chicago, IL.

Zheng, Y., Nydick, S. W., Zhang, S., & Huang, S. (2023, April). MxML: Exploring the relationship between measurement and machine learning in recent years. Paper presented at the annual meeting of the National Council on Measurement in Education, Chicago, IL.

Cardwell, R. L., Nydick, S. W., & Lockwood, J. R. (2023, March). Reporting bias in correlations between DET and other English proficiency assessments. Roundtable at the annual meeting of the American Association for Applied Linguistics, Portland, OR.

Nydick, S. W., Lodge, F., & Wang, Y. (2022, April). Interactive dashboards with R and shiny. Master tutorial at the annual meeting of the Society of Industrial and Organizational Psychologists, Seattle, WA. [Materials]

Nydick, S. W., Wiseman, B., & Wisner, T. (2022, April). Natural language processing with R and Python. Master tutorial at the annual meeting of the Society of Industrial and Organizational Psychologists, Seattle, WA. [Materials]

Jones, J. A., Nydick, S. W., & Wiseman, B. (2021, April). Text analytics and NLP with R. Master tutorial at the annual meeting of the Society of Industrial and Organizational Psychologists, New Orleans, LA (Virtual). [Materials]

Jones, J. A., Nydick, S. W., & Wiseman, B. (2021, April). Big data systems with R. Master tutorial at the annual meeting of the Society of Industrial and Organizational Psychologists, New Orleans, LA (Virtual). [Materials]

Jones, J. A., Nydick, S. W., & Wiseman, B. (2019, April). Effective data wrangling and visualization with R. Master tutorial at the annual meeting of the Society of Industrial and Organizational Psychologists, National Harbor, MD. [Materials]

Jones, J. A., Nydick, S. W., & Wiseman, B. (2019, April). Web Scraping with R. Master tutorial at the annual meeting of the Society of Industrial and Organizational Psychologists, National Harbor, MD. [Materials]

Nydick, S. W. (2016, April). The expected likelihood ratio in computerized classification testing. Paper presented at the annual meeting of the National Council on measurement in Education, Washington, DC. [Paper] [Presentation] [Appendices]

Nydick, S. W. (2014, April). Multidimensional mastery testing with CAT. Paper presented at the annual meeting of the National Council on Measurement Education, Philadelphia, PA. [Paper] [Presentation]

Nydick, S. W., Wang, C., & Xiong, X. (2014, April). Measuring multidimensional growth–a higher-order IRT perspective. Paper presented at the annual meeting of the American Educational Research Association, Philadelphia, PA. [Paper] [Presentation]

Nydick, S. W., Nozawa, Y., & Zhu, R. (2012, April). Accuracy and efficiency in classiying examinees using computerized adaptive tests: An application to a large scale test. Paper presented at the annual meeting of the National Council on Measurement in Education, Vancouver, BC. [Paper]

Nydick, S. W., & Weiss, D. J. (2010, June). Accepting the null: No change in change CAT. Paper presented at the IACAT conference on CAT, Arnhem, NL.

Nydick, S. W., & Weiss, D. J. (2009). A hybrid simulation procedure, evaluated for the development of CATs. In D. J. Weiss (Ed.) Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing. [Paper]

Software

Nydick, S. W. (2021). mupp: An R package for Simulating Responses and Estimating Parameters to the Multi-Unidimensional Pairwise Preference (MUPP) Model (R Package Version 0.1.0). Available from Github

Nydick, S. W. (2013). catIrt: An R package for Simulating Computerized Adaptive Tests (R Package Version 0.5-0). Available from CRAN and Github.