Main
W. Jake Thompson, PhD
Psychometrician & R Developer
Education
20182014
Ph.D., Educational Psychology
University of Kansas Lawrence, KS- Dissertation: “Evaluating Model Estimation Processes for Diagnostic Classification Models”
- Advisor: Neal Kingston, Ph.D.
- Emphasis: Research, Evaluation, Measurement, and Statistics
20142010
B.S., Behavioral Neuroscience
University of Kansas Lawrence, KS- Honors Thesis: “Dissociating Cognitive and Affective Empathy in Unipolar Depression”
- Advisor: Evangelia G. Chrysikou, Ph.D.
- Minor: Social and Behavioral Sciences Methodology
- Highest Distinction, with University and Departmental Honors
Employment
presentAugust 2014
Accessible Teaching, Learning, and Assessment Systems (ATLAS), University of Kansas
Assistant Director of Psychometrics Lawrence, KS- Work across contract and grant-funded projects to promote learning, evaluate student achievement, and develop tools to improve research practice
- Lead a team of 3–4 reports to execute operational scoring and reporting and for the Dynamic Learning Maps Alternate Assessment
- Develop and lead the implementation of a psychometric research program focused on diagnostic classification modeling, including presentation of findings to a variety of audiences
- Develop internal and external software, such as the R package measr
Position History
- Assistant Director of Psychometrics (April 2022–present)
- Senior Psychometrician (April 2019–April 2022)
- Psychometrician (April 2018–April 2019)
- Assistant Psychometrician (January 2016–April 2018)
- Graduate Research Assistant (August 2014–January 2016)
presentJanuary 2015
Jake Thompson Consulting
Statistical Consultant Kansas City, KS- Provide statistical and methodological consultations
- Selected projects include: analyzing data for research labs at the University of Kansas Medical Center; providing recommendations for the implementation of evidence centered design to the National Council of State Boards of Nursing; estimating growth projections for JNA Advertising.
Publications
2025
Learning maps as cognitive models for instruction and assessment
Swinburne, R. R., Schuster, J., Karvonen, M., Thompson, W. J., Erickson, K., Simmering, V., & Bechard, S. (2025). Learning maps as cognitive models for instruction and assessment. Education Sciences, 15(3), Article 365. https://doi.org/10.3390/educsci15030365Artificial intelligence in science and mathematics assessment for students with disabilities: Opportunities and challenges
Clark, A. K., Hirt, A., Whitcomb, D., Thompson, W. J., Wine, M., & Karvonen, M. (2025). Artificial intelligence in science and mathematics assessment for students with disabilities: Opportunities and challenges. Education Sciences, 15(2), Article 233. https://doi.org/10.3390/educsci150202332024
Improving instructional decision-making using diagnostic classification models
Thompson, W. J. & Clark, A. K. (2024). Improving instructional decision-making using diagnostic classification models. Educational Measurement: Issues and Practice, 43(4), 146–156. https://doi.org/10.1111/emip.12619 [Preprint]2023
measr: Bayesian psychometric measurement using Stan
Thompson, W. J. (2023). measr: Bayesian psychometric measurement using Stan. Journal of Open Source Software, 8(91), Article 5742. https://doi.org/10.21105/joss.05742Visualizing distributions across grades with ridgeline plots
Thompson, W. J. (2023). Visualizing distributions across grades with ridgeline plots [Cover graphic]. Educational Measurement: Issues and Practice, 42(2). https://doi.org/10.1111/emip.12514Using simulated retests to estimate the reliability of diagnostic assessment systems
Thompson, W. J., Nash, B., Clark, A. K., & Hoover, J. C. (2023). Using simulated retests to estimate the reliability of diagnostic assessment systems. Journal of Educational Measurement, 60(3), 455–475. https://doi.org/10.1111/jedm.12359 [Preprint]2022
Developing and refining a model for measuring implementation fidelity for an instructionally embedded assessment system
Kobrin, J. L., Karvonen, M., Clark, A. K., & Thompson, W. J. (2022). Developing and refining a model for measuring implementation fidelity for an instructionally embedded assessment system. Practical Assessment, Research, and Evaluation, 27(1), Article 24. https://scholarworks.umass.edu/pare/vol27/iss1/24Effect of lipoprotein apheresis on progression of carotid intima-media thickness in patients with severe hypercholesterolemia
Safarova, M. S., Nugent, A. K., Gorby, L., Dutton, J., Thompson, W. J., & Moriarty, P. M. (2022). Effect of lipoprotein apheresis on progression of carotid intima-media thickness in patients with severe hypercholesterolemia. American Journal of Cardiology, 177, 22–27. https://doi.org/10.1016/j.amjcard.2022.05.002Intima-media thickness measured at the common-carotid artery in patients treated with lipoprotein apheresis
Thompson, W. J., Nugent, A., Gorby, L., Dutton, J., Moriarty, P., & Safarova, M. (2022). Intima-media thickness measured at the common-carotid artery in patients treated with lipoprotein apheresis. Journal of Clinical Lipidology, 16(3), e46. https://doi.org/10.1016/j.jacl.2022.05.022Gibbs sampler
Thompson, W. J. (2022). Gibbs sampler. In B. B. Frey (Ed.) The SAGE encyclopedia of research design (2nd ed., pp. 621–622). SAGE. https://doi.org/10.4135/9781071812082.n231A diagnostic framework for the empirical evaluation of learning maps
Thompson, W. J. & Nash, B. (2022). A diagnostic framework for the empirical evaluation of learning maps. Frontiers in Education, 6, Article 714736. https://doi.org/10.3389/feduc.2021.7147362021
20 years of research in educational measurement
Thompson, W. J. (2021). 20 years of research in educational measurement [Cover graphic]. Educational Measurement: Issues and Practice, 40(2). https://doi.org/10.1111/emip.123482020
New approaches to designing and administering inclusive assessments
Karvonen, M., Kingston, N. M., Wehmeyer, M. L., & Thompson, W. J. (2020). New approaches to designing and administering inclusive assessments. Oxford research encyclopedia of education (pp. 1–23). Oxford University Press. https://doi.org/10.1093/acrefore/9780190264093.013.11822019
Measuring the reliability of diagnostic mastery classifications at multiple levels of reporting
Thompson, W. J., Clark, A. K., & Nash, B. (2019). Measuring the reliability of diagnostic mastery classifications at multiple levels of reporting. Applied Measurement in Education, 32(4), 298–309. https://doi.org/10.1080/08957347.2019.1660345 [Preprint]2018
Construct irrelevance
Thompson, W. J. (2018). Construct irrelevance. In B. B. Frey (Ed.) The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 375–376). SAGE. https://doi.org/10.4135/9781506326139.n143Evaluating model estimation processes for diagnostic classification models
Thompson, W. J. (2018). Evaluating model estimation processes for diagnostic classification models (Publication No. 10785604) [Doctoral dissertation, University of Kansas]. ProQuest Dissertations and Theses Global. https://doi.org/10.31237/osf.io/vke5u2017
Visualizing different levels of compensation in multidimensional item response theory
Thompson, W. J. (2017). Visualizing different levels of compensation in multidimensional item response theory [Cover graphic]. Educational Measurement: Issues and Practice, 36(4). https://doi.org/10.1111/emip.121772016
Assessing cognitive and affective empathy through the Interpersonal Reactivity Index: An argument against a two-factor model
Chrysikou, E. G. & Thompson, W. J. (2016). Assessing cognitive and affective empathy through the Interpersonal Reactivity Index: An argument against a two-factor model. Assessment, 23(6), 769–777. https://doi.org/10.1177/1073191115599055Dynamic assessment routing
Thompson, W. J., Nash, B., Clark, A. K., & Karvonen, M. (2016). Dynamic assessment routing [Featured graphic]. Educational Measurement: Issues and Practice, 35(2), 33. https://doi.org/10.1111/emip.121142014
Dissociating cognitive and affective empathy in unipolar depression
Thompson, W. J. (2014). Dissociating cognitive and affective empathy in unipolar depression [Undergraduate thesis, University of Kansas]. Thesis Commons. https://doi.org/10.31237/osf.io/m4xjfTechnical Reports
2021
2020–2021 DLM administration during COVID-19
Accessible Teaching, Learning, and Assessment Systems (2021). 2020–2021 DLM administration during COVID-19: Participation, performance, and educational experience (Technical Report No. 21-02). University of Kansas. [PDF]Using propensity scores to evaluate changes in cross-year performance distributions
Thompson, W. J. & Hoover, J. C. (2021). Using propensity scores to evaluate changes in cross-year performance distributions (Technical Report No. 21-01). University of Kansas; Accessible Teaching, Learning, and Assessment Systems. [PDF]The impact of COVID-19
Clark, A. K., Thompson, W. J., Kobrin, J., Kavitsky, E., & Karvonen, M. (2021). The impact of COVID-19: Validity considerations and scoring and reporting in flexible scenarios (Project Brief No. 21-01). University of Kansas; Accessible Teaching, Learning, and Assessment Systems. [PDF]2020
Reliability for the Dynamic Learning Maps assessments
Thompson, W. J. (2020). Reliability for the Dynamic Learning Maps assessments: A comparison of methods (Technical Report No. 20-03). University of Kansas; Accessible Teaching, Learning, and Assessment Systems. [PDF]2019
Bayesian psychometrics for diagnostic assessments
Thompson, W. J. (2019). Bayesian psychometrics for diagnostic assessments: A proof of concept (Research Report No. 19-01). University of Kansas; Accessible Teaching, Learning, and Assessment Systems. https://doi.org/10.35542/osf.io/jzqs8Instructionally embedded assessment
Clark, A. K., Thompson, W. J., & Karvonen, M. (2019). Instructionally embedded assessment: Patterns of use and outcomes (Technical Report No. 19-01). University of Kansas; Accessible Teaching, Learning, and Assessment Systems. [PDF]2018
Assessing model fit for the Dynamic Learning Maps alternate assessment using a Bayesian estimation
Thompson, W. J. (2018). Assessing model fit for the Dynamic Learning Maps alternate assessment using a Bayesian estimation (Technical Report No. 18-01). University of Kansas; Accessible Teaching, Learning, and Assessment Systems. [PDF]Conference Presentations
2025
Pathways for instructionally embedded assessment (PIE) proof of concept: Potential future summative uses of an instructionally embedded assessment model
Thompson, W. J., Nash, B., & Bates, S. (2025, June 23–25). Pathways for instructionally embedded assessment (PIE) proof of concept: Potential future summative uses of an instructionally embedded assessment model [Symposium]. National Conference on Student Assessment, Denver, CO.Evaluating learning progression heirarchies with diagnostic models
Jimenez, A., Thompson, W. J., & Nash, B. (2025, April 23–26). Evaluating learning progression heirarchies with diagnostic models [Paper presentation]. National Council on Measurement in Education Annual Meeting, Denver, CO.Patterns of use from an instructionally embedded assessment pilot study
Nash, B., Thompson, W. J., Jimenez, A., Majerus, M., & Bates, S. (2025, April 23–26). Patterns of use from an instructionally embedded assessment pilot study [Paper presentation]. National Council on Measurement in Education Annual Meeting, Denver, CO.Modeling attribute relationships in diagnostic models with the R package measr
Thompson, W. J. (2025, April 23–26). Modeling attribute relationships in diagnostic models with the R package measr [Innovation demonstration]. National Council on Measurement in Education Annual Meeting, Denver, CO. [Slides]Applications of diagnostic models to learning progressions to improve student learning
Thompson, W. J. (2025, April 23–26). Applications of diagnostic models to learning progressions to improve student learning. In S. Wang (Chair), Bridging theory and practice: Fostering innovation in diagnostic measurement to enhance education [Symposium]. National Council on Measurement in Education Annual Meeting, Denver, CO. [Slides]2024
Evaluating methods for assessing model fit in diagnostic classification models
Thompson, W. J. (2024, July 15–19). Evaluating methods for assessing model fit in diagnostic classification models [Paper presentation]. International Meeting of the Psychometric Society, Prague, Czech Republic. [PDF / Slides]Diagnostic modeling for educational and psychological assessment
Thompson, W. J. (2024, July 8–11). Diagnostic modeling for educational and psychological assessment [Conference session]. useR!, Salzburg, Austria. [Slides]Evaluating Bayesian transition diagnostic classification models for reporting within-year progress
Hoover, J. C. & Thompson, W. J. (2024, June 24–26). Evaluating Bayesian transition diagnostic classification models for reporting within-year progress [Conference session]. Modern Modeling Methods, University of Connecticut, Storrs, CT.Invited discussion
Thompson, W. J. (2024, April 11–14). Invited discussion. In S. Wang (Chair), Reconceptualizing diagnostic classification models: Applications and new developments [Symposium]. National Council on Measurement in Education Annual Meeting, Philadelphia, PA. [Slides]2023
Using diagnostic models to evaluate student learning hierarchies in a large-scale assessment
Thompson, W. J., Nash, B., & Hoover, J. C. (2023, September 6–7). Using diagnostic models to evaluate student learning hierarchies in a large-scale assessment [Conference session]. Frontier Research in Educational Measurement, Oslo, Norway. [PDF / Slides]Evaluating the performance of person-fit detection methods in diagnostic classification models
Hoover, J. C. & Thompson, W. J. (2023, April 12–15). Evaluating the performance of person-fit detection methods in diagnostic classification models [Paper presentation]. National Council on Measurement in Education Annual Meeting, Chicago, IL. [PDF]Using machine learning to identify causes of differential item functioning
Hoover, J. C., Frey, B., & Thompson, W. J. (2023, April 12–15). Using machine learning to identify causes of differential item functioning [Paper presentation]. National Council on Measurement in Education Annual Meeting, Chicago, IL.Using contribution analysis to evaluate the validity argument for an assessment system
Kobrin, J., Clark, A. K., & Thompson, W. J. (2023, April 12–15). Using contribution analysis to evaluate the validity argument for an assessment system. In J. Kobrin (Chair), Approaches for evaluating and reporting the strength of validity evidence for assessments [Symposium]. National Council on Measurement in Education Annual Meeting, Chicago, IL.A simulated retest method for estimating classification reliability
Thompson, W. J. & Clark, A. K. (2023, April 12–15). A simulated retest method for estimating classification reliability. In Y. Bao, M. Madison, & Q. Pan (Chair), Diagnostic measurement: Operational and implementational issues [Symposium]. National Council on Measurement in Education Annual Meeting, Chicago, IL. [PDF / Slides]Applied diagnostic classification modeling with the R package measr
Thompson, W. J. (2023, March 28–30). Applied diagnostic classification modeling with the R package measr [Conference session]. National Council on Measurement in Education Annual Meeting, Virtual Sessions. [Slides]2022
Visualizing validity evidence
Clark, A. K., Thompson, W. J., & Kobrin, J. (2022, April 22–25). Visualizing validity evidence: Considering strength of evidence following disrupted administration [Paper presentation]. National Council on Measurement in Education Annual Meeting, San Diego, CA. [PDF]Modifying the M2 statistic to handle missing data
Hoover, J. C. & Thompson, W. J. (2022, April 22–25). Modifying the M2 statistic to handle missing data [Paper presentation]. National Council on Measurement in Education Annual Meeting, San Diego, CA. [PDF]Development and evaluation of a composite item-fit statistic for diagnostic classification models
Kobrin, J., Thompson, W. J., Wang, W., & Hoover, J. C. (2022, April 22–25). Development and evaluation of a composite item-fit statistic for diagnostic classification models [Paper presentation]. National Council on Measurement in Education Annual Meeting, San Diego, CA. [PDF]The impact of COVID-19 on education for students with significant cognitive disabilities
Kobrin, J., Clark, A. K., Beitling, B., & Thompson, W. J. (2022, April 21–26). The impact of COVID-19 on education for students with significant cognitive disabilities [Paper presentation]. American Educational Research Association Annual Meeting, San Diego, CA. [PDF]2021
Vascular age in patients with familial hypercholesterolemia and/or elevated lipoprotein(a) treated with lipoprotein apheresis
Safarova, M. S., Gorby, L., Dutton, J., Nugent, A. K., Thompson, W. J., & Moriarty, P. M. (2021, November 13–15). Vascular age in patients with familial hypercholesterolemia and/or elevated lipoprotein(a) treated with lipoprotein apheresis [Poster presentation]. American Heart Association Scientific Sessions, Virtual Conference.The I-SMART project: Empirical map validation
Hoover, J. C., Thompson, W. J., Nash, B., & Kobrin, J. (2021, June 8–11). The I-SMART project: Empirical map validation [Paper presentation]. National Council on Measurement in Education Annual Meeting, Virtual Conference. [PDF]Technical evidence for diagnostic assessments
Thompson, W. J., Clark, A. K., & Nash, B. (2021, June 8–11). Technical evidence for diagnostic assessments. In W. J. Thompson (Chair), Diagnostic assessments: Moving from theory to practice [Symposium]. National Council on Measurement in Education Annual Meeting, Virtual Conference. [PDF / Slides]Developing and refining a model for measuring implementation fidelity for an instructionally embedded assessment system
Kobrin, J., Karvonen, M., Burnes, J., Thompson, W. J., & Clark, A. K. (2021, April 9–12). Developing and refining a model for measuring implementation fidelity for an instructionally embedded assessment system [Poster presentation]. American Educational Research Association Annual Meeting, Virtual Conference. [PDF]2020
Model fit for diagnostic classification models
Thompson, W. J. & Hoover, J. C. (2020, June 2–3). Model fit for diagnostic classification models [Paper presentation]. Modern Modeling Methods Conference, University of Connecticut, Storrs, CT. (Conference canceled)Diagnostic assessment: DIF detection from binary and aggregate mastery classifications
Hoover, J. C., Thompson, W. J., Clark, A. K., & Nash, B. (2020, April 16–20). Diagnostic assessment: DIF detection from binary and aggregate mastery classifications [Paper presentation]. National Council on Measurement in Education Annual Meeting, San Francisco, CA. (Conference canceled)Comparing reliability methods for diagnostic mastery classifications
Thompson, W. J., Nash, B., & Clark, A. K. (2020, April 16–20). Comparing reliability methods for diagnostic mastery classifications [Paper presentation]. National Council on Measurement in Education Annual Meeting, San Francisco, CA. (Conference canceled)Branding and packaging reports with R Markdown
Thompson, W. J. & Pablo, N. (2020, January 29–30). Branding and packaging reports with R Markdown [Conference session]. rstudio::conf(2020), San Francisco, CA. [Slides]2019
Empirical methods for evaluating maps
Thompson, W. J. & Nash, B. (2019, April 4–8). Empirical methods for evaluating maps: Illustrations and results. In M. Karvonen (Chair), Beyond learning progressions: Maps as assessment architecture [Symposium]. National Council on Measurement in Education Annual Meeting, Toronto, Canada. [PDF / Slides]2018
A hierarchical IRT model for identifying group-level aberrant growth
Brussow, J. A., Skorupski, W. P., & Thompson, W. J. (2018, April 12–16). A hierarchical IRT model for identifying group-level aberrant growth [Paper presentation]. National Council on Measurement in Education Annual Meeting, New York, NY.Using simulation to evaluate retest reliability of assessment results
Nash, B., Clark, A. K., & Thompson, W. J. (2018, April 12–16). Using simulation to evaluate retest reliability of assessment results [Paper presentation]. National Council on Measurement in Education Annual Meeting, New York, NY. [PDF]Measuring the reliability of student mastery classifications at multiple levels of reporting
Thompson, W. J., Clark, A. K., & Nash, B. (2018, April 12–16). Measuring the reliability of student mastery classifications at multiple levels of reporting [Paper presentation]. National Council on Measurement in Education Annual Meeting, New York, NY. [PDF / Slides]2017
A hierarchical IRT model for identifying group-level aberrant growth
Brussow, J. A., Skorupski, W. P., & Thompson, W. J. (2017, September 6–8). A hierarchical IRT model for identifying group-level aberrant growth [Poster presentation]. Conference on Test Security, Madison, WI.Creating an R package for a reproducible workflow in educational assessment
Thompson, W. J. (2017, July 4–7). Creating an R package for a reproducible workflow in educational assessment [Poster presentation canceled]. useR! – International R User Conference, Brussels, Belgium.Evaluating an initialization tool for student placement into a map-based assessment
Nash, B. & Thompson, W. J. (2017, April 26–30). Evaluating an initialization tool for student placement into a map-based assessment [Paper presentation]. National Council on Measurement in Education Annual Meeting, San Antonio, TX. [PDF]2016
Pitavastatin lowers plasma levels of COQ10 less than equipotent doses of rosuvastatin or atorvastatin
Moriarty, P. M., Sponseller, C. A., Backes, J., Ruisinger, J., Sehar, N., Denney, L., Thompson, W. J., & Wick, J. A. (2016, August 27–31). Pitavastatin lowers plasma levels of COQ10 less than equipotent doses of rosuvastatin or atorvastatin [Poster presentation]. European Society of Cardiology Congress, Rome, Italy.Pitavastatin lowers plasma levels of COQ10 less than equipotent doses of rosuvastatin or atorvastatin
Moriarty, P. M., Sponseller, C. A., Backes, J., Ruisinger, J., Sehar, N., Denney, L., Thompson, W. J., & Wick, J. A. (2016, June 2–4). Pitavastatin lowers plasma levels of COQ10 less than equipotent doses of rosuvastatin or atorvastatin [Poster presentation]. Symposium of the International Atherosclerosis Society: “Anitschkow” Days, Saint Petersburg, Russia.2014
Dissociating cognitive and affective empathy
Thompson, W. J. & Chrysikou, E. G. (2014, April 29). Dissociating cognitive and affective empathy [Poster presentation]. University of Kansas Symposium for Undergraduate Psychology Engagement and Research, Lawrence, KS.Dissociating cognitive and affective empathy
Thompson, W. J. & Chrysikou, E. G. (2014, April 26). Dissociating cognitive and affective empathy [Conference session]. University of Kansas Undergraduate Research Symposium, Lawrence, KS.2013
Getting into a character’s head: The role of reading fiction vs. non-fiction in empathy
Ramey, C. H. & Thompson, W. J. (2013, November 14–17). Getting into a character’s head: The role of reading fiction vs. non-fiction in empathy [Poster presentation]. Psychonomic Society Annual Meeting, Toronto, Canada.Dissociating cognitive and affective empathy: Implications for mood disorders
Thompson, W. J. & Chrysikou, E. G. (2013, November 14–17). Dissociating cognitive and affective empathy: Implications for mood disorders [Poster presentation]. Psychonomic Society Annual Meeting, Toronto, Canada.Transcranial direct current stimulation as a possible intervention tool for emotion regulation in depression
Chrysikou, E. G., Thompson, W. J., Hanson, G. K., Martin, L. E., & Ingram, R. E. (2013, June 20). Transcranial direct current stimulation as a possible intervention tool for emotion regulation in depression [Poster presentation]. Integrating Technology in Translational Research Symposium, Kansas City, MO.Color pleasantness modulated by physiological arousal
Thompson, W. J., Burda, K., Jamison, A., & Supica, D. (2013, May 7). Color pleasantness modulated by physiological arousal [Poster presentation]. University of Kansas Symposium for Undergraduate Psychology Engagement and Research, Lawrence, KS.Performance, competency, and career level among physicians in a treatment program
Gorey, C. M., Thompson, W. J., Vickers, K. L., Williams, M. V., & Williams, B. W. (2013, April 18–20). Performance, competency, and career level among physicians in a treatment program [Poster presentation]. Federation of State Medical Boards Annual Meeting, Boston, MA.Competency, diagnosis, and career level among physicians in a treatment program
Williams, B. W., Gorey, C. M., Thompson, W. J., Vickers, K. L., & Williams, M. V. (2013, April 18–20). Competency, diagnosis, and career level among physicians in a treatment program [Poster presentation]. Federation of State Medical Boards Annual Meeting, Boston, MA.R Packages
2025
measr: Bayesian psychometric measurement using ‘Stan’
Thompson, W. J. (2025). measr: Bayesian psychometric measurement using ‘Stan’ (R package version 1.0.0.9000) [Computer software]. https://github.com/wjakethompson/measrtaylor: Lyrics and song data for Taylor Swift’s discography
Thompson, W. J. (2025). taylor: Lyrics and song data for Taylor Swift’s discography (R package version 3.2.0) [Computer software]. The Comprehensive R Archive Network. https://doi.org/10.32614/CRAN.package.taylor2024
rstandlm: Bayesian psychometrics for Dynamic Learning Maps
Thompson, W. J. (2024). rstandlm: Bayesian psychometrics for Dynamic Learning Maps (R package version 3.0.0) [Computer software]. Internal R Package.ratlas: ATLAS formatting functions and templates
Thompson, W. J., Pablo, N., & Hoover, J. (2024). ratlas: ATLAS formatting functions and templates (R package version 0.1.0) [Computer software]. The Comprehensive R Archive Network. https://doi.org/10.32614/CRAN.package.ratlasdlmr: The Dynamic Learning Maps psychometric operational workflow
Thompson, W. J. (2024). dlmr: The Dynamic Learning Maps psychometric operational workflow (R package version 3.0.0) [Computer software]. Internal R Package.wjake: Personal R package for miscellaneous themes, templates, and functions
Thompson, W. J. (2024). wjake: Personal R package for miscellaneous themes, templates, and functions (R package version 0.1.0) [Computer software]. https://github.com/wjakethompson/wjaketdcmStan: Automating the creation of Stan code for TDCMs
Hoover, J. & Thompson, W. J. (2024). tdcmStan: Automating the creation of Stan code for TDCMs (R package version 3.0.0) [Computer software]. The Comprehensive R Archive Network. https://doi.org/10.32614/CRAN.package.tdcmStan2023
dcm2: Calculating the M2 model fit statistic for diagnostic classification models
Hoover, J. & Thompson, W. J. (2023). dcm2: Calculating the M2 model fit statistic for diagnostic classification models (R package version 1.0.2) [Computer software]. The Comprehensive R Archive Network. https://doi.org/10.32614/CRAN.package.dcm22020
jayhawkdown: A bookdown template for University of Kansas dissertations
Thompson, W. J. (2020). jayhawkdown: A bookdown template for University of Kansas dissertations (R package version 1.0.0) [Computer software]. https://github.com/wjakethompson/jayhawkdownTutorials and Workshops
2024
Diagnostic classification modeling with R and Stan
Thompson, W. J. (2024, April 11–14). Diagnostic classification modeling with R and Stan [Workshop]. National Council on Measurement in Education Annual Meeting, Philadelphia, PA. https://ncme2024.measr.infoDiagnostic psychometrics
Thompson, W. J. (2024, March 26). Diagnostic psychometrics [Guest lecture]. In S. Joo (Instructor), Introduction to item response theory [EPSY 896]. Department of Educational Psychology, University of Kansas, Lawrence, KS. https://epsy896-dcm.wjakethompson.com2023
Diagnostic modeling with R and Stan
Thompson, W. J. (2023, June 20–23). Diagnostic modeling with R and Stan [Workshop]. StanCon, Washington University in St. Louis, MO. https://stancon2023.measr.info2021
Tidy data science with the Tidyverse and Tidymodels
Thompson, W. J. (2021, June 14–18). Tidy data science with the Tidyverse and Tidymodels [Workshop]. Summer Research Methods Camp, hosted by the Achievement and Assessment Institute, University of Kansas, Lawrence, KS. https://tidyds-2021.wjakethompson.com2020
Using R for item response theory
Thompson, W. J. (2020, February 24). Using R for item response theory [Guest lecture]. In N. Kingston (Instructor), Item response theory [EPSY 922]. Department of Educational Psychology, University of Kansas, Lawrence, KS. https://github.com/wjakethompson/r-irt2019
Tidy data science
Thompson, W. J. (2019, May 20–24). Tidy data science [Workshop]. Stats Camp: Summer Statistical Institute, hosted by the Center for Research Methods and Data Analysis and the Achievement and Assessment Institute, University of Kansas, Lawrence, KS. https://tidy-ds.wjakethompson.comPsychometric considerations for learning maps-based assessments
Thompson, W. J., Nash, B., & Clark, A. K. (2019, February 22). Psychometric considerations for learning maps-based assessments [Invited talk]. Educational Psychology Proseminar, University of Kansas, Lawrence, KS. https://www.wjakethompson.com/talk/2019-02-psycho-learning-maps/2017
Introduction to ggplot2
Thompson, W. J. (2017, March 1). Introduction to ggplot2 [Tutorial]. In P. E. Johnson (Instructor), Statistical computing [POLS 909]. Department of Political Science, University of Kansas, Lawrence, KS. https://github.com/wjakethompson/pols-909-ggplot22016
Data visualization using ggplot2
Thompson, W. J. (2016, October 10). Data visualization using ggplot2 [Tutorial]. Research, Evaluation, Measurement, and Statistics graduate seminar, University of Kansas, Lawrence, KS. https://github.com/wjakethompson/ggplot2-seminar-talk2015
Statistical analysis in sports
Thompson, W. J. (2015, October 9). Statistical analysis in sports [Invited talk]. Research, Evaluation, Measurement, and Statistics graduate seminar, University of Kansas, Lawrence, KS. [Slides]Data manipulation in R
Thompson, W. J. (2015, October 7). Data manipulation in R: Using and transforming your data [Tutorial]. Center for Educational Testing and Evaluation, University of Kansas, Lawrence, KS.Data mining in R
Thompson, W. J. (2015, September 30). Data mining in R: Answering questions about your data [Tutorial]. Center for Educational Testing and Evaluation, University of Kansas, Lawrence, KS.2013
Using transcranial direct current stimulation for the treatment of mood disorders
Thompson, W. J. & Chrysikou, E. G. (2013, November 22). Using transcranial direct current stimulation for the treatment of mood disorders [Invited talk]. Hoglund Brain Imaging Center Neuroimaging Journal Club, University of Kansas Medical Center, Kansas City, MO. [Slides]Awards
Currently Funded Projects
Previously Funded Projects
Unfunded Projects
Professional Awards
Service
Institutional Service
- Research Technology working group (2021)
Professional Affiliations
- Program Chair, Cognition and Assessment SIG (2023)
- Co-Chair, Diagnostic Measurement SIGMIE (2024)
- Student Representative, Diversity and Testing Committee (2015)