Resources

What is psychometrics? - answered by psychometricians of the Psychometric Society, along with some historical context.

R tutorial:

• Introductory slides
• Tutorial repository
• Recommended use: visit https://posit.cloud and create a new project from this repository.

Selection of relevant papers:

• Borsboom, D. (2006). The attack of the psychometricians. Psychometrika, 71(3), 425–440.
• De Boeck, P., Bakker, M., Zwitser, R., Nivard, M., Hofman, A., Tuerlinckx, F., & Partchev, I. (2011). The Estimation of Item Response Models with the lmer Function from the lme4 Package in R. Journal of Statistical Software, 39(12), 1–28. https://doi.org/10.18637/jss.v039.i12
• Domingue, B.W., Kanopka, K., Kapoor, R. et al. (2024). The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items. Psychometrika. https://doi.org/10.1007/s11336-024-09977-2
• Embretson, S. E. (2005). The second century of ability testing: Some predictions and speculations. Measurement, 2(1), 1–32.
• Schimmack, U. (2024). Attack on the pseudometricians.

Curated IRT Datasets:

• The Item-Response Warehouse open-source, harmonized datasets from Ben Domingue, Mika Braginsky, and Michael C. Frank

Workshop slides on mirt and mirtCAT packages, for IRT analysis in R (Chalmers, 2015):

• Multidimensional Item Response Theory Workshop in R - Day 1
• Multidimensional Item Response Theory Workshop in R - Day 2

Textbooks:

• Brown, A. (2024). Psychometrics in Exercises using R and RStudio.
• Revelle, W. (under development). An introduction to psychometric theory with applications in R.

Dynamic Structural Equation Model (DSEM) resources:

• Primer paper: https://pubmed.ncbi.nlm.nih.gov/31855015/
• Book chapter: https://ellenhamaker.github.io/DSEM-book-chapter/HamakerAsparouhovMuthen21.pdf
• Good demo videos from the inventors: https://ellenhamaker.github.io/DSEM-demo-videos/#Introduction