Item Response Theory (IRT) is a psychometric approach that focuses both on the subjects’ response to a test item as well as the qualities of the test items. In particular, we focus on the Rasch model for IRT.
Topics
- Motivation for Rasch Analysis
- Basic Concepts of Rasch Analysis
- Building a Rasch Model (UCON version)
- Wright Map
- Guessing
- Real Statistics Support for a dichotomous UCON model
- PROX model
- Building a PROX model
- Real Statistics Support for a PROX model
- Expanded view of ability and difficulty
- Polytomous Model Basic Concepts
- Building a Polytomous UCON model
- Polytomous Model Fit
- Real Statistics Support for a Polytomous UCON model
References
Moultan, M. H. (2003) Rasch estimation demonstration spreadsheet
https://www.rasch.org/moulton.htm
Wright, B. D. and Stone, M. H. (1979) Best test design. MESA Press: Chicago, IL
https://research.acer.edu.au/measurement/1/
Wright, B. D. and Masters, J. N. (1982) Rating scale analysis. MESA Press: Chicago, IL
https://research.acer.edu.au/measurement/2/
Boone, W. J. (2016) Rasch analysis for instrument development: why, when, and how?
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5132390/pdf/rm4.pdf
Boone, W. J. and Noltemeyer, A. (2017) Rasch analysis: A primer for school psychology researchers and practitioners. Cogent Education
https://edisciplinas.usp.br/mod/resource/view.php?id=3333001
Furr, M. and Bacharach, V. R. (2007) Psychometrics: an introduction; Chapter 13: Item response theory and Rasch models. Sage Publishing
https://in.sagepub.com/sites/default/files/upm-binaries/18480_Chapter_13.pdf
Wright, B. and Stone, M. (1999) Measurement essentials, 2nd ed.
https://www.rasch.org/measess/