Skip to content

Measuring Religious Experience: An Item Response Theory Analysis of Religious Experiences

Joe Chelladurai

preprint DOI: 10.31219/osf.io/vpa6d (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Psychometric analysis
Key points Most items on a measure of religious experiences show low discriminatory and low difficulty parameters, with one item measuring change as a result of religious experience performing differently.

Abstract

Apart from its wide usage in educational testing and scale development, Item Response Theory analysis has not been used as much in the study of religion and spirituality. Taking advantage of the psychometric abilities of IRT, in this paper, I examine a measure of religious experiences. Particularly, I employ the Rasch model along with two parametric and three parametric logistic models for dichotomous outcomes. In general, findings from the analysis suggest low discriminatory and low difficulty parameters on the items except for one item which measured change as a result of religious experience.