Total, Between-, and Within-Item Attribute Person Fit Analysis: An Exploratory Nonparametric Approach to Person Fit

• In Event: Innovations in Psychometrics Modelings, and Methodologies

Abstract

We considered how researchers can incorporate item attributes into nonparametric person fit analysis. Inspired by parametric person fit statistics that consider patterns of residuals at the total-scale, between-item-attribute, and within-item-attribute levels, we proposed adaptations to Mokken Scale Analysis (MSA) person fit analysis techniques to reflect these levels of person fit analysis. We demonstrated the technique using a secondary analysis of survey data related to learning motivation. Then, we used a simulation study to consider the techniques under a wider range of conditions. Overall, the results suggested that it is possible to incorporate item attributes into MSA person fit analysis at the total-scale, between-item-attribute, and within-item attribute levels, and that each set of analyses provides a unique perspective on person fit.

Author

• Stefanie A. Wind, University of Alabama