Abstract
First, we made an overview of nonparametric item response models and
the corresponding scalability coefficients in Mokken scale analysis for single-level
item scores and two-level dichotomous item scores. Second, we generalized these
models and coefficients to two-level polytomous item scores. Third, we applied the
new scalability coefficients to a real-data example, and compared the outcomes with
results obtained using single-level reliability analysis and single-levelMokken scale
analysis. Results suggest that coefficients from single-level analyses do not provide
accurate information about scalability of two-level item scores.
the corresponding scalability coefficients in Mokken scale analysis for single-level
item scores and two-level dichotomous item scores. Second, we generalized these
models and coefficients to two-level polytomous item scores. Third, we applied the
new scalability coefficients to a real-data example, and compared the outcomes with
results obtained using single-level reliability analysis and single-levelMokken scale
analysis. Results suggest that coefficients from single-level analyses do not provide
accurate information about scalability of two-level item scores.
| Original language | English |
|---|---|
| Title of host publication | Quantitative psychology research |
| Subtitle of host publication | The 80th Annual Meeting of the Psychometric Society |
| Editors | L.A. van der Ark, D.M. Bolt, W.C. Wang, J.A. Douglas, M. Wiberg |
| Place of Publication | New York |
| Pages | 139-153 |
| Number of pages | 14 |
| Volume | Springer |
| Publication status | Published - 2016 |