Scalability coefficients for two-level polytomous item scores: An introduction and an application

Open Access
Authors
Publication date 2016
Host editors
  • L.A. van der Ark
  • D. M. Bolt
  • W.-C. Wang
  • J.A. Douglas
  • M. Wiberg
Book title Quantitative Psychology Research
Book subtitle The 80th Annual Meeting of the Psychometric Society, Beijing, 2015
ISBN
  • 9783319387574
ISBN (electronic)
  • 9783319387598
Series Springer Proceedings in Mathematics & Statistics
Event The 80th annual meeting of the Psychometrics Society, Beijing
Pages (from-to) 139-153
Publisher Cham: Springer
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Research Institute of Child Development and Education (RICDE)
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-level Mokken scale analysis. Results suggest that coefficients from single-level analyses do not provide accurate information about scalability of two-level item scores.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-319-38759-8_11
Downloads
Permalink to this page
Back