Scalability coefficients for two-level polytomous item scores: An introduction and an application
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| Publication date | 2016 |
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| Book title | Quantitative Psychology Research |
| Book subtitle | The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 |
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| ISBN (electronic) |
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| Series | Springer Proceedings in Mathematics & Statistics |
| Event | The 80th annual meeting of the Psychometrics Society, Beijing |
| Pages (from-to) | 139-153 |
| Publisher | Cham: Springer |
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| 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.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-319-38759-8_11 |
| Downloads |
Scalability coefficients for two-level polytomous item scores
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