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Identifying and Minimizing Measurement Invariance among Intersectional Groups : The Alignment Method Applied to Multi-category Items.
・ISBN 978-1-009-35774-6 paper GB£ 18.00
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-009-35778-4
| 著者・編者 | Gordon, Rachel A. / Wang, Tianxiu / Nguyen, Hai et al., |
|---|---|
| シリーズ | Elements in Research Methods for Developmental Science |
| 出版社 | (Cambridge U. Pr., UK) |
| 出版年月 | 2023.07 |
| ページ数 | 75 pp. |
| 言語 | ENG |
| ニュース番号 | ＜702-1491＞ |
解説
This Element demonstrates how and why the alignment method can advance measurement fairness in developmental science. It explains its application to multi-category items in an accessible way, offering sample code and demonstrating an R package that facilitates interpretation of such items' multiple thresholds. It features the implications for group mean differences when differences in the thresholds between categories are ignored because items are treated as continuous, using an example of intersectional groups defined by assigned sex and race/ethnicity. It demonstrates the interpretation of item-level partial non-invariance results and their implications for group-level differences and encourages substantive theorizing regarding measurement fairness.