| Autor: |
Xinyue Yu, Peida Zhan, Qipeng Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Frontiers in Psychology, Vol 14 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1664-1078 |
| DOI: |
10.3389/fpsyg.2023.1112463 |
| Popis: |
Previous longitudinal assessment experiences for multidimensional continuous latent constructs suggested that the set of anchor items should be proportionally representative of the total test forms in content and statistical characteristics and that they should be loaded on every domain in multidimensional tests. In such cases, the set of items containing the unit Q-matrix, which is the smallest unit representing the whole test, seems to be the natural choice for anchor items. Two simulation studies were conducted to verify the applicability of these existing insights to longitudinal learning diagnostic assessments (LDAs). The results mainly indicated that there is no effect on the classification accuracy regardless of the unit Q-matrix in the anchor items, and even not including the anchor items has no impact on the classification accuracy. The findings of this brief study may ease practitioners’ worries regarding anchor-item settings in the practice application of longitudinal LDAs. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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