So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Phân tích mục theo nhóm đa dạng× | Kiểm định tính bất biến của phép đo đa nhóm× | |
|---|---|---|
| Lĩnh vực | Trắc lượng tâm lý | Trắc lượng tâm lý |
| Họ | Latent structure | Latent structure |
| Năm ra đời≠ | 1986 | 1971–1993 |
| Người khởi xướng≠ | Classical test theory tradition; systematised by Crocker & Algina (1986) | Jöreskog, K. G. (1971); Meredith, W. (1993) |
| Loại≠ | Comparative item-level analysis | Model comparison / hypothesis testing |
| Công trình gốc≠ | Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341 | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| Tên gọi khác | MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis | measurement invariance, factorial invariance, cross-group invariance, MI testing |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing. | Multi-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts. |
| ScholarGateBộ dữ liệu ↗ |
|
|