مقایسهٔ روشها
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| توسعه مقیاس چندگروهی× | تحلیل عاملی تأییدی چندگروهی (MG-CFA)× | |
|---|---|---|
| حوزه | روانسنجی | روانسنجی |
| خانواده | Latent structure | Latent structure |
| سال پیدایش≠ | 1971 (multi-group CFA); 2000 (applied synthesis for scale development) | 1971 |
| پدیدآور≠ | Jöreskog, K. G. (multi-group SEM framework); systematised for scale development by Vandenberg & Lance (2000) | Karl Jöreskog |
| نوع≠ | Scale development / measurement model testing | Measurement model / invariance test |
| منبع بنیادین≠ | 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 ↗ | 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 ↗ |
| نامهای دیگر | MGSD, cross-group scale development, multi-sample scale development, comparative scale construction | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA |
| مرتبط | 6 | 6 |
| خلاصه≠ | Multi-group scale development constructs and validates a measurement scale simultaneously across two or more distinct populations or groups. The approach integrates standard item generation and factor-analytic procedures with a systematic hierarchy of measurement invariance tests to ensure that the resulting scale measures the same construct in the same way in every target group. | Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified. |
| ScholarGateمجموعهداده ↗ |
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