विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| अनुदैर्ध्य अभिसारी वैधता× | अभिसारी वैधता× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1997–2003 | 1959 |
| प्रवर्तक≠ | Cole & Maxwell; Widaman & Reise | Donald T. Campbell & Donald W. Fiske |
| प्रकार≠ | Validity evidence framework | Validity evidence / construct validation |
| मौलिक स्रोत≠ | Cole, D. A. & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| उपनाम≠ | longitudinal construct validity, repeated-measure convergent validity, cross-time convergent validity, temporal convergent validity | convergent construct validity, convergence validity, AVE-based convergent validity |
| संबंधित≠ | 6 | 4 |
| सारांश≠ | Longitudinal convergent validity evaluates whether a scale's indicators correlate with theoretically related constructs not just at a single time point but consistently across repeated measurement occasions. It extends standard convergent validity testing into longitudinal designs to ensure that the scale measures the intended construct in the same meaningful way over time. | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
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