विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| क्रमिक नोमोलॉजिकल वैधता× | पुष्टिकारीय कारक विश्लेषण (CFA)× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1955 (concept); ordinal application 1990s–present | 1969 |
| प्रवर्तक≠ | Cronbach & Meehl (nomological network concept); ordinal extension in modern psychometrics | Karl Gustav Jöreskog |
| प्रकार≠ | Validity assessment | Hypothesis-testing latent variable model |
| मौलिक स्रोत≠ | Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| उपनाम | nomological validity for ordinal data, ordinal nomological network, construct network validity (ordinal), ordinal criterion-related validity | CFA, confirmatory FA, measurement model, restricted factor analysis |
| संबंधित≠ | 5 | 4 |
| सारांश≠ | Ordinal nomological validity examines whether a construct measured with ordinal items (e.g., Likert-type scales) behaves in theoretically predicted ways within a nomological network — a web of expected relationships with other constructs and criteria — using methods suited to ordinal data rather than assuming continuous measurement. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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