विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| क्रमिक राश मॉडल (रेटिंग स्केल और आंशिक क्रेडिट मॉडल)× | पुष्टिकारीय कारक विश्लेषण (CFA)× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1978–1982 | 1969 |
| प्रवर्तक≠ | David Andrich (RSM, 1978); Geoff Masters (PCM, 1982) | Karl Gustav Jöreskog |
| प्रकार≠ | Item response model for ordered categories | Hypothesis-testing latent variable model |
| मौलिक स्रोत≠ | Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| उपनाम | Rating Scale Model, Partial Credit Model, RSM, PCM | CFA, confirmatory FA, measurement model, restricted factor analysis |
| संबंधित≠ | 6 | 4 |
| सारांश≠ | The ordinal Rasch model extends the dichotomous Rasch framework to items with ordered response categories such as Likert-type scales. It places both persons and items on a shared interval-level metric, enabling principled measurement from ordinal data while checking whether items function consistently across all response thresholds. | 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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