विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| स्केलों के लिए पुष्टिकारीय कारक विश्लेषण× | सामग्री वैधता अनुपात× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1969 | 1975 |
| प्रवर्तक≠ | Karl G. Jöreskog | Charles H. Lawshe |
| प्रकार≠ | Confirmatory factor analysis methodology | Expert panel content validity assessment |
| मौलिक स्रोत≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. link ↗ |
| उपनाम | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling | CVR, Content validity index, Expert judgment content validity, Lawshe CVR |
| संबंधित | 4 | 4 |
| सारांश≠ | Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy. | The Content Validity Ratio (CVR) is a quantitative method developed by Charles Lawshe in 1975 for evaluating the extent to which items in a measurement instrument are relevant and representative of a target construct. The method aggregates expert panel judgments into a single validity coefficient for each item, enabling researchers to identify and retain only those items deemed essential by domain experts. CVR provides objective support for content validity claims during scale development. |
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