विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| स्केलों के लिए पुष्टिकारीय कारक विश्लेषण× | फ़्लोर और सीलिंग प्रभाव× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1969 | 2000 |
| प्रवर्तक≠ | Karl G. Jöreskog | Classical psychometrics |
| प्रकार≠ | Confirmatory factor analysis methodology | Measurement validity assessment |
| मौलिक स्रोत≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗ | McHorney, C. A. (2000). Ten recommendations for measuring health status. Health-Related Quality of Life Outcomes, 2(1), 1-5. link ↗ |
| उपनाम | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling | Floor effect, Ceiling effect, Psychometric floor effect, Measurement floor |
| 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. | Floor and ceiling effects are psychometric phenomena in which a disproportionately large proportion of respondents achieve the lowest (floor) or highest (ceiling) possible score on a measurement scale. These effects compromise scale reliability and responsiveness, limiting the instrument's ability to distinguish among respondents and detect meaningful change over time. Systematic assessment of floor and ceiling effects is essential for evaluating the psychometric adequacy of health-related quality-of-life scales, functional status measures, and other patient-reported outcomes. |
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