विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बाइफैक्टर मॉडल (सामान्य और विशिष्ट कारक)× | क्रोनबैक का अल्फा (विश्वसनीयता विश्लेषण)× | |
|---|---|---|
| क्षेत्र≠ | मनोमिति | सांख्यिकी |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1937 | 1951 |
| प्रवर्तक≠ | Holzinger & Swineford (1937); modern revival by Reise (2012) | Lee J. Cronbach |
| प्रकार≠ | Confirmatory latent variable model | Reliability / internal consistency coefficient |
| मौलिक स्रोत≠ | Reise, S. P. (2012). The Rediscovery of Bifactor Measurement Models. Multivariate Behavioral Research, 47(5), 667–696. DOI ↗ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ |
| उपनाम | Bifaktör Modeli — Genel ve Spesifik Faktörler, hierarchical factor model, general-specific factor model, Schmid-Leiman model | coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha) |
| संबंधित≠ | 6 | 4 |
| सारांश≠ | The bifactor measurement model specifies that every indicator loads simultaneously on a single general factor and on one of several specific (group) factors. Formally introduced by Holzinger and Swineford in 1937 and brought into mainstream psychometrics by Reise (2012), it is now the standard tool for evaluating whether a multidimensional scale can legitimately yield a single composite score. | Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research. |
| ScholarGateडेटासेट ↗ |
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