विधियों की तुलना करें

	बहुपदीय विश्वसनीयता विश्लेषण (Polytomous Reliability Analysis)	पुष्टिकारीय कारक विश्लेषण (CFA)
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	2007–2009 (formal ordinal extensions); broader framework since 1950s	1969
प्रवर्तक	Building on Cronbach (1951) and McDonald (1978); ordinal extensions by Zumbo and colleagues (2007) and Green and Yang (2009)	Karl Gustav Jöreskog
प्रकार	Reliability estimation	Hypothesis-testing latent variable model
मौलिक स्रोत	Green, S. B. & Yang, Y. (2009). Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha. Psychometrika, 74(1), 155–167.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
उपनाम	polytomous scale reliability, ordinal reliability estimation, reliability for ordered-category items, polychoric reliability analysis	CFA, confirmatory FA, measurement model, restricted factor analysis
संबंधित	3	4
सारांश	Polytomous reliability analysis estimates the internal consistency or precision of measurement for scales composed of items with more than two ordered response categories, such as Likert-type, rating, or partial-credit items. It corrects a well-known underestimation bias in conventional Cronbach's alpha by working with polychoric correlations or IRT-based precision indices.	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.