পদ্ধতির তুলনা করুন

	ক্রোনব্যাকের আলফা (নির্ভরযোগ্যতা বিশ্লেষণ)	কনফার্মেটরি ফ্যাক্টর অ্যানালাইসিস (CFA)	অনুসন্ধানী উপাদান বিশ্লেষণ (EFA)	কাঠামোগত সমীকরণ মডেলিং (SEM)
ক্ষেত্র	পরিসংখ্যান	মনোমিতি	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Latent structure	Latent structure	Latent structure	Latent structure
উদ্ভবের বছর	1951	1969	—	1970
প্রবর্তক	Lee J. Cronbach	Karl Gustav Jöreskog	—	Karl Jöreskog (LISREL framework, 1970s)
ধরন	Reliability / internal consistency coefficient	Hypothesis-testing latent variable model	Latent variable / dimension reduction	Latent variable / causal modeling
মৌলিক উৎস	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.	Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
অপর নাম	coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha)	CFA, confirmatory FA, measurement model, restricted factor analysis	common factor analysis, açımlayıcı faktör analizi, factor analysis	Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
সম্পর্কিত	4	4	4	5
সারসংক্ষেপ	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.	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.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.	Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.