পদ্ধতির তুলনা করুন

	একমুখী ভেদাঙ্ক বিশ্লেষণ	পুনরাবৃত্ত-ব্যবস্থা ANOVA	কাঠামোগত সমীকরণ মডেলিং (SEM)
ক্ষেত্র	পরিসংখ্যান	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Hypothesis test	Hypothesis test	Latent structure
উদ্ভবের বছর	1925	1992	1970
প্রবর্তক	Ronald A. Fisher	Girden (textbook treatment); Field (2013)	Karl Jöreskog (LISREL framework, 1970s)
ধরন	Parametric mean comparison	Parametric within-subjects mean comparison	Latent variable / causal modeling
মৌলিক উৎস	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.	Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185	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	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA	within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA	Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
সম্পর্কিত	4	4	5
সারসংক্ষেপ	One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.	Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).	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.