Krahasoni metodat

	Analiza e fuqisë për modelimin e ekuacioneve strukturore	Analiza e fuqisë për regresion të shumëfishtë
Fusha	Statistikë	Statistikë
Familja	Hypothesis test	Hypothesis test
Viti i origjinës	1996	1988
Krijuesi	MacCallum, Browne & Sugawara	Jacob Cohen
Lloji	Sample size planning (multivariate / SEM)	A priori sample size determination
Burimi themelues	MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
Emërtime të tjera	SEM sample size planning, covariance structure power analysis, MANOVA power analysis, SEM / Çok Değişkenli Güç Analizi	regression power analysis, sample size estimation regression, f² power analysis, Güç Analizi — Regresyon
Të lidhura	6	4
Përmbledhja	Power analysis for SEM and other multivariate procedures determines the minimum sample size required to detect a model misfit of a specified magnitude with adequate probability. The dominant approach, introduced by MacCallum, Browne, and Sugawara in 1996, expresses effect size as the Root Mean Square Error of Approximation (RMSEA) and derives power from the noncentral chi-square distribution.	Power analysis for multiple regression is a pre-study procedure, formalised by Jacob Cohen (1988), that calculates the minimum sample size needed to detect a regression effect of a given size with adequate statistical power. It uses the anticipated R² (or the equivalent Cohen's f² effect size) and the number of predictors to determine how many observations must be collected before data collection begins.