Módszerek összehasonlítása

	Eset-kohorsz tervezés	Részleges Legkisebb Négyzetek Strukturális Egyenlet Modellezés
Tudományterület	Pszichometria	Pszichometria
Módszercsalád	Latent structure	Latent structure
Keletkezés éve	1986	1985
Megalkotó	Ross Prentice	Herman Wold
Típus	Partial cohort sampling design	Component-based structural equation model
Alapmű	Prentice, R. L. (1986). A case-cohort design for epidemiologic cohort studies and disease prevention trials. Biometrika, 73(1), 1-11.	Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445
Alternatív nevek	—	PLS-SEM, PLS path modeling
Kapcsolódó	4	5
Összefoglaló	Case-cohort design is an epidemiological study design developed by Prentice (1986) that efficiently combines features of case-control and cohort studies. Researchers enroll an entire cohort, follow it for outcomes, then measure exposures only on cases and a random subcohort, reducing measurement costs while maintaining valid causal inference.	PLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data.