Linganisha mbinu

	Uchanganuzi wa Madhihirisho ya Upatanisho	Uchanganuzi wa Kimuundo wa Milongozo (SEM)
Nyanja	Takwimu	Takwimu za Utafiti
Familia	Latent structure	Process / pipeline
Mwaka wa asili	2007	1921
Mwanzilishi	Preacher, Rucker & Hayes	Sewall Wright
Aina	Conditional process model	Method
Chanzo asilia	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654	Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm.
Majina mbadala	conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation	SEM, path analysis, latent variable modeling, causal modeling
Zinazohusiana	4	3
Muhtasari	Moderated mediation tests whether the indirect effect of an independent variable on an outcome — transmitted through a mediator — differs in strength depending on the level of a moderator variable. It answers the question: for whom, or under what conditions, does the mediated pathway operate most strongly?	Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis.