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Structural Equation Modeling (SEM) in AMOS: Complete Beginner Guide

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IBM SPSS Academy 27 File Edit View Data Transform Analyze Graphs Utilities IBM SPSS Amos ▶ ▶ SEM Menü Yolu: Analyze → IBM SPSS Amos → SEM Yukarıdaki menü yolunu takip ederek analiz penceresini açın

📸 SEM in AMOS — combining measurement and structural models

What Is SEM?

Structural Equation Modeling (SEM) simultaneously estimates a measurement model (CFA: how latent variables are measured) and a structural model (causal paths between latent variables). It handles multiple dependent variables, mediating paths, and measurement error — all in a single framework.

Two-Step Approach

Anderson & Gerbing's recommended approach: (1) First establish an acceptable measurement model via CFA. (2) Then add structural paths. This separates measurement quality from structural relationships.

Running SEM in AMOS

Step 1: Validate each construct's measurement model separately via CFA first.
Step 2: In the full AMOS diagram, connect latent variables with single-headed arrows (causal paths).
Step 3: For indirect effects: Analysis Properties → Bootstrap → 5000 samples → Bias-corrected confidence intervals.
Step 4: Evaluate fit with CFI, RMSEA, SRMR.
SPSS Academy Output Viewer SEM Standardized Path Coefficients Path β SE CR p Job Satisfaction → Performance .421 .082 5.13 .000* Stress → Job Satisfaction -.384 .091 -4.22 .000* Stress → Performance (indirect) -.162 .048 -3.38 .001* * p < .05 anlamlı sonuç gösterir

📸 SEM standardized path coefficients and indirect effects

APA Reporting

SEM demonstrated acceptable model fit (CFI=.942, RMSEA=.063). The structural model revealed a significant indirect effect of stress on performance through job satisfaction (β=-.162, p=.001, bootstrap 95% CI [-.248, -.072]), supporting partial mediation.

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