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Who is this guide for? This page is written for users searching for Confirmatory Factor Analysis (CFA) in AMOS: A Practical Guide who need a clear, trustworthy and practical explanation rather than a generic sales message. It clarifies what can be supported ethically, which files are useful, and how to move from uncertainty to a defined consulting brief.
📸 CFA in AMOS — IBM SPSS's structural equation modeling module
CFA vs. EFA: The Key Distinction
Exploratory Factor Analysis (EFA) discovers factor structures from data. Confirmatory Factor Analysis (CFA) tests a pre-specified factor structure against the data. CFA is used in scale validation, measurement model testing before SEM, and replications of previous EFA findings.
Model Fit Criteria
- CFI ≥ .90 (good); ≥ .95 (excellent)
- RMSEA ≤ .08 (acceptable); ≤ .05 (good) with narrow 90% CI
- SRMR ≤ .08 (good)
- χ²/df ≤ 3 (good)
Running CFA in AMOS
📸 CFA model fit indices — all thresholds met
APA Reporting
CFA indicated acceptable model fit for the 3-factor measurement model: χ²/df=2.41, CFI=.947, RMSEA=.061 (90% CI [.048, .074]), SRMR=.054. All factor loadings were statistically significant (λ=.61–.88, all p<.001).
Reliability, ethical boundaries and quality control
For Confirmatory Factor Analysis (CFA) in AMOS: A Practical Guide, the quality criterion is not keyword density; it is whether the reader can make a safer, better-informed decision. Boss Academy keeps academic ownership with the researcher and focuses on transparent consulting, methodological clarity and deliverables that can be explained during supervisor, jury or reviewer evaluation.
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