Method evidence record
Model Testing Research
Model testing research is a confirmatory quantitative design in which the researcher specifies a theoretical model — depicting hypothesized relationships among constructs — and then tests how well that model fits empirical data. Drawing primarily on structural equation modeling (SEM) and confirmatory factor analysis (CFA), it evaluates whether the data-implied covariance structure is consistent with the theoretically derived one, yielding fit indices that indicate model-data correspondence.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Model Testing Research Design
Taxonomic method recordprocess-pipelineresearch-design
Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press. · ISBN 978-1462523344
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
This view does not invent a claim assessment when the ledger has none.
Related methods
Suggested5
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketCausal-Comparative Research
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketConfirmatory Research
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketExplanatory Research
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketHypothesis Testing Research
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketLongitudinal Research
machine-suggestedRelational suggestion, not evidence.