Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis

Thomas A. Schmitt

981 citations0/0 files storedJournal of Psychoeducational Assessment

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Psychometric Methodologies and Testing Statistical Methods and Applications Mental Health Research Topics

Abstract

Researchers must make numerous choices when conducting factor analyses, each of which can have significant ramifications on the model results. They must decide on an appropriate sample size to achieve accurate parameter estimates and adequate power, a factor model and estimation method, a method for determining the number of factors and evaluating model fit, and a rotation criterion. Unfortunately, researchers continue to use outdated methods in each of these areas. The present article provides a current overview of these areas in an effort to provide researchers with up-to-date methods and considerations in both exploratory and confirmatory factor analysis. A demonstration was provided to illustrate current approaches. Choosing between confirmatory and exploratory methods is also discussed, as researchers often make incorrect assumptions about the application of each.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 981 citations exist upstream.

References

1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1992Alternative Ways of Assessing Model Fit 1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.2007Confirmatory factor analysis for applied research 1998Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.1996Power analysis and determination of sample size for covariance structure modeling.2020Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis

Cited by

2019Exploratory factor analysis: Current use, methodological developments and recommendations for good practice 2013On exploratory factor analysis: A review of recent evidence, an assessment of current practice, and recommendations for future use 2011Testing Measurement Invariance and Comparing Latent Factor Means Within a Confirmatory Factor Analysis Framework 2018Translation and validation of body image instruments: Challenges, good practice guidelines, and reporting recommendations for test adaptation

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.