Reporting practices in confirmatory factor analysis: an overview and some recommendations.
By Dennis L. Jackson, J. A. Gillaspy, Rebecca Purc-Stephenson. Psychological methods, 2009
2,166 citations recorded by the source corpus.
Subfields: Applied Psychology, Management Science and Operations Research, Social Psychology
View Paper: https://www.semanticscholar.org/paper/bc57deeeb3991496ac37d6c8e86699b935614737
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Psychology
- R. Federici
- Dae Yeop Kim
- Albert Maydeu-Olivares
- Yo In’nami
- Tom Tyler
- Lisa M. Jones
- Detmar W. Straub Jr.
- Kimberly J. Mitchell
In Management Science and Operations Research
- Dexin Shi
- Albert Maydeu-Olivares
- Christian M. Ringle
- Taehun Lee
- Marko Sarstedt
- Cheng-Hsien Li
- C. Distefano
- Heather L. McDaniel
In Social Psychology
Citations in the corpus
- Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares (2016, background): “Jackson, Gillaspy, and Purc-Stephenson (2009) reviewed 194 studies from 1998 to 2006 and found that the most commonly tested CFA models were correlated-factor models (50.5 %), followed by orthogonal (12.0 %), hierarchical (10.6 %), single-factor (9.5 %), and so on.”
- Applications of structural equation modeling (SEM) in ecological studies: an updated review (2016, background): “The reporting guidelines are comprised of five components (McDonald and Ho 2002; Jackson et al. 2009; Kline 2010; Hoyle and Isherwood 2013): 1.”
- Intrinsic Motivation and Engagement as “Active Ingredients” in Garden-Based Education: Examining Models and Measures Derived From Self-Determination Theory (2012, methodology): “Multiple fit indices were used to gauge the model-sample discrepancy, which reflects the difference between the predicted covariances and the sample covariances (Hu & Bentler, 1999 ; Jackson, Gillaspy, & Purc-Stephenson, 2009 ): CMIN/DF (more commonly known as χ 2 /DF) with a desirable ratio of le”
- Teacher Progress Monitoring of Instructional and Behavioral Management Practices: An Evidence-Based Approach to Improving Classroom Practices (2014, methodology): “As described in Reddy et al. (2013b), several fit indices including x2/df, Root Mean Square Error of Approximation (RMSEA), adjusted goodness of fit index (AGFI), and goodness of fit index (GFI) recommended by Jackson et al. (2009) were used to test the fit to the data.”
- Minority Stressors and Psychological Distress in Transgender Individuals (2017, positive): “Significance of differences in model fit were tested for nested models using chi-square difference tests and the better-fitting model was that with the lowest Akaike Information Criterion (AIC; Jackson et al., 2009).”
- Assessing Workgroup Norms for Civility: The Development of the Civility Norms Questionnaire-Brief (2012, methodology): “Some have questioned strict adherence to cut points for fit indices (e.g., Chen, Curran, Bollen, Kirby, & Paxton, 2008; Marsh, Hau, & Wen, 2004), so we also considered the strength of the factor loadings as recommended by Jackson, Gillaspy, and Purc-Stephenson (2009).”
- Understanding the Model Size Effect on SEM Fit Indices (2018, background): “Jackson, Gillaspy, and Purc-Stephenson (2009) reviewed roughly 194 published studies and found that the median number of observed items included in the models was 17, and 25% of models included more than 24 items.”