The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Item factor analysis: Current approaches and future directions.
Open accessAbstract
The rationale underlying factor analysis applies to continuous and categorical variables alike; however, the models and estimation methods for continuous (i.e., interval or ratio scale) data are not appropriate for item-level data that are categorical in nature. The authors provide a targeted review and synthesis of the item factor analysis (IFA) estimation literature for ordered-categorical data (e.g., Likert-type response scales) with specific attention paid to the problems of estimating models with many items and many factors. Popular IFA models and estimation methods found in the structural equation modeling and item response theory literatures are presented. Following this presentation, recent developments in the estimation of IFA parameters (e.g., Markov chain Monte Carlo) are discussed. The authors conclude with considerations for future research on IFA, simulated examples, and advice for applied researchers.
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Cites
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Cited by
Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V. (2012) · Psychological Methods · doi:10.1037/a0029315 · Cited by 2,816
mirt: A Multidimensional Item Response Theory Package for the R Environment
Chalmers, R. P. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i06 · Cited by 2,643
The Rediscovery of Bifactor Measurement Models
Reise, S. P. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.715555 · Cited by 2,112
“One approach to implementing this model simply is to replace Pearson correlations with tetrachoric or polychoric correlations and then conduct a limitedinformation factor analysis (e.g., weighted least squares; see Wirth & Edwards, 2007).”
Weathers, F. W., Bovin, M. J., Lee, D. J., Sloan, D. M., Schnurr, P. P., Kaloupek, D. G., Keane, T. M., & Marx, B. P. (2018) · Psychological Assessment · doi:10.1037/pas0000486 · Cited by 1,799
Integrative data analysis: The simultaneous analysis of multiple data sets
Curran, P. J., & Hussong, A. M. (2009) · Psychological Methods · doi:10.1037/a0015914 · Cited by 867
Metadata
- Authors
- Wirth, R. J., & Edwards, M. C.
- Venue
- Psychological Methods
- Published
- 2007-03
- Volume
- 12
- Issue
- 1
- Pages
- 58-79
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2100223629
- Cited by
- 910
- References
- 76
- FWCI
- 25.75
- Type
- journal article
- Language
- en
- Open access
- green
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