The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Latent Class Procedures: Applications to Organizational Research
Abstract
In this overview, the authors use the seven studies included in the feature topic as a platform to delineate three areas that latent class procedures are particularly useful for in advancing the field of organizational research. The first topic area focuses on dealing with the need to identify and understand unobserved subpopulations in organizational research. The second topic area focuses on recognizing the unobserved heterogeneity in measurement functioning. The third topic area focuses on addressing the challenges surrounding the existence of multiple longitudinal change (both quantitative and qualitative) patterns in organizational research. The authors conclude this overview by highlighting further thoughts on the ways that latent class procedures should be utilized to advance organizational research.
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Cites
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415
Vandenberg, R. J., & Lance, C. E. (2000) · Organizational Research Methods · doi:10.1177/109442810031002 · Cited by 7,997
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
(2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511499531 · Cited by 1,958
Vermunt, J. K., & Magidson, J. (2002) · Applied Latent Class Analysis · doi:10.1017/cbo9780511499531.004 · Cited by 1,739
Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
Muthén, B. (2004) · The SAGE Handbook of Quantitative Methodology for the Social Sciences · doi:10.4135/9781412986311.n19 · Cited by 1,534
Longitudinal Research: The Theory, Design, and Analysis of Change
Ployhart, R. E., & Vandenberg, R. J. (2010) · Journal of Management · doi:10.1177/0149206309352110 · Cited by 1,496
Latent Variable Models and Factor Analysis: A Unified Approach
Bartholomew, D., Knott, M., & Moustaki, I. (2011) · Wiley Series in Probability and Statistics · doi:10.1002/9781119970583 · Cited by 842
Statistical and Substantive Checking in Growth Mixture Modeling: Comment on Bauer and Curran (2003).
Muthén, B. (2003) · Psychological Methods · doi:10.1037/1082-989x.8.3.369 · Cited by 690
Wang, M. (2007) · Journal of Applied Psychology · doi:10.1037/0021-9010.92.2.455 · Cited by 671
Self-citation
Cited by
Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2020.103445 · Cited by 2,119
Self-citationLanders, R. N., & Behrend, T. S. (2015) · Industrial and Organizational Psychology · doi:10.1017/iop.2015.13 · Cited by 714
Multiple-Group Analysis of Similarity in Latent Profile Solutions
Morin, A. J. S., Meyer, J. P., Creusier, J., & Biétry, F. (2016) · Organizational Research Methods · doi:10.1177/1094428115621148 · Cited by 664
A person‐centered approach to commitment research: Theory, research, and methodology
Meyer, J. P., & Morin, A. J. S. (2016) · Journal of Organizational Behavior · doi:10.1002/job.2085 · Cited by 487
Woo, S. E., Jebb, A. T., Tay, L., & Parrigon, S. (2018) · Organizational Research Methods · doi:10.1177/1094428117752467 · Cited by 308
Metadata
- Authors
- Wang, M., & Hanges, P. J.
- Venue
- Organizational Research Methods
- Publisher
- SAGE Publications
- Published
- 2010-12-10
- Volume
- 14
- Issue
- 1
- Pages
- 24-31
- ISSN
- 1094-4281 (ISSN-L)
- 1552-7425
- OpenAlex
- W2329362257
- Cited by
- 438
- References
- 29
- FWCI
- 8.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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