The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.
Putting the “Person” in the Center: Review and Synthesis of Person-Centered Approaches and Methods in Organizational Science
Abstract
This article provides a review and synthesis of person-centered analytic (i.e., clustering) methods in organizational psychology with the aim of (a) placing them into an organizing framework to facilitate analysis and interpretation and (b) constructing a set of practical recommendations to guide future person-centered research. To do so, we first clarify the terminological and conceptual issues that still cloud person-centered approaches. Next, we organize the diverse kinds of person-centered analyses into two major statistical approaches, algorithmic and latent-variable approaches. We then present a literature review that quantifies how these two approaches have been used within our field, identifying trends over time and typical study characteristics. Out of this review, we construct a unifying taxonomy of the five ways in which clusters are differentiated: (1) construct-based patterns, (2) response-style patterns, (3) predictive relations, (4) growth trajectories, and (5) measurement models. We also provide a set of practical guidelines for researchers and highlight a few remaining questions and/or areas in which future work is needed for further advancing person-centered methodologies.
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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
Das Swain, V., Saha, K., Abowd, G. D., & De Choudhury, M. (2020) · 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI) · doi:10.1109/cogmi50398.2020.00025 · Cited by 38
Interest–Ability Profiles: An Integrative Approach to Knowledge Acquisition
Hyland, W. E., Hoff, K. A., & Rounds, J. (2022) · Journal of Intelligence · doi:10.3390/jintelligence10030043 · Cited by 21
Metadata
- Authors
- Woo, S. E., Jebb, A. T., Tay, L., & Parrigon, S.
- Venue
- Organizational Research Methods
- Publisher
- SAGE Publications
- Published
- 2018-01-22
- Volume
- 21
- Issue
- 4
- Pages
- 814-845
- ISSN
- 1094-4281 (ISSN-L)
- 1552-7425
- OpenAlex
- W2786503765
- Cited by
- 308
- References
- 127
- FWCI
- 9.79
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
