The DOI matches its Crossref record; 176 of the 176 references it cites were found in a registry or an index.
The phenomenology of fit: Linking the person and environment to the subjective experience of person-environment fit.
Abstract
The authors distinguished 3 approaches to the study of perceived person-environment fit (P-E fit): (a) atomistic, which examines perceptions of the person and environment as separate entities; (b) molecular, which concerns the perceived comparison between the person and environment; and (c) molar, which focuses on the perceived similarity, match, or fit between the person and environment. Distinctions among these approaches have fundamental implications for theory, measurement, and the subjective experience of P-E fit, yet research has treated these approaches as interchangeable. This study investigated the meaning and relationships among the atomistic, molecular, and molar approaches to fit and examined factors that influence the strength of these relationships. Results showed that the relationships among the approaches deviate markedly from the theoretical logic that links them together. Supplemental analyses indicated that molar fit overlaps with affect and molecular fit gives different weight to atomistic person and environment information depending on how the comparison is framed. These findings challenge fundamental assumptions underlying P-E fit theories and have important implications for future research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,654
Advances In Experimental Social Psychology
(2022) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(22)x0002-6 · Cited by 22,259
A Simple Sequentially Rejective Multiple Test Procedure
(1979) · Scandinavian Journal of Statistics · doi:10.2307/4615733 · Cited by 21,526
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology · doi:10.2307/2072165 · Cited by 17,442
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,277
Handbook of Industrial and Organizational Psychology.
Hammer, T. H., Anderson, J., Gurdon, M., Jick, T., Petit, A., Stern, R., Schwartz, H., Vardi, Y., & Dunnette, M. D. (1977) · Administrative Science Quarterly · doi:10.2307/2391755 · Cited by 11,945
Review of Psychometric theory (2nd ed.).
SITGREAVES, R. (1979) · Contemporary Psychology: A Journal of Reviews · doi:10.1037/018882 · Cited by 11,425
Cited by
Best-practice recommendations for defining, identifying, and handling outliers
Aguinis, H., Gottfredson, R. K., & Joo, H. (2013) · Organizational Research Methods · doi:10.1177/1094428112470848 · Cited by 1,341
Grant, A. M. (2008) · Journal of Applied Psychology · doi:10.1037/0021-9010.93.1.108 · Cited by 1,114
Casper, W. J., Vaziri, H., Wayne, J. H., DeHauw, S., & Greenhaus, J. (2018) · Journal of Applied Psychology · doi:10.1037/apl0000259 · Cited by 348
Bellé, N. (2014) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mut033 · Cited by 332
Wohlers, C., & Hertel, G. (2017) · Ergonomics · doi:10.1080/00140139.2016.1188220 · Cited by 223
Metadata
- Authors
- Edwards, J. R., Cable, D. M., Williamson, I. O., Lambert, L. S., & Shipp, A. J.
- Venue
- Journal of Applied Psychology
- Published
- 2006-07
- Volume
- 91
- Issue
- 4
- Pages
- 802-827
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W2150407421
- Cited by
- 659
- References
- 176
- FWCI
- 26.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The phenomenology of fit: Linking the person and environment to the subjective experience of person-environment fit. https://app.cochat.ai/papers/10.1037/0021-9010.91.4.802
- The paper
- Edwards, J. R., Cable, D. M., Williamson, I. O., Lambert, L. S., & Shipp, A. J. (2006). The phenomenology of fit: Linking the person and environment to the subjective experience of person-environment fit. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.91.4.802
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
