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Original Article

Challenging the Multidimensional Conception of Perceived Person-Environment Fit

Are Specific Fit Dimensions Related to Educational Outcomes Beyond a Higher-Order Factor?

Published Online:https://doi.org/10.1027/1015-5759/a000622

Abstract. In the current study, we examined the viability of a multidimensional conception of perceived person-environment (P-E) fit in higher education. We introduce an optimized 12-item measure that distinguishes between four content dimensions of perceived P-E fit: interest-contents (I-C) fit, needs-supplies (N-S) fit, demands-abilities (D-A) fit, and values-culture (V-C) fit. The central aim of our study was to examine whether the relationships between different P-E fit dimensions and educational outcomes can be accounted for by a higher-order factor that captures the shared features of the four fit dimensions. Relying on a large sample of university students in Germany, we found that students distinguish between the proposed fit dimensions. The respective first-order factors shared a substantial proportion of variance and conformed to a higher-order factor model. Using a newly developed factor extension procedure, we found that the relationships between the first-order factors and most outcomes were not fully accounted for by the higher-order factor. Rather, with the exception of V-C fit, all specific P-E fit factors that represent the first-order factors’ unique variance showed reliable and theoretically plausible relationships with different outcomes. These findings support the viability of a multidimensional conceptualization of P-E fit and the validity of our adapted instrument.

References

  • Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 397–438. https://doi.org/10.1080/10705510903008204 First citation in articleCrossrefGoogle Scholar

  • Badger Darrow, J., & Behrend, T. S. (2017). Person-environment fit is a formative construct. Journal of Vocational Behavior, 103, 117–131. https://doi.org/10.1016/j.jvb.2017.08.007 First citation in articleCrossrefGoogle Scholar

  • Bohndick, C., Rosman, T., Kohlmeyer, S., & Buhl, H. M. (2018). The interplay between subjective abilities and subjective demands and its relationship with academic success. An application of the person–environment fit theory. Higher Education, 75(5), 839–854. https://doi.org/10.1007/s10734-017-0173-6 First citation in articleCrossrefGoogle Scholar

  • Cable, D. M., & DeRue, D. S. (2002). The convergent and discriminant validity of subjective fit perceptions. Journal of Applied Psychology, 87(5), 875–884. https://doi.org/10.1037/0021-9010.87.5.875 First citation in articleCrossrefGoogle Scholar

  • Cable, D. M., & Judge, T. A. (1996). Person–organization fit, job choice decisions, and organizational entry. Organizational Behavior and Human Decision Processes, 67(3), 294–311. https://doi.org/10.1006/obhd.1996.0081 First citation in articleCrossrefGoogle Scholar

  • Chen, F. F., West, S., & Sousa, K. (2006). A comparison of bifactor and second-order models of quality of life. Multivariate Behavioral Research, 41(2), 189–225. https://doi.org/10.1207/s15327906mbr4102_5 First citation in articleCrossrefGoogle Scholar

  • Chou, C.-P., Bentler, P. M., & Satorra, A. (1991). Scaled test statistics and robust standard errors for non‐normal data in covariance structure analysis: A Monte Carlo study. British Journal of Mathematical and Statistical Psychology, 44(2), 347–357. https://doi.org/10.1111/j.2044-8317.1991.tb00966.x First citation in articleCrossrefGoogle Scholar

  • Dawis, R., & Lofquist, L. (1984). A psychological theory of work adjustment, University of Minnesota Press. First citation in articleGoogle Scholar

  • Edwards, J. R., & Cable, D. M. (2009). The value of value congruence. Journal of Applied Psychology, 94(3), 654–677. https://doi.org/10.1037/a0014891 First citation in articleCrossrefGoogle Scholar

  • 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, 91(4), 802–827. https://doi.org/10.1037/0021-9010.91.4.802 First citation in articleCrossrefGoogle Scholar

  • Etzel, J. M., & Nagy, G. (2016). Students’ perceptions of person-environment fit: Do fit perceptions predict academic success beyond personality traits? Journal of Career Assessment, 24(2), 270–288. https://doi.org/10.1177/1069072715580325 First citation in articleCrossrefGoogle Scholar

  • Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments (3rd ed.). Psychological Assessment Resources. First citation in articleGoogle Scholar

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118 First citation in articleCrossrefGoogle Scholar

  • Kristof-Brown, A. L., Zimmermann, R. D., & Johnson, E. C. (2005). Consequences of individuals’ fit at work: A Meta-analysis of person-job, person-organization, person-group, and person-supervisor fit. Personnel Psychology, 58(2), 281–342. https://doi.org/10.1111/j.1744-6570.2005.00672.x First citation in articleCrossrefGoogle Scholar

  • Li, Y., Yao, X., Chen, K., & Wang, Y. (2013). Different fit perceptions in an academic environment. Journal of Career Assessment, 21(2), 163–174. https://doi.org/10.1177/1069072712466713 First citation in articleCrossrefGoogle Scholar

  • Lubinski, D., & Benbow, C. P. (2000). States of excellence. American Psychologist, 55(1), 137–150. https://doi.org/10.1037/0003-066X.55.1.137 First citation in articleCrossrefGoogle Scholar

  • Marsh, H. W., Lüdtke, O., Muthén, B., Asparouhov, T., Morin, A. J. S., Trautwein, U., & Nagengast, B. (2010). A new look at the Big Five factor structure through exploratory structural equation modeling. Psychological Assessment, 22(3), 471–491. https://doi.org/10.1037/a0019227 First citation in articleCrossrefGoogle Scholar

  • Morin, A. J. S., & Asparouhov, T. (2018). Estimation of a hierarchical Exploratory Structural Equation Model (ESEM) using ESEM-within-CFA. Substantive Methodological Synergy Research Laboratory. First citation in articleGoogle Scholar

  • Muthén, B. O., & Muthén, L. K. (2018). Mplus user’s guide (8th ed.). Muthén & Muthén. First citation in articleGoogle Scholar

  • Nagy, G. (2006). Berufliche Interessen, kognitive und fachgebundene Kompetenzen: Ihre Bedeutung für die Studienfachwahl und die Bewährung im Studium [Vocational interests, cognitive and scholastic abilities: Their role in choice of major and success at university]. Freie Universität Berlin. First citation in articleGoogle Scholar

  • Nagy, G., Brunner, M., Lüdtke, O., & Greiff, S. (2017). Extension procedures for confirmatory factor analysis. Journal of Experimental Education, 85(4), 574–596. https://doi.org/10.1080/00220973.2016.1260524 First citation in articleCrossrefGoogle Scholar

  • Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544. https://doi.org/10.1177/014920638601200408 First citation in articleCrossrefGoogle Scholar

  • Schmitt, N., Oswald, F. L., Friede, A., Imus, A., & Merritt, S. (2008). Perceived fit with an academic environment: Attitudinal and behavioral outcomes. Journal of Vocational Behavior, 72(3), 317–335. https://doi.org/10.1016/j.jvb.2007.10.007 First citation in articleCrossrefGoogle Scholar

  • Westermann, R., Heise, E., Spies, K., & Trautwein, U. (1996). Identifikation und Erfassung von Komponenten der Studienzufriedenheit [Identifying and assessing components of student satisfaction]. Psychologie in Erziehung und Unterricht, 43, 1–22. First citation in articleGoogle Scholar