Skip to main content
Open AccessOriginal Article

Who is Flexible and Adaptive in Everyday Life?

Three Facets of Flexibility and Development of the Flexibility Scale (FS-24)

Published Online:https://doi.org/10.1027/2698-1866/a000047

Abstract.Background: How flexible people react to changes, and adapt their behavior and plans, seems to be crucial in modern society. Nevertheless, no common conceptualization of flexibility exists in the psychological literature. Our work contributes to the scientific understanding of flexibility as a personality trait and offers a novel flexibility questionnaire. Methods and Results: An explorative study (N = 279) examined three individual-difference concepts of flexibility and their relations with the Big Five personality traits. The results suggested that flexibility consists of predictability, adaptability, and orderliness can be assessed with 24 items (FS-24) and is distinguishable from the Big Five. A confirmatory study (N = 188) replicated the three flexibility components and showed good test–retest reliability for the FS-24. Convergent and discriminant validity of the instruments need further scrutiny. Limitations: The present study is limited due to self-reports, and the specificity and size of the sample, which could be addressed in future studies. Conclusions: The FS-24 showed promising psychometric properties. The questionnaire has useful applications in personality research, organizational development, and counseling.

References

  • Ananiadou, K., & Claro, M. (2009). 21st Century skills and competencies for new millennium learners in OECD countries. OECD Publishing. 10.1787/218525261154 First citation in articleCrossrefGoogle Scholar

  • Baard, S. K., Rench, T. A., & Kozlowski, S. W. J. (2014). Performance adaptation: A theoretical integration and review. Journal of Management, 40(1), 48–99. 10.1177/0149206313488210 First citation in articleCrossrefGoogle Scholar

  • Bernaards, C. A., & Jennrich, R. I. (2005). Gradient projection algorithms and software for arbitrary rotation criteria in factor analysis. Educational and Psychological Measurement, 65(5), 676–696. 10.1177/0013164404272507 First citation in articleCrossrefGoogle Scholar

  • Bitterwolf, W. (1992). Flexibilität des Handelns: Empirische Untersuchungen zu einem Persönlichkeitskonstrukt [Flexibility of action: Empirical study of a personality construct]. Roderer. First citation in articleGoogle Scholar

  • Bond, F. W., Lloyd, J., & Guenole, N. (2013). The work-related acceptance and action questionnaire: Initial psychometric findings and their implications for measuring psychological flexibility in specific contexts. Journal of Occupational and Organizational Psychology, 86(3), 331–347. 10.1111/joop.12001 First citation in articleCrossrefGoogle Scholar

  • Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 1–9. 10.7275/jyj1-4868 First citation in articleCrossrefGoogle Scholar

  • Danner, D., Rammstedt, B., Bluemke, M., Lechner, C., Berres, S., Knopf, T., Soto, C. J., & John, O. P. (2019). Das Big Five Inventar 2: Validierung eines Persönlichkeitsinventars zur Erfassung von 5 Persönlichkeitsdomänen und 15 Facetten [The Big Five Inventory 2: Validation of a personality inventory to assess the five personality domains and 15 facets]. Diagnostica, 65(3), 121–132. 10.1026/0012-1924/a000218 First citation in articleLinkGoogle Scholar

  • DeYoung, C. G., Quilty, L. C., & Peterson, J. B. (2007). Between facets and domains: 10 aspects of the Big Five. Journal of Personality and Social Psychology, 93(5), 880–896. 10.1037/0022-3514.93.5.880 First citation in articleCrossrefGoogle Scholar

  • Dueber, D. M., Toland, M. D., Lingat, J. E., Love, A. M., Qiu, C., Wu, R., & Brown, A. V. (2022). To reverse item orientation or not to reverse item orientation, that is the question. Assessment, 29(7), 1422–1440. 10.1177/10731911211017635 First citation in articleCrossrefGoogle Scholar

  • Dworak, E. M., Revelle, W., Doebler, P., & Condon, D. M. (2021). Using the international cognitive ability resource as an open source tool to explore individual differences in cognitive ability. Personality and Individual Differences, 169, Article 109906. 10.1016/j.paid.2020.109906 First citation in articleCrossrefGoogle Scholar

  • Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. 10.3758/BF03193146 First citation in articleCrossrefGoogle Scholar

  • Ferrando, P. J., & Lorenzo-Seva, U. (2018). Assessing the quality and appropriateness of factor solutions and factor score estimates in exploratory item factor analysis. Educational and Psychological Measurement, 78(5), 762–780. 10.1177/0013164417719308 First citation in articleCrossrefGoogle Scholar

  • Gignac, G. E., & Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and Individual Differences, 102, 74–78. 10.1016/j.paid.2016.06.069 First citation in articleCrossrefGoogle Scholar

  • Hamtiaux, A., Houssemand, C., & Vrignaud, P. (2013). Individual and career adaptability: Comparing models and measures. Journal of Vocational Behavior, 83(2), 130–141. 10.1016/j.jvb.2013.03.006 First citation in articleCrossrefGoogle Scholar

  • Hayes, S. C., Luoma, J. B., Bond, F. W., Masuda, A., & Lillis, J. (2006). Acceptance and Commitment Therapy: Model, processes and outcomes. Behaviour Research and Therapy, 44(1), 1–25. 10.1016/j.brat.2005.06.006 First citation in articleCrossrefGoogle Scholar

  • Horn, J. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. 10.1007/BF02289447 First citation in articleCrossrefGoogle Scholar

  • Hossiep, R., & Paschen, M. (1998). Das Bochumer Inventar zur berufsbezogenen Persönlichkeitsbeschreibung (BIP) [Business-Focused Inventory of Personality]. Hogrefe. First citation in articleGoogle Scholar

  • International Test Commission. (2017). The ITC guidelines for translating and adapting tests (2nd ed.). https://www.intestcom.org/files/guideline_test_adaptation_2ed.pdf First citation in articleGoogle Scholar

  • Ionescu, T. (2012). Exploring the nature of cognitive flexibility. New Ideas in Psychology, 30(2), 190–200. 10.1016/j.newideapsych.2011.11.001 First citation in articleCrossrefGoogle Scholar

  • Jeffreys, H. (1961). Theory of probability (3rd ed.). Oxford University Press. First citation in articleGoogle Scholar

  • Kenny, D. A., & McCoach, D. B. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 10(3), 333–351. 10.1207/S15328007SEM1003_1 First citation in articleCrossrefGoogle Scholar

  • Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press. First citation in articleGoogle Scholar

  • Kretzschmar, A., & Gignac, G. E. (2019). At what sample size do latent variable correlations stabilize? Journal of Research in Personality, 80, 17–22. 10.1016/j.jrp.2019.03.007 First citation in articleCrossrefGoogle Scholar

  • Lavy, S. (2020). A review of character strengths interventions in twenty-first-century schools: Their importance and how they can be fostered. Applied Research in Quality of Life, 15(2), 573–596. 10.1007/s11482-018-9700-6 First citation in articleCrossrefGoogle Scholar

  • Ly, A., Verhagen, A. J., & Wagenmakers, E.-J. (2015). Harold Jeffreys’s default Bayes Factor hypothesis tests: Explanation, extension, and application in psychology. Journal of Mathematical Psychology, 72, 19–32. 10.1016/j.jmp.2015.06.004 First citation in articleCrossrefGoogle Scholar

  • Martin, A. J., Nejad, H., Colmar, S., & Liem, G. A. D. (2012). Adaptability: Conceptual and empirical perspectives on responses to change, novelty and uncertainty. Australian Journal of Guidance and Counselling, 22(1), 58–81. 10.1017/jgc.2012.8 First citation in articleCrossrefGoogle Scholar

  • Martin, M. M., & Rubin, R. B. (1995). A new measure of cognitive flexibility. Psychological Reports, 76(2), 623–626. 10.2466/pr0.1995.76.2.623 First citation in articleCrossrefGoogle Scholar

  • Morey, R. D., & Rouder, J. N. (2021). BayesFactor: Computation of Bayes factors for common designs (R package version 0.9.12-4.3). https://CRAN.R-project.org/package=BayesFactor First citation in articleGoogle Scholar

  • Ohly, S., Sonnentag, S., Niessen, C., & Zapf, D. (2010). Diary studies in organizational research: An introduction and some practical recommendations. Journal of Personnel Psychology, 9(2), 79–93. 10.1027/1866-5888/a000009 First citation in articleLinkGoogle Scholar

  • Paulhus, D. L., & Martin, C. L. (1988). Functional flexibility: A new conception of interpersonal flexibility. Journal of Personality and Social Psychology, 55(1), 88–101. 10.1037/0022-3514.55.1.88 First citation in articleCrossrefGoogle Scholar

  • Peiró, J. M. (2019, July 29–August 2). Wellbeing at work: From the study of individual differences to the analysis of intraindividual change. The role of personality [Conference presentation]. ISSID 2019, Florence, Italy. First citation in articleGoogle Scholar

  • Ployhart, R., & Bliese, P. (2006). Individual Adaptability (I-ADAPT) Theory: Conceptualizing the antecedents, consequences, and measurement of individual differences in adaptability. In C. S. BurkeL. G. PierceE. Salas (Eds.), Advances in human performance and cognitive engineering research (Vol. 6, pp. 3–39). Elsevier. 10.1016/S1479-3601(05)06001-7 First citation in articleCrossrefGoogle Scholar

  • R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org First citation in articleGoogle Scholar

  • Revelle, W. (2020). psych: Procedures for psychological, psychometric, and personality research (R package version 2.0.8). https://CRAN.R-project.org/package=psych First citation in articleGoogle Scholar

  • Revelle, W., Condon, D. M., Wilt, J., French, J. A., Brown, A., & Elleman, L. G. (2017). Web- and phone-based data collection using planned missing designs. In N. G. FieldingR. M. LeeG. Blank (Eds.), The Sage handbook of online research methods (pp. 578–594). Sage Publications Ltd. 10.4135/9781473957992.n33 First citation in articleCrossrefGoogle Scholar

  • Revelle, W., & Rocklin, T. (1979). Very Simple Structure: An alternative procedure for estimating the optimal number of interpretable factors. Multivariate Behavioral Research, 14(4), 403–414. 10.1207/s15327906mbr1404_2 First citation in articleCrossrefGoogle Scholar

  • Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. 10.18637/jss.v048.i02 First citation in articleCrossrefGoogle Scholar

  • Ruch, W., Proyer, R. T., Harzer, C., Park, N., Peterson, C., & Seligman, M. E. P. (2010). Values in Action Inventory of Strengths (VIA-IS): Adaptation and validation of the German version and the development of a peer-rating form. Journal of Individual Differences, 31(3), 138–149. 10.1027/1614-0001/a000022 First citation in articleLinkGoogle Scholar

  • Savickas, M. L. (1997). Career adaptability: An integrative construct for life-span, life-space theory. The Career Development Quarterly, 45(3), 247–259. 10.1002/j.2161-0045.1997.tb00469.x First citation in articleCrossrefGoogle Scholar

  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74. First citation in articleGoogle Scholar

  • Schmitt, N., & Chan, D. (2014). Adapting to rapid changes at work: Definitions, measures, and research. In D. Chan (Ed.), Individual adaptability to changes at work (pp. 1–14). Routledge. First citation in articleGoogle Scholar

  • Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47(5), 609–612. 10.1016/j.jrp.2013.05.009 First citation in articleCrossrefGoogle Scholar

  • Seibert, S. E., Crant, J. M., & Kraimer, M. L. (1999). Proactive personality and career success. Journal of Applied Psychology, 84(3), 416–427. 10.1037/0021-9010.84.3.416 First citation in articleCrossrefGoogle Scholar

  • Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, 113(1), 117–143. 10.1037/pspp0000096 First citation in articleCrossrefGoogle Scholar

  • Stahlmann, A. G., & Ruch, W. (2020). Scrutinizing the criteria for character strengths: Laypersons assert that every strength is positively morally valued, even in the absence of tangible outcomes. Frontiers in Psychology, 11, Article 591028. 10.3389/fpsyg.2020.591028 First citation in articleCrossrefGoogle Scholar

  • van Dam, K., & Meulders, M. (2020). The Adaptability Scale. European Journal of Psychological Assessment, 37(2), 123–134. 10.1027/1015-5759/a000591 First citation in articleLinkGoogle Scholar

  • Velicer, W. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41(3), 321–327. 10.1007/BF02293557 First citation in articleCrossrefGoogle Scholar

  • Vylobkova, V. (2023). Who is flexible and adaptive in everyday life? Three facets of flexibility and development of the Flexibility Scale (FS-24) [Open data]. https://osf.io/u43hp/ First citation in articleGoogle Scholar

  • Vylobkova, V. & Heintz, S. (2023). A meeting of positive behaviors: The relations of three aspects of flexibility with character strengths. Frontiers in Psychology, 13, Article 1078764. 10.3389/fpsyg.2022.1078764 First citation in articleCrossrefGoogle Scholar

  • Vylobkova, V., Heintz, S., Gander, F., Wagner, L., & Ruch, W. (2023). Convergence and psychometric properties of character strengths measures: The VIA-IS and the VIA-IS-R. Journal of Personality Assessment, 105(1), 14–21. 10.1080/00223891.2022.2044342 First citation in articleCrossrefGoogle Scholar

  • Waldeck, D., Pancani, L., Holliman, A., Karekla, M., & Tyndall, I. (2021). Adaptability and psychological flexibility: Overlapping constructs? Journal of Contextual Behavioral Science, 19, 72–78. 10.1016/j.jcbs.2021.01.002 First citation in articleCrossrefGoogle Scholar

  • Weijters, B., & Baumgartner, H. (2012). Misresponse to reversed and negated items in surveys: A review. Journal of Marketing Research, 49(5), 737–747. 10.1509/jmr.11.0368 First citation in articleCrossrefGoogle Scholar

  • West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 209–231). Guilford. First citation in articleGoogle Scholar

  • Wetzels, R., Matzke, D., Lee, M. D., Rouder, J. N., Iverson, G. J., & Wagenmakers, E.-J. (2011). Statistical evidence in experimental psychology: An empirical comparison using 855 t tests. Perspectives on Psychological Science, 6(3), 291–298. 10.1177/1745691611406923 First citation in articleCrossrefGoogle Scholar

  • Wickham, H., François, R., Henry, L., & Müller, K. (2020). dplyr: A grammar of data manipulation (R package version 1.0.0). https://CRAN.R-project.org/package=dplyr First citation in articleGoogle Scholar

  • Zhang, L. M., Aidman, E., Burns, B., & Kleitman, S. (2020). Integrating self-report and performance-based assessment of adaptability in a university context. Journal of Research in Personality, 88, Article 103988. 10.1016/j.jrp.2020.103988 First citation in articleCrossrefGoogle Scholar