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Research Article

Psychometric properties, measurement invariance, and construct validity of the subjective career success inventory

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Article: 2121177 | Received 24 Feb 2022, Accepted 29 Aug 2022, Published online: 14 Sep 2022

References

  • Ahmed, H., Nawaz, S., & Rasheed, M. I. (2019). Self-efficacy, self-esteem, and career success: The role of perceived employability. Journal of Management Sciences, 6(2), 18–11. https://doi.org/10.20547/jms.2014.1906202
  • Briscoe, J. P., Kaše, R., Dries, N., Dysvik, A., Unite, J., Adeleye, I., Andresen, M., Apospori, E., Babalola, O., Bagdadli, S., Çakmak-Otluoglu, K. Ö., Casado, T., Cerdin, J.-L., Cha, J.-S., Chudzikowski, K., Dello Russo, S., Eggenhofer-Rehart, P., Fei, Z., Gianecchini, M. … Zikic, J. (2021). Here, there, & everywhere: Development and validation of a cross-culturally representative measure of subjective career success. Journal of Vocational Behaviour. https://doi.org/10.1016/j.jvb.2021.103612
  • Cheng, P., Shen, W., & Kim, K. Y. (2019). Personal endorsement of ambivalent sexism and career success: An investigation of differential mechanisms. Journal of Business and Psychology, 35(6), 783–798. https://doi.org/10.1007/s10869-019-09652-9
  • Chen, F. F., West, S. G., & Sousa, K. H. (2006). A comparison of bifactor and second order models of quality of life. Multivariate Behavioural Research, 41(2), 189–225. https://doi.org/10.7334/psicothema2019.153
  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5
  • Crisan, E. L. (2021). Academics’ career success: The impact of organizational context and individual variables. Rajagiri Management Journal. Advance online publication. https://doi.org/10.1108/RAMJ-11-2020-0065
  • Garrido, C. C., González, D. N., Seva, U. L., & Piera, P. J. F. (2019). Multidimensional oressentially unidimensional? A multi-faceted factor-analytic approach for assessing the dimensionality of tests and items. Psicothema, 31(4), 450–457.
  • Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. https://doi.org/10.1080/07421222.2001.11045669
  • Haenggli, M., & Hirschi, A. (2020). Career adaptability and career success in the context of a broader career resource framework. Journal of Vocational Behavior, 119. https://doi.org/10.1016/j.jvb.2020.103414
  • Hair, J. F., Black, W. C., Babin, B. J., & Andersen, R. E. (2014). Multivariate data analysis (7th ed.). Pearson Education.
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
  • Hirschi, A., & Koen, J. (2021). Contemporary career orientations and career self-management: A review and integration. Journal of Vocational Behaviour, 126, 1–18. https://doi.org/10.1016/j.jvb.2020.103505
  • Howard, J. L., Gagne, M., Morin, A. J. S., & Forest, J. (2018). Using bifactor exploratory structural equation modeling to test for a continuum structure of motivation. Journal of Management, 44(7), 2638–2664. https://doi.org/10.1177/0149206316645653
  • Ibrahim, M. M. S., & Amari, A. A. (2018). Influence of the psychological capital and perceived organizational support on subjective career success: The mediating role of women’s career adaptability in the Saudi context. International Journal of Business and Management, 13(9). https://doi.org/10.5539/ijbm.v13n9p189
  • International Labour Organization. (2019). World employment and social outlook: Trends 2019. Ilo.
  • Kirchmeyer, C. (2002). Gender differences in managerial careers: Yesterday, today, and tomorrow. Journal of Business Ethics, 37(1), 5–24. https://doi.org/10.1023/A:1014721900246
  • Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
  • Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., De Vet, H. C. W., & Van der Beek, A. J. (2014). Construct validity of the individual work performance questionnaire. Journal of Occupational and Environmental Medicine, 56(3), 331–337. https://doi.org/10.1097/JOM.0000000000000113
  • Mayrhofer, W., Briscoe, J. P., Hall, D. T., Dickmann, M., Dries, N., Dysvik, A., Kaše, R., Parry, E., & Unite, J. (2016). Career success across the globe: Insights from the 5C project. Organizational Dynamics, 45(3), 197–205. https://doi.org/10.1016/j.orgdyn.2016.07.005
  • Mitterer, H. E. (2020). The effect of self-control and grit on female leader emergence [ Doctoral dissertation]. Walden University. https://scholarworks.waldenu.edu/dissertations/9198/
  • Najam, U., Burki, U., & Khalid, W. (2020). Does work-life balance moderate the relationship between career commitment and career success? Evidence from an emerging Asian economy. Administrative Sciences, 10(4), 82. https://doi.org/10.3390/admsci10040082
  • Ng, T. W. H., & Feldman, D. C. (2014). Subjective career success: A meta-analytic review. Journal of Vocational Behavior, 85(2), 169–179. https://doi.org/10.1016/j.jvb.2014.06.001
  • Osituyo, O. (2018). Deliberate ceiling for career progress of female public service employees: A contemporary transformation trend in South Africa. Journal of International Women’s Studies, 19(3), 172–186.
  • Pan, J., & Zhou, W. (2015). How do employees construe their career success: An improved measure of subjective career success. International Journal of Selection and Assessment, 23(1), 45–58. https://doi.org/10.1111/ijsa.12094
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  • Raykov, T. (2009). Interval estimation of revision effect on scale reliability via covariance structure analysis. Structural Equation Modeling, 16(3), 539–555. https://doi.org/10.1080/10705510903008337
  • Santos, G. G. (2016). Career barriers influencing career success: A focus on academics’ perceptions and experiences. Career Development International, 21(1), 60–84. https://doi.org/10.1108/CDI-03-2015-0035
  • Shockley, K., Ureksoy, H., Rodopman, O. B., Poteat, L. F., & Dullaghan, T. R. (2016). Development of a new scale to measure subjective career success: A mixed-methods study. Journal of Organizational Behavior, 37(1), 128–153. https://doi.org/10.1002/job.2046
  • Spurk, D. (2021). Vocational behaviour research: Past topics and future trends and challenges. Journal of Vocational Behaviour, 126, 1–8. https://doi.org/10.1016/j.jvb.2021.103559
  • Spurk, D., Hirschi, A., & Dries, N. (2019). Antecedents and outcomes of objective versus subjective career success: Competing perspectives and future directions. Journal of Management, 45(1), 35–69. https://doi.org/10.1177/0149206318786563
  • Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and controlling for common method variance: A review of available methods. Journal of Management Sciences, 4(2), 142–168. https://doi.org/10.20547/jms.2014.1704202
  • Van der Vaart, L. (2021). The performance measurement conundrum: Construct validity of the individuaL work performance questionnaire in South Africa. South African Journal of Economic and Management Sciences, 24(1). https://doi.org/10.4102/sajems.v24i1.3581
  • Wang, J., & Wang, X. (2020). Structural equation modeling: Applications using Mplus. (2nd ed.). Wiley and Sons.
  • Yuan, K., & Chan, W. (2016). Measurement invariance via multi-group SEM: Issues and solutions with chi-square-difference tests. Psychological methods, 21(3), 405. https://doi.org/10.1037/met0000080