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Generational Differences in Work Ethic: An Examination of Measurement Equivalence Across Three Cohorts

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Abstract

Purpose

The purpose of this study was to examine the differences across three generational cohorts (Millennials, Generation X, and Baby Boomers) on dimensions of the work ethic construct using the multidimensional work ethic profile (MWEP).

Design/Methodology/Approach

Data were collected from multiple samples and combined into a large database (N = 1860). Measurement equivalence was examined using Raju et al.’s (1995) differential functioning of items and tests (DFIT) procedure.

Findings

Several dimensions of the MWEP were not equivalent across cohorts, indicating that item content may not operate in the same manner across groups. When equivalent, several significant mean differences were detected across cohorts, indicating that respondents do differ in important work-related attitudes and behaviors.

Implications

Despite several reviews of generational differences across cohorts, relatively few empirical examinations have been undertaken, and no studies have yet examined the measurement equivalence of constructs across generational cohorts. These findings provide evidence that differences do exist across cohorts on dimensions of work ethic, and some differences may be a result of respondents interpreting content in different ways. Managers of multigenerational employees should consider these differences in managing employees and conflict that may arise as a result.

Originality/Value

This is one of the first studies to provide empirical evidence of generational differences in the work ethic construct. In addition, this is the first study to evaluate the measurement equivalence of a work ethic inventory or any other work related individual difference construct across generational cohorts.

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References

  • Baker, F. (1995). EQUATE 2.1: Computer program for equating two metrics in item response theory (version 2.1). Madison: Laboratory of Experimental Design, University of Wisconsin.

    Google Scholar 

  • Cennamo, L., & Gardner, D. (2008). Generational differences in work values, outcomes, and person-organization values fit. Journal of Managerial Psychology, 23, 891–906.

    Article  Google Scholar 

  • Cherrington, D. J., Condie, S. J., & England, J. L. (1979). Age and work values. Academy of Management Journal, 22, 617–623.

    Article  Google Scholar 

  • Dries, N., Pepermans, R., & De Kerpel, E. (2008). Exploring four generations’ beliefs about career: Is “satisfied” the new “successful”? Journal of Managerial Psychology, 23, 907–928.

    Article  Google Scholar 

  • Duchscher, J. E. B., & Cowin, L. (2004). Multigenerational nurses in the workplace. Journal of Nursing Administration, 34, 493–501.

    Article  Google Scholar 

  • Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum and Associates.

    Google Scholar 

  • Erickson, T. (2008, August 25). Don’t treat them like baby boomers. Business Week, p. 64.

  • Flowers, C. P., Oshima, T. C., & Raju, N. S. (1999). A description and demonstration of the polytomous-DFIT framework. Applied Psychological Measurement, 23, 309–326.

    Article  Google Scholar 

  • Kupperschmidt, B. (2000). Multigeneration employees: Strategies for effective management. Health Care Manager, 19, 65–76.

    PubMed  Google Scholar 

  • Lancaster, L. C., & Stillman, D. (2002). When generations collide: Who they are. Why they clash. How to solve the generational puzzle at work. New York, NY: HarperCollins Publishers, Inc.

    Google Scholar 

  • Macky, K., Gardner, D., & Forsyth, S. (2008). Generational differences at work: Introduction and overview. Journal of Managerial Psychology, 23, 857–861.

    Article  Google Scholar 

  • Meade, A. W., & Lautenschlager, G. J. (2004). A comparison of item response theory and confirmatory factor analytic methodologies for establishing measurement equivalence/invariance. Organizational Research Methods, 7, 361–388.

    Article  Google Scholar 

  • Meriac, J. P., Poling, T. L., & Woehr, D. J. (2009). Are there gender differences in work ethic?: An examination of the measurement equivalence of the multidimensional work ethic profile. Personality and Individual Differences, 47, 209–213.

    Article  Google Scholar 

  • Miller, M. J., Woehr, D. J., & Hudspeth, N. (2002). The meaning and measurement of work ethic: Construction and initial validation of a multidimensional inventory. Journal of Vocational Behavior, 60, 451–489.

    Article  Google Scholar 

  • O’Connell, P. O. (2008, August 25). What’s eating gen X. Business Week, pp. 61–62.

  • Pham, V. H., Case, J., Miyake, L., & Gil, S. (2008). The gen Y perceptions study. Retrieved from Cal State Fullerton Career Center website http://campusapps2.fullerton.edu/career/pdf/Gen_Y.pdf.

  • Pogson, C., Cober, A., Doverspike, D., & Rogers, J. (2003). Differences in self-reported work ethic across three career stages. Journal of Vocational Behavior, 62, 189–201.

    Article  Google Scholar 

  • Raju, N. S. (1999). DFITPS6: A Fortran program for calculating polytomous DIF/DTF [Computer program]. Chicago: Illinois Institute of Technology.

    Google Scholar 

  • Raju, N. S., van der Linden, W., & Fleer, P. (1995). An IRT-based internal measure of test bias with implications for differential item functioning. Applied Psychological Measurement, 19, 353–368.

    Article  Google Scholar 

  • Reckase, M. D. (1979). Unifactor latent trait models applied to multifactor tests: Results and implications. Journal of Educational Statistics, 4, 207–230.

    Article  Google Scholar 

  • Samejima, F. (1969). Estimation of latent ability using a pattern of graded scores [Monograph]. Psychometrika Supplement No. 17.

  • Smola, K. W., & Sutton, C. D. (2002). Generational differences: Revisiting generational work values for the new millennium. Journal of Organizational Behavior, 23, 363–382.

    Article  Google Scholar 

  • Stocking, M. L., & Lord, F. M. (1983). Developing a common metric in item response theory. Applied Psychological Measurement, 7, 201–210.

    Article  Google Scholar 

  • ter Bogt, T., Raaijmakers, Q., & van Wel, F. (2005). Socialization and development of the work ethic among adolescents and young adults. Journal of Vocational Behavior, 66, 420–437.

    Article  Google Scholar 

  • Thissen, D. (2003). MULTILOG 7.03: A computer program for multiple, categorical item analysis and test scoring using item response theory. Chicago: Scientific Software, Inc.

    Google Scholar 

  • Twenge, J. M., & Campbell, S. M. (2008). Generational differences in psychological traits and their impact on the workplace. Journal of Managerial Psychology, 23, 862–877.

    Article  Google Scholar 

  • Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–69.

    Article  Google Scholar 

  • Weber, M. (1958). The protestant ethic and the spirit of capitalism (T. Parsons, Trans.). New York, NY: Scribners. (Original work published 1904–1905).

  • Woehr, D. J., Archinega, L., & Lim, D. (2007). Examining work ethic across populations: A comparison of the multidimensional work ethic profile across three diverse cultures. Educational and Psychological Measurement, 67, 154–168.

    Article  Google Scholar 

  • Wong, M., Gardiner, E., Lang, W., & Coulon, L. (2008). Generational differences in personality and motivation: Do they exist and what are the implications for the workplace? Journal of Managerial Psychology, 23, 878–890.

    Article  Google Scholar 

  • Zemke, R., Raines, C., & Filipczak, B. (1999). Generations at work: Managing the clash of veterans, boomers, xers and nexters in your workplace. New York, NY: Amacom.

    Google Scholar 

  • Zickar, M., & Broadfoot, A. (2009). The partial revival of a dead horse? Comparing classical test theory and item response theory. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends: Doctrine, verity and fable in the organizational and social sciences (pp. 37–59). New York, NY: Routledge.

    Google Scholar 

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Correspondence to John P. Meriac.

Appendix

Appendix

Tables 5, 6, 7 include all DFIT results. Indices reported are based on all items in each MWEP subscale.

Table 5 Millennials and Baby Boomers: DIF and DTF estimates for MWEP subscales
Table 6 Generation X and Baby Boomers: DIF and DTF estimates for MWEP subscales
Table 7 Generation X and Millennials: DIF and DTF estimates for MWEP subscales

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Meriac, J.P., Woehr, D.J. & Banister, C. Generational Differences in Work Ethic: An Examination of Measurement Equivalence Across Three Cohorts. J Bus Psychol 25, 315–324 (2010). https://doi.org/10.1007/s10869-010-9164-7

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  • DOI: https://doi.org/10.1007/s10869-010-9164-7

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