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Development and Validation of the Workplace Age Discrimination Scale

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Abstract

Purpose

Workplace age discrimination research is proliferating, but researchers lack a valid measure with which to capture targets’ discriminatory experiences. We developed a measure of perceived workplace age discrimination that assesses overt and covert forms of discrimination and then compared older, middle-aged, and younger workers’ experiences.

Design/Methodology

In Study 1, we developed the Workplace Age Discrimination Scale (WADS) based on older workers’ experiences using a deductive approach, a qualitative study, and two quantitative surveys. In Study 2, we validated the measure among young employees using a qualitative and two quantitative surveys. In Study 3, we tested the WADS among middle-aged workers and tested models of invariance between age groups.

Findings

Participants frequently endorsed covert discriminatory experiences, which the WADS reflects. The WADS contains convergent and discriminant validity, high reliability, and a unidimensional structure across age groups. It demonstrates criterion-related validity among older and younger workers but not middle-aged workers, given their low experiences of age discrimination. Age discrimination frequency follows a U-shaped pattern across age groups.

Implications

Researchers can use the WADS to identify long-term outcomes of age discrimination and to further compare workers’ discriminatory experiences. Practitioners and policymakers can use the measure to develop interventions to ameliorate workplace age discrimination and inform policymaking.

Originality/Value

The WADS is the first validated measure of targets’ perspectives of workplace age discrimination. Our results challenge assumptions that only older workers experience age discrimination (younger workers’ means were highest) and that age discrimination is usually overt in nature (it is often covert).

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Notes

  1. This information was assessed at the beginning and end of every survey.

  2. We also conducted a PAF within each timeframe. In the 6-month and 1-year timeframes, three and four factors, respectively, with eigenvalues greater than one emerged although many items contained substantial dual loadings. In the 3-year timeframe, four factors emerged, although the last three factors each contained only several items, many of which had dual loadings. In the 5-year timeframe, two factors emerged, but the second factor contained two items, one of which had a relatively high dual loading. Importantly, only one factor emerged in every timeframe based on scree plots, which have been shown to be more accurate tests for determining numbers of factors, compared to eigenvalues (Floyd and Widaman 1995; Ford et al. 1986). Further, most of the final nine WADS items stemmed from the first factors across timeframes (and these final nine items produced one factor). Taken together, these results best support a unidimensional structure. More detailed information about the exploratory factor structures by timeframe can be obtained by contacting the first author.

  3. More detailed information about the hierarchical regressions can be obtained by contacting the first author.

  4. More information about the relative weight analyses can be obtained by contacting the first author.

  5. We supplemented all model comparisons with differences in CFI. Invariance hypotheses should typically not be rejected when CFI change values are -.01 or less, they should be viewed with caution when values are −.01 to −.02, and they should be rejected when values are greater than −.02 (Vandenberg and Lance 2001).

  6. Goodness of fit indices can be obtained by contacting the first author.

References

  • Aguinis, H., & Lawal, S. O. (2012). Conducting field experiments using eLancing’s natural environment. Journal of Business Venturing, 27(4), 493–505.

    Article  Google Scholar 

  • Andersson, L. M., & Pearson, C. M. (1999). Tit for tat? The spiraling effect of incivility in the workplace. Academy of Management Review, 24(3), 452–471.

    Google Scholar 

  • Arvey, R. D., & Cavanaugh, M. A. (1995). Using surveys to assess the prevalence of sexual harassment: Some methodological problems. Journal of Social Issues, 51(1), 39–52.

    Article  Google Scholar 

  • Avery, D. R., McKay, P. F., & Wilson, D. C. (2008). What are the odds? How demographic similarity affects the prevalence of perceived employment discrimination. Journal of Applied Psychology, 93(2), 235–249.

    Article  PubMed  Google Scholar 

  • Avolio, B. J., & Barrett, G. V. (1987). Effects of age stereotyping in a simulated interview. Psychology and Aging, 2(1), 56–63.

    Article  PubMed  Google Scholar 

  • Bal, A. C., Reiss, A. E. B., Rudolph, C. W., & Baltes, B. B. (2011). Examining positive and negative perceptions of older workers: A Meta-Analysis. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66B(6), 687–698.

    Article  Google Scholar 

  • Balch, O. (2015, April 2). Age discrimination is still seen as okay in the workplace. The Guardian. Retrieved from: www.theguardian.com/sustainable-business/2015/apr/02/ageing-retirement-workforce-discrimination.

  • Balfour, D. L., & Wechsler, B. (1996). Organizational commitment: Antecedents and outcomes in public organizations. Public Productivity & Management Review, 19(3), 256–277.

    Article  Google Scholar 

  • Barger, P., Behrend, T. S., Sharek, D. J., & Sinar, E. F. (2011). I-O and the crowd: Frequently asked questions about using Mechanical Turk for research. The Industrial-Organizational Psychologist, 49(2), 11–17.

    Google Scholar 

  • Bertolino, M., Truxillo, D. M., & Fraccaroli, F. (2012). Age effects on perceived personality and job performance. Journal of Managerial Psychology, 28(7/8), 867–885.

    Article  Google Scholar 

  • Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high- quality, data? Perspectives on Psychological Science, 6(1), 3–5.

    Article  PubMed  Google Scholar 

  • Cammann, C., Fichman, M., Jenkins, D., & Klesh, J. R. (1983). The Michigan Organizational Assessment Questionnaire. In S. E. Seashore (Ed.), Assessing organizational change: A guide to methods, measures, and practices (pp. 71–138). New York: Wiley.

    Google Scholar 

  • Chan, D. (2009). So why ask me? are self-report data really that bad? 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. 309–336). New York: Routledge.

    Google Scholar 

  • Chou, R. J.-A., & Choi, N. G. (2011). Prevalence and correlates of perceived workplace discrimination among older workers in the United States of America. Ageing and Society, 31(06), 1051–1070.

    Article  Google Scholar 

  • Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319.

    Article  Google Scholar 

  • Conway, J. M., & Lance, C. E. (2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business and Psychology, 25(3), 325–334.

    Article  Google Scholar 

  • Cortina, J. M. (1993). What is coefficient alpha?: An examination of theory and application. Journal of Applied Psychology, 78(1), 98–104.

    Article  Google Scholar 

  • Cortina, L. M. (2008). Unseen injustice: Incivility as modern discrimination in organization. Academy of Management Review, 33(1), 55–75.

    Article  Google Scholar 

  • Cortina, L. M., & Magley, V. J. (2009). Patterns and profiles of response to incivility in the workplace. Journal of Occupational Health Psychology, 14(3), 272–288.

    Article  PubMed  Google Scholar 

  • Cortina, L. M., Magley, V. J., Williams, J. H., & Langhout, R. D. (2001). Incivility in the workplace: Incidence and impact. Journal of Occupational Health Psychology, 6(1), 64–80.

    Article  PubMed  Google Scholar 

  • Cuddy, A. J. C., Fiske, S. T., & Glick, P. (2007). The BIAS map: Behaviors from intergroup affect and stereotypes. Journal of Personality and Social Psychology, 92(4), 631–648.

    Article  PubMed  Google Scholar 

  • Cuddy, A. J. C., Norton, M. I., & Fiske, S. T. (2005). This old stereotype: The pervasiveness and persistence of the elderly stereotype. Journal of Social Issues, 61(2), 267–285.

    Article  Google Scholar 

  • Deal, J. J., Altman, D. G., & Rogelberg, S. G. (2010). Millennials at work: What we know and what we need to do (if anything). Journal of Business and Psychology, 25(2), 191–199.

    Article  Google Scholar 

  • Department for Work and Pensions (2013, February 8). Employing older workers: An employer’s guide to today’s multi-generational workforce. Retrieved from www.dwp.gov.uk/publications.

  • Dovidio, J. F., Kawakami, K., Johnson, C., Johnson, B., & Howard, A. (1997). On the nature of prejudice: Automatic and controlled processes. Journal of Experimental Social Psychology, 33(5), 510–540.

    Article  Google Scholar 

  • Duncan, C., & Loretto, W. (2004). Never the right age? Gender and age-based discrimination in employment. Gender Work & Org, 11(1), 95–115.

    Article  Google Scholar 

  • Equal Employment Opportunity Commission. (2009, July 15). Age discrimination in the 21st century: Barriers to the employment of older workers. Retrieved from http://www.eeoc.gov/eeoc/meetings/7-15-09/transcript.cfm.

  • Equal Employment Opportunity Commission. (2013). Age Discrimination in Employment Act (includes concurrent charges with Title VII, ADA and EPA) FY 1997FY 2013. Retrieved from www1.eeoc.gov/eeoc/statistics/enforcement/adea.cfm.

  • Finkelstein, L. M., & Burke, M. J. (1998). Age stereotyping at work: The role of rater and contextual factors on evaluations of job applicants. Journal of General Psychology, 125(4), 317–345.

    Article  PubMed  Google Scholar 

  • Finkelstein, L. M., Ryan, K. M., & King, E. B. (2013). What do the young (old) people think of me? Content and accuracy of age-based metastereotypes. European Journal of Work and Organizational Psychology, 22(6), 633–657.

    Article  Google Scholar 

  • Fitzgerald, L. F., Drasgow, F., Hulin, C. L., Gelfand, M. J., & Magley, V. J. (1997). Antecedents and consequences of sexual harassment in organizations: A test of an integrated model. Journal of Applied Psychology, 82(4), 578–589.

    Article  PubMed  Google Scholar 

  • Fitzgerald, L. F., & Shullman, S. L. (1993). Sexual Harassment: A research analysis and agenda for the 1990s. Journal of Vocational Behavior, 42(1), 5–27.

    Article  Google Scholar 

  • Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7(3), 286–299.

    Article  Google Scholar 

  • Ford, J. K., MacCallum, R. C., & Tait, M. (1986). The application of exploratory factor analysis in applied psychology: A critical review and analysis. Personnel Psychology, 39, 291–314.

    Article  Google Scholar 

  • Fraboni, M., Saltstone, R., & Hughes, S. (1990). The Fraboni Scale of Ageism (FSA): An attempt at a more precise measure of ageism. Canadian Journal on Aging/La Revue Canadienne Du Vieillissement, 9(1), 56–66.

    Article  Google Scholar 

  • Freedman, M. (2008). Encore: Finding work that matters in the second half of life. New York: Public Affairs.

    Google Scholar 

  • Fritzsche, B., & Marcus, J. (2013). The senior discount: biases against older career changers. Journal of Applied Social Psychology, 43(2), 350–362.

    Article  Google Scholar 

  • Fuegen, K., & Biernat, M. (2000). Defining discrimination in the personal/group discrimination discrepancy. Sex Roles, 43(5/6), 285–310.

    Article  Google Scholar 

  • Furunes, T., & Mykletun, R. J. (2010). Age discrimination in the workplace: Validation of the Nordic Age Discrimination Scale (NADS). Scandinavian Journal of Psychology, 51(1), 23–30.

    Article  PubMed  Google Scholar 

  • Gaertner, S. L., & Dovidio, J. F. (2000). Reducing intergroup bias: The common ingroup identity model. Philadelphia: Psychology Press.

    Google Scholar 

  • Gaertner, S. L., & Dovidio, J. F. (2005). Understanding and addressing contemporary racism: From aversive racism to the common ingroup identity model. Journal of Social Issues, 61(3), 615–639.

    Article  Google Scholar 

  • Garstka, T. A., Schmitt, M. T., Branscombe, N. R., & Hummert, M. L. (2004). How young and older adults differ in their responses to perceived age discrimination. Psychology and Aging, 19(2), 326–335.

    Article  PubMed  Google Scholar 

  • Gee, G. C., Pavalko, E. K., & Long, J. S. (2007). Age, cohort and perceived age discrimination: Using the life course to assess self-reported age discrimination. Social Forces, 86(1), 265–290.

    Article  Google Scholar 

  • Gibson, K. J., Zerbe, W. J., & Franken, R. E. (1993). The influence of rater and rate age on judgments of work-related attitudes. The Journal of Psychology, 127(3), 271–280.

    Article  Google Scholar 

  • Gosling, S. D., Rentfrow, P. J., & Swann, W. B, Jr. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37(6), 504–528.

    Article  Google Scholar 

  • Hardy, B., & Ford, L. R. (2014). It’s not me, it’s you: Miscomprehension in surveys. Organizational Research Methods., 17(2), 138–162.

    Article  Google Scholar 

  • Hayutin, A., Beals, M., & Borges, E. (2013, July). The aging U.S. workforce: A chartbook of demographic shifts. Stanford Center on Longevity. Retrieved from http://longevity3.stanford.edu/demographic.

  • Hebl, M. R., Foster, J. B., Mannix, L. M., & Dovidio, J. F. (2002). Formal and interpersonal discrimination: A field study of bias toward homosexual applicants. Personality and Social Psychology Bulletin, 28(6), 815–825.

    Article  Google Scholar 

  • Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121.

    Article  Google Scholar 

  • Hock, E. K. K. (2015, May 22). Ageism is biggest obstacle to employability of older Singaporeans. Today. Retrieved from: www.todayonline.com/voices/ageism-biggest-obstacle-employeability-older-sporeans.

  • Huang, J. L., Bowling, N. A., Liu, M., & Li, Y. (2015). Detecting insufficient effort responding with an infrequency scale: Evaluating validity and participant reactions. Journal of Business and Psychology, 30(2), 299–311.

    Article  Google Scholar 

  • Huang, J. L., Curran, P. G., Keeney, J., Poposki, E. M., & DeShon, R. P. (2012). Detecting and deterring insufficient effort respond to surveys. Journal of Business and Psychology, 27(1), 99–114.

    Article  Google Scholar 

  • Jones, K. P., Peddie, C. I., Gilrane, V. L., King, E. B., & Gray, A. L. (2013). Not so subtle: A meta-analytic investigation of the correlates of subtle and overt discrimination. Journal of Management,. doi:10.1177/0149206313506466.

    Google Scholar 

  • Judge, T. A., & Hulin, C. L. (1993). Job satisfaction as a reflection of disposition: A multiple source causal analysis. Organizational Behavior and Human Decision Processes, 56(3), 388–421.

    Article  Google Scholar 

  • King, E. B., Dunleavy, D. G., Dunleavy, E. M., Jaffer, S., Morgan, W. B., Elder, K., & Grabner, R. (2011). Discrimination in the 21st century: Are science and the law aligned? Psychology, Public Policy, and Law, 17(1), 54–75.

    Article  Google Scholar 

  • Kline, R. B. (2010). Principles and practices of structural equation modeling (3rd ed.). New York: Guilford Press.

    Google Scholar 

  • Kunze, F., Boehm, S. A., & Bruch, H. (2011). Age diversity, age discrimination climate and performance consequences-a cross organizational study. Journal of Organizational Behavior, 32(2), 264–290.

    Article  Google Scholar 

  • Landers, R. N., & Behrend, T. S. (2015). An inconvenient truth: Arbitrary distinctions between organizational, Mechanical Turk, and other convenience samples. Industrial and Organizational Psychology: Perspectives on Science and Practice, 8(2), 142–164.

    Article  Google Scholar 

  • Langhout, R. D., Bergman, M. E., Cortina, L. M., Fitzgerald, L. F., Drasgow, F., & Williams, J. H. (2005). Sexual harassment severity: Assessing situational and personal determinants and outcomes. Journal of Applied Social Psychology, 35(5), 975–1007.

    Article  Google Scholar 

  • Lazarus, R. S., & Folkman, S. (1984). Selections in stress, appraisal, and coping. New York: Springer Publishing.

    Google Scholar 

  • LeBreton, J. M., Hargis, M. B., Griepentrog, B., Oswald, F. L., & Ployhart, R. E. (2007). A multidimensional approach for evaluating variables in organizational research and practice. Personnel Psychology, 60(2), 475–498.

    Article  Google Scholar 

  • Levin, I., & Stokes, J. P. (1989). Dispositional approach to job satisfaction: Role of negative affectivity. Journal of Applied Psychology, 74(5), 752–758.

    Article  Google Scholar 

  • Levy, B. R., & Banaji, M. R. (2002). Implicit ageism. In T. D. Nelson (Ed.), Ageism: Stereotyping and prejudice against older persons (pp. 49–76). Cambridge, MA: The MIT Press.

    Google Scholar 

  • Loretto, W., Duncan, C., & White, P. J. (2000). Ageism and employment: Controversies, ambiguities and younger people’s perceptions. Ageing and Society, 20(03), 279–302.

    Article  Google Scholar 

  • Madera, J. M., & Hebl, M. (2013). Social exclusion of individuals through interpersonal discrimination. In C. N. DeWall (Ed.), Oxford handbook of social exclusion (pp. 55–64). New York: Oxford University Press.

    Google Scholar 

  • Marchiondo, L. A., Ran, S., & Cortina, L. M. (2015). Modern discrimination. In A. J. Colella and E. B. King (Eds.), The Oxford handbook of workplace discrimination. Advance online publication. doi: 10.1093/oxfordhb/9780199363643.013.15

  • Medhora, S. (2015, April 22). Age discrimination reported by 27% of older workers in Australia. The Guardian. Retrieved from www.theguardian.com/australia-news/2015/apr/23/age-discrimination-reported-by-27-of-older-workers-in-australia.

  • Milam, A. C., Spitzmueller, C., & Penney, L. M. (2009). Investigating individual differences among targets of workplace incivility. Journal of Occupational Health Psychology, 14(1), 58–69.

    Article  PubMed  Google Scholar 

  • Minnotte, K. L. (2012). Perceived discrimination and work-to-life conflict among workers in the United States. The Sociological Quarterly, 53(2), 188–210.

    Article  Google Scholar 

  • Munnell, A. H., & Sass, S. A. (2008). Working longer: The solution to the retirement income challenge. Washington, DC: Brookings Institution Press.

    Google Scholar 

  • Ng, T. W. H., & Feldman, D. C. (2012). Age and innovation-related behavior: The joint moderating effects of supervisor undermining and proactive personality. Journal of Organizational Behavior, 34(5), 583–606.

    Article  Google Scholar 

  • North, M. S., & Fiske, S. T. (2012). An inconvenienced youth? Ageism and its potential intergenerational roots. Psychological Bulletin, 138(5), 982–997.

    Article  PubMed  Google Scholar 

  • Orpen, C. (1995). The effects of perceived age discrimination on employee job satisfaction, organizational commitment, and job involvement. Psychology, 3(1), 55–56.

    Google Scholar 

  • Osatuke, K., Moore, S. C., Ward, C., Dyrenforth, S. R., & Belton, L. (2009). Civility, respect, engagement in the workforce (CREW): Nationwide organization development intervention at Veterans Health Administration. Journal of Applied Behavioral Science, 45(3), 384–410.

    Article  Google Scholar 

  • Pelled, L. H. (1996). Relational demography and perceptions of group conflict and performance: A field investigation. International Journal of Conflict Management, 7(3), 230–246.

    Article  Google Scholar 

  • Pelled, L. H., Eisenhardt, K. M., & Xin, K. R. (1999). Exploring the black box: An analysis of work group diversity, conflict, and performance. Administrative Science Quarterly, 44, 1–28.

    Article  Google Scholar 

  • 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. Journal of Applied Psychology, 88(5), 879–903.

    Article  PubMed  Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 65, 539–569.

    Article  Google Scholar 

  • Porter, L. W., Crampon, W. J., & Smith, F. J. (1976). Organizational commitment and managerial turnover: A longitudinal study. Organizational Behavior and Human Performance, 15(1), 87–98.

    Article  Google Scholar 

  • Posthuma, R. A., & Campion, M. A. (2009). Age stereotypes in the workplace: Common stereotypes, moderators, and future research directions? Journal of Management, 35(1), 158–188.

    Article  Google Scholar 

  • Posthuma, R. A., Wagstaff, M. F., & Campion, M. A. (2012). Age stereotypes and workplace age discrimination. In J. W. Hedge & W. C. Borman (Eds.), Oxford handbook of work and aging (pp. 298–312). New York: Oxford University Press.

    Google Scholar 

  • Redman, T., & Snape, E. (2006). The consequences of perceived age discrimination amongst older police officers: Is social support a buffer? British Journal of Management, 17(2), 167–175.

    Article  Google Scholar 

  • Rodham, K. (2001). Ageism, young academics, and the Buffalo Stance. In I. Glover & M. Branine (Eds.), Ageism in work and employment (pp. 175–184). Aldershot: Ashgate Publishing.

    Google Scholar 

  • Rosen, B., & Jerdee, T. H. (1976). The influence of age stereotypes on managerial decisions. Journal of Applied Psychology, 61(4), 428–432.

    Article  Google Scholar 

  • Rosencranz, H. A., & McNevin, T. E. (1969). A factor analysis of attitudes toward the aged. The Gerontologist, 9(1), 55–59.

    Article  PubMed  Google Scholar 

  • Ruggs, E. N., Hebl, M. R., Law, C., Cox, C. B., Roehling, M. V., Wiener, R. L., & Barron, L. (2013). Gone fishing: I-O psychologists’ missed opportunities to understand marginalized employees’ experiences with discrimination. Industrial and Organizational Psychology: Perspectives on Science and Practice, 6(1), 39–60.

    Article  Google Scholar 

  • Rupp, D. E., Vodanovich, S. J., & Crede, M. (2006). Age bias in the workplace: The impact of ageism and causal attributions. Journal of Applied Social Psychology, 36(6), 1337–1364.

    Article  Google Scholar 

  • Snape, E., & Redman, T. (2003). Too old or too young? The impact of perceived age discrimination. Human Resource Management Journal, 13(1), 78–89.

    Article  Google Scholar 

  • Spector, P. E., & Jex, S. M. (1998). Development of four self-report measures of job stressors and strain: Interpersonal conflict at work scale, organizational constraints scale, quantitative workload inventory, and physical symptoms inventory. Journal of Occupational Health Psychology, 3(4), 356–367.

    Article  PubMed  Google Scholar 

  • Stanton, J. M., Sinar, E. F., Balzer, W. K., & Smith, P. C. (2002). Issues and strategies for reducing the length of self- report scales. Personnel Psychology, 55(1), 167–194.

    Article  Google Scholar 

  • Tonidandel, S., & LeBreton, J. M. (2011). Relative importance analysis: A useful supplement to regression analysis. Journal of Business and Psychology, 26(1), 1–9.

    Article  Google Scholar 

  • Tonidandel, S., & LeBreton, J. M. (2015). RWA Web: a free, comprehensive, web-based, and user-friendly tool for relative weight analyses. Journal of Business and Psychology, 30(2), 207–216.

    Article  Google Scholar 

  • Tuckman, J., & Lorge, I. (1953). When does old age begin and a worker become old? Journal of Gerontology, 8(4), 483–488.

    Article  PubMed  Google Scholar 

  • Vandenberg, R. J., & Lance, C. E. (2001). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70.

    Article  Google Scholar 

  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS Scales. Journal of Personality and Social Psychology, 54(6), 1063–1070.

    Article  PubMed  Google Scholar 

  • Weiss, E. M., & Maurer, T. J. (2004). Age discrimination in personnel decisions: A reexamination. Journal of Applied Social Psychology, 34(8), 1551–1562.

    Article  Google Scholar 

  • Williams, D. R., Neighbors, H. W., & Jackson, J. S. (2003). Racial/ethnic discrimination and health: Findings from community studies. American Journal of Public Health, 93(2), 200–208.

    Article  PubMed  PubMed Central  Google Scholar 

  • Williams, D. R., Yan, Yu., Jackson, J. S., & Anderson, N. B. (1997). Racial differences in physical and mental health: Socio-economic status, stress and discrimination. Journal of Health Psychology, 2(3), 335–351.

    Article  PubMed  Google Scholar 

  • Zenger, T. R., & Lawrence, B. S. (1989). Organizational demography: The differential effects of age and tenure distributions on technical communication. Academy of Management Journal, 32(2), 353–376.

    Article  Google Scholar 

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Acknowledgments

We are grateful to participants of the Age in the Workplace conference—particularly Lisa Finkelstein and Donald Truxillo—for their feedback on early stages of this project. We also thank Alyssa McGonagle and Boris Baltes for their methodological support. In addition, we greatly appreciate the thoughtful feedback from the Associate Editor, Scott Tonidandel, and two anonymous reviewers that allowed us to strengthen the manuscript. Finally, we thank Kathi Marchiondo, who provided insight and valuable feedback.

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Correspondence to Lisa A. Marchiondo.

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Marchiondo, L.A., Gonzales, E. & Ran, S. Development and Validation of the Workplace Age Discrimination Scale. J Bus Psychol 31, 493–513 (2016). https://doi.org/10.1007/s10869-015-9425-6

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