Agentic and communal goal orientations are widely used to predict career interests. However, the number of dimensions that underlie measures of goal orientations remains unclear. Across two studies, using exploratory structural equation modeling (ESEM) and bifactor confirmatory factor analysis, we found that communal goal orientation was unidimensional. However, agentic goal orientations comprised a single global agentic factor that represents a competence dimension plus two domain-specific factors: dominance and self-direction. Structural equation modeling indicated that gender differences in goal orientations, as well as the indirect effects of gender on career interest via goal orientations, were small. However, goal orientations exhibited sizeable direct effects on career interests, with agentic dominance goals the strongest predictor of organizational fit (Study 1 with 318 U.S. college students) and career interests (Study 2 with 789 U.S. MTurk workers). Future studies should consider the multidimensional structure of agentic goals and examine how dominance goals may help us better understand gender differences, social roles, and career preferences.
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Abele, A. E., & Wojciszke, B. (2007). Agency and communion from the perspective of self versus others. Journal of Personality and Social Psychology, 93, 751–763. https://doi.org/10.1037/0022-35220.127.116.111.
Abele, A. E., Hauke, N., Peters, K., Louvet, E., Szymkow, A., & Duan, Y. (2016). Facets of the fundamental content dimensions: Agency with competence and assertiveness—communion with warmth and morality. Frontiers in Psychology, 7, Article ID 1810. https://doi.org/10.3389/fpsyg.2016.01810.
Belanger, A. L., Diekman, A. B., & Steinberg, M. (2017). Leveraging communal experiences in curriculum: Increasing interest in pursuing engineering by changing stereotypic expectation. Journal of Applied Social Psychology, 47, 305–319. https://doi.org/10.1111/jasp.12438.
Berdahl, J. L., Cooper, M., Glick, P., Livingston, R. W., & Williams, J. C. (2018). Work as a masculinity contest. Journal of Social Issues, 74, 422–448. https://doi.org/10.1111/josi.12289.
Brambilla, M., & Leach, C. W. (2014). On the importance of being moral: The distinctive role of morality in social judgment. Social Cognition, 32, 397–408. https://doi.org/10.1521/soco.2014.32.4.397.
Brown, T. A. (2015). Methodology in the social sciences. Confirmatory factor analysis for applied research (2nd ed.). New York, NY: Guilford.
Brown, E. R., Thoman, D. B., Smith, J. L., & Diekman, A. B. (2015). Closing the communal gap: The importance of communal affordances in science career motivation. Journal of Applied Social Psychology, 45, 662–673. https://doi.org/10.1111/jasp.12327.
Bureau of Labor Statistics. (2017). Labor force statistics from the current population survey. Retrieved from https://www.bls.gov/cps/aa2017/cpsaat09.htm.
Carrier, A., Louvet, E., Chauvin, B., & Rohmer, O. (2014). The primacy of agency over competence in status perception. Social Psychology, 45, 347–356. https://doi.org/10.1027/1864-9335/a000176.
Cejka, M. A., & Eagly, A. H. (1999). Gender-stereotypic images of occupations correspond to the sex segregation of employment. Personality and Social Psychology Bulletin, 25, 413–423. https://doi.org/10.1177/0146167299025004002.
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14, 464–504. https://doi.org/10.1080/10705510701301834.
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation, 10 Retrieved from http://pareonline.net/getvn.asp?v=10&n=7.
Desilver, D. (2018). A record number of women will be serving in the new congress. In Pew Research Center Retrieved from https://www.pewresearch.org/fact-tank/2018/12/18/record-number-women-in-congress/.
Diekman, A. B., & Steinberg, M. (2013). Navigating social roles in pursuit of important goals: A communal goal congruity account of STEM pursuits. Social and Personality Psychology Compass, 7, 487–501. https://doi.org/10.1111/spc3.12042.
Diekman, A. B., Brown, E. R., Johnston, A. M., & Clark, E. K. (2010). Seeking congruity between goals and roles: A new look at why women opt out of science technology engineering and mathematics careers. Psychological Science, 8, 1051–1057. https://doi.org/10.1177/0956797610377342.
Diekman, A. B., Clark, E. K., Johnston, A. M., Brown, E. R., & Steinberg, M. (2011). Malleability in communal goals and beliefs influences attraction to STEM careers: Evidence for a goal congruity perspective. Journal of Personality and Social Psychology, 101, 902–918. https://doi.org/10.1037/a0025199.
Diekman, A. B., Steinberg, M., Brown, E. R., Belanger, A. L., & Clark, E. K. (2017). A goal congruity model of role entry, engagement, and exit: Understanding communal goal processes in STEM gender gaps. Personality and Social Psychology Review, 21, 142–175. https://doi.org/10.1177/1088868316642141.
Dueber, D. M. (2017). Bifactor indices calculator: A microsoft excel-based tool to calculate various indices relevant to bifactor CFA models. https://doi.org/10.13023/edp.tool.01. Retrieved from http://sites.education.uky.edu/apslab/resources/.
Eagly, A. H., & Deikman, A. B. (2008). Of men, women, and motivation: A role congruity account. In J. Y. Shah & W. L. Gardner (Eds.), Handbook of Motivation Science (pp. 434–447). New York, NY: Guilford.
Eagly, A. H., Wood, W., & Diekman, A. B. (2000). Social role theory of sex differences and similarities: An appraisal. In T. Ecks & H. M. Trautner (Eds.), The developmental social psychology of gender (pp. 123–174). Marwah, NJ: Erlbaum. https://doi.org/10.4135/9781446249222.n49.
Eagly, A. H., Nater, C., Wood, W., Miller, D. I., Kaufmann, M., & Sczesny, S. (2019). Gender stereotypes have changed: A cross-temporal meta-analysis from 1946-2018. American Psychologist. Advance online publication. https://doi.org/10.1037/amp0000494.
Evans, C. D., & Diekman, A. B. (2009). On motivated role selection: Gender beliefs, distant goals, and career interest. Psychology of Women Quarterly, 33, 235–239. https://doi.org/10.1111/j.1471-6402.2009.01493.x.
Fowler, S. (2017, February 19). Reflecting on one very, very strange year at Uber. Retrieved from https://susanjfowler.com/blog/2017/2/19/reflecting-on-one-very-strange-year-at-uber.
Fuesting, M. A., & Diekman, A. B. (2017). Not by success alone: Role models provide pathways to communal opportunities in STEM. Personality and Social Psychology Bulletin, 43, 163–176. https://doi.org/10.1177/0146167216678857.
Glick, P., Berdahl, J. L., & Alonso, N. M. (2018). Development and validation of the masculinity contest culture scale. Journal of Social Issues, 74, 449–476. https://doi.org/10.1111/josi.12280.
Hentschel, T., Heilman, M. E., & Peus, C. V. (2019). The multiple dimensions of gender stereotypes: A current look at men’s and women’s characterizations of others and themselves. Frontiers in Psychology Advance online publication. https://doi.org/10.3389/fpsyg.2019.00011.
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 61, 1–55. https://doi.org/10.1080/10705519909540118.
Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60, 581–592. https://doi.org/10.1037/0003-066X.60.6.581.
Kline, R. B. (2016). Methodology in the social sciences. Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford Press.
Koenig, A. M., & Eagly, A. H. (2014). Evidence for the social role theory of stereotype content: Observations of groups’ roles shape stereotypes. Journal of Personality and Social Psychology, 107, 371–392. https://doi.org/10.1037/a0037215.
Kolhatkar, S. (2017, November). Letters from silicon valley: The tech industry’s gender discrimination problem. The New Yorker. Retrieved from https://www.newyorker.com/magazine/2017/11/20/the-tech-industrys-gender-discrimination-problem.
Konrad, A. M., Ritchie, J., Lieb, E., & Corrigall, E. (2000). Sex differences and similarities in job attribute preferences: A meta-analysis. Psychological Bulletin, 126, 593–641. https://doi.org/10.1037/0033-2909.126.4.593.
Kuchynka, S. L., Bosson, J. K., Vandello, J. A., & Puryear, C. (2018). Zero-sum thinking and the masculinity contest: Perceived intergroup competition and workplace gender bias. Journal of Social Issues, 74, 529–550. https://doi.org/10.1111/josi.12281.
McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah, NJ: L. Erlbaum Associates.
Morin, A. J. S., Marsh, H. W., & Nagengast, B. (2013). Exploratory structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (2nd ed., pp. 395–436). Charlotte, NC: Information Age Publishing, Inc..
Morin, A. J. S., Arens, A. K., & Marsh, H. W. (2016). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling: A Multidisciplinary Journal, 23, 116–139. https://doi.org/10.1080/10705511.2014.961800.
Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Muthén & Muthén.
Prentice, D. A., & Carranza, E. (2002). What women should be, shouldn’t be, are allowed to be, and don’t have to be: The contents of prescriptive gender stereotypes. Psychology of Women Quarterly, 26, 269–281. https://doi.org/10.1111/1471-6402.t01-1-00066.
Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667–696. https://doi.org/10.1080/00273171.2012.715555.
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: calculating and interpreting statistical indices. Psychological Methods, 21, 137–150. https://doi.org/10.1037/met0000045.
Rudman, L. A., & Glick, P. (2001). Prescriptive gender stereotypes and backlash toward agentic women. Journal of Social Issues, 57, 743–762. https://doi.org/10.1111/0022-4537.00239.
Rudman, L. A., & Mescher, K. (2013). Penalizing men who request a family leave: Is flexibility stigma a femininity stigma? Journal of Social Issues, 69, 322–340. https://doi.org/10.1111/josi.12017.
Schaumberg, R. L., & Flynn, F. J. (2017). Self-reliance: A gender perspective on its relationship to communality and leadership evaluations. Academy of Management Journal, 60, 1859–1881. https://doi.org/10.5465/amj.2015.0018.
Schneider, M. C., Holman, M. R., Diekman, A. B., & McAndrew, T. (2016). Power, conflict, and community: How gendered views of political power influence women’s political ambition. Political Psychology, 37, 515–531. https://doi.org/10.1111/pops.12268.
Tellhed, U., Bäckström, M., & Björklund, F. (2018). The role of ability beliefs and agentic vs. communal career goals in adolescents’ first educational choice. What explains the degree of gender balance? Journal of Vocational Behavior, 104, 1–13. https://doi.org/10.1016/j.jvb.2017.09.008.
Trapnell, P. D., & Paulhus, D. L. (2012). Agentic and communal values: Their scope and measurement. Journal of Personality Assessment, 94, 39–52. https://doi.org/10.1080/00223891.2011.627968.
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Folberg, A.M., Kercher, K. & Ryan, C.S. The Hidden Role of Dominance in Career Interests: A Bifactor Analysis of Agentic and Communal Goal Orientations. Sex Roles 83, 193–210 (2020). https://doi.org/10.1007/s11199-019-01104-1
- Communal goal orientations
- Agentic goal orientations
- Gender roles
- Bifactor modeling
- Structural equation modeling