Abstract
The gender gap in white-collar crime perpetration is well-established, yet reasons for women’s underrepresentation among this offending group remain disputed. Specifically, scholars debate whether women are socialized against offending or whether they simply lack the opportunity to engage in these types of crime. The current study focuses on the socialization perspective, looking beyond one’s gender assigned at birth and instead looking at gender identity, threats to that identity, and the interaction of race and gender identity. Using an online, experimental vignette design depicting embezzlement, we find that gender identity influences the likelihood of crime perpetration even when one’s opportunity to commit crime is held constant. Future directions for research and theoretical development into gender and white-collar crime are discussed following a presentation of the results.
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Notes
In total, three participants identified as transmen and four participants identified as “other.” Due to the small sample sizes in these gender categories, these participants were excluded from subsequent analyses.
Bem’s (1974) initial study of the measure on college students indicated that men scored 4.97 on the masculinity and 4.44 on femininity subscales. For women, these scores were 4.57 and 5.01, respectively. In the current study, men scored an average of 4.55 on masculinity and 4.24 for femininity. Women scored 4.26 in masculinity and 4.71 in femininity. Therefore, the averages between this sample and Bem’s (1974) original study generally align.
References
Association of Certified Fraud Examiners. (2020). Report to the nations: 2020 global study on occupational fraud and abuse. Retrieved from https://acfepublic.s3-us-west-2.amazonaws.com/2020-Report-to-the-Nations.pdf
Adler, F. (1975). Sisters in crime: The rise of the new female criminal. McGraw-Hill.
Barnett, C. (2000). Measurement of white-collar crime using Uniform Crime Reporting (UCR) data. (Report No. 202866). U.S. Department of Justice Federal Bureau of Investigation.
Bell, K. E. (2012). Young adult offending: Intersectionality of gender and race. Critical Criminology, 21(1), 103–121. https://doi.org/10.1007/s10612-012-9170-3
Bem, S. L. (1974). The measurement of psychological androgyny. Journal of Consulting and Clinical Psychology, 42(2), 155–162. https://doi.org/10.1037/h0036215
Benson, M. L., & Harbinson, E. (2020). Gender and criminal thinking among individuals convicted of white-collar crimes. Criminal Justice Studies, 33(1), 46–60. https://doi.org/10.1080/1478601X.2020.1709953
Benson, M. L., & Simpson, S. S. (2009). White-collar crime: An opportunity perspective. Routledge.
Benson, M. L., Feldmeyer, B., Gabbidon, S. L., & Chio, H. L. (2021). Race, ethnicity, and social change: The democratization of middle-class crime. Criminology, 59(1), 10–41. https://doi.org/10.1111/1745-9125.12261
Bridges, T. (2010). Men just weren’t made to do this: Performances of drag at “Walk a Mile in Her Shoes” marches. Gender & Society, 24(1), 5–30. https://doi.org/10.1177/0891243209356924
Bridges, T., & Pascoe, C. J. (2014). Hybrid masculinities: New directions in the sociology of men and masculinities. Sociology Compass, 8(3), 246–258. https://doi.org/10.1111/soc4.12134
Butler, J. (1988). Performative acts and gender constitution: An essay in phenomenology and feminist theory. Theatre Journal, 40(4), 519–531. https://doi.org/10.2307/3207893
Butler, J. (2006). Gender trouble: Feminism and the subversion of identity. Routlege.
Chandler, J., & Shapiro, D. (2016). Conducting clinical research using crowdsourced convenience samples. Annual Review of Clinical Psychology, 12, 53–81. https://doi.org/10.1146/annured-clinpsy-021815-093623
Connell, R. W. (1987). Gender and power: Society, the person and sexual politics. Stanford University Press.
Connell, R. W. (2005). Masculinities (2nd ed.). University of California Press.
Connell, C. (2010). Doing, undoing, or redoing gender? Learning from the workplace experiences of transpeople. Gender & Society, 24(1), 31–55. https://doi.org/10.1177/0891243209356429
Crenshaw, K. (1993). Mapping the margins: Intersectionality, identity politics, and violence against women of Color. Stanford Law Review, 43(6), 1241–1299. https://doi.org/10.2307/1229039
Daly, K. (1989). Gender and varieties of white-collar crime. Criminology, 27(4), 769–794. https://doi.org/10.1111/j.1745-9125.1989.tb01054.x
Dearden, T., & Gottschalk, P. (2020). Gender and white-collar crime: Convenience in target selection. Deviant Behavior. Advance online publication. https://doi.org/10.1080/01639625.2020.1756428
Dodge, M. (2016). Gender constructions. In S. R. Van Slyke, M. L. Benson, & F. T. Cullen (Eds.), The Oxford handbook of white-collar crime (pp. 200–213). Oxford University Press.
Dodge, M. (2019). Women and white-collar crime. In Oxford Research Encyclopedia of Criminology and Criminal Justice. Retrieved from Oxford Research Encyclopedias Criminology and Criminal Justice Database.
Donnelly, K., & Twenge, J. M. (2017). Masculine and feminine traits on the Bem Sex-Role Inventory, 1993–2012: A cross-temporal meta-analysis. Sex Roles, 76(9–10), 556–565. https://doi.org/10.1007/s11199-016-0625-y
Dozier, R. (2017). Female masculinity at work: Managing stigma on the job. Psychology of Women Quarterly, 41(2), 197–209. https://doi.org/10.1177/0361684316682956
Eifler, S. (2010). Validity of a factorial survey approach to the analysis of criminal behavior. Methodology, 6(3), 139–146. https://doi.org/10.1027/1614-2241/a000015
Elliot, J. R., & Smith, R. A. (2004). Race, gender, and workplace power. American Sociological Review, 69(3), 365–386.
Follmer, D. J., Sperling, R. A., & Suen, H. K. (2017). The role of MTurk in education research: Advantages, issues, and future decisions. Educational Researcher, 46(6), 329–334. https://doi.org/10.3102/0013189X17725519
Galvin, M. A. (2020). Gender and white-collar crime - Theoretical issues. Criminal Justice Studies, 33(1), 61–69. https://doi.org/10.1080/1478601X.2020.1709954
Gilligan, C. (1982). In a different voice: Psychological theory and women’s development. Harvard University Press.
Goodman, J. K., Cryder, C. E., & Cheema, A. (2013). Data collection in a flat world: The strengths and weaknesses of mechanical Turk samples. Journal of Behavioral Decision Making, 26(3), 213–224. https://doi.org/10.1002/bdm.1753
Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004). Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires. American Psychologist, 59(2), 93. https://doi.org/10.1037/0003-066X.59.2.93
Gottschalk, P. (2020). Gender and crime: Convenience for pink-collar offenders. Deviant Behavior, 43(2), 213–227. https://doi.org/10.1080/01639625.2020.1794270
Harrison, B. F., & Michelson, M. R. (2018). Gender, masculinity threat, and support for transgender rights: An experimental study. Sex Roles, 80(1–2), 63–75. https://doi.org/10.1007/s11199-018-0916-6
Hauser, D. J., & Schwarz, N. (2016). Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants. Behavior Research Methods, 48(1), 400–407. https://doi.org/10.3758/s13428-015-0578-z
Heen, M. Lieberman, J. D., & Miethe, T. (2014). A comparison of different online sampling approaches for generating national samples. 6876. https://doi.org/10.13140/RG.2.2.24283.62243
Hill Collins, P. (1998). Fighting words: Black women and the search for justice. University of Minnesota Press.
Holtfreter, K. (2013). Gender and “other people’s money”: An analysis of white-collar offender sentencing. Women & Criminal Justice, 23(4), 326–344. https://doi.org/10.1080/08974454.2013.821015
Holtfreter, K. (2015). General theory, gender-specific theory, and white-collar crime. Journal of Financial Crime, 22(4), 422–431. https://doi.org/10.1108/JFC-12-2014-0062
Holtfreter, K., Can Slyke, S., Bratton, J., & Gertz, M. (2008). Public perceptions of white-collar crime and punishment. Journal of Criminal Justice, 36(1), 50–60. https://doi.org/10.1016/j.jcrimjus.2007.12.006
Klenowski, P. M., & Dodson, K. D. (2016). Who commits white-collar crime, and what do we know about them? In S. R. van Slyke, M. L. Benson, & F. T. Cullen (Eds.), The oxford handbook of white-collar crime. Oxford University Press.
Klenowski, P. M., Copes, H., & Mullins, C. W. (2011). Gender, identity, and accounts: How white collar offenders do gender when making sense of their crimes. Justice Quarterly, 28(1), 46–69. https://doi.org/10.1080/07418825.2010.482536
Kowalski, B. M., & Scheitle, C. P. (2020). Sexual identity and attitudes about gender roles. Sexuality & Culture, 24(3), 671–691. https://doi.org/10.1007/s12119-019-09655-x
Kroska, A., Schmidt, M. R., & Schleifer, C. (2019). Political ideology and concerns about white-collar crime: Exploring the switch hypothesis. Social Science Quarterly, 100(5), 1685–1698. https://doi.org/10.1111/ssqu.12654
Lindsay, L. L. (2011). Gender roles: A sociological perspective (5th ed.). Pearson Education Inc.
Liu, L., & Miller, S. L. (2019). Intersectional approach to top executive white-collar offenders’ discourses: A case study of the Martha Stewart and Sam Waksal insider trading scandal. Sociological Inquiry, I89I(4), 600–623. https://doi.org/10.1111/soin.12265
Lochner, L. (2004). Education, work, and crime: A human capital approach. International Economic Review, 45(3), 811–843. https://doi.org/10.1111/j.0020-6598.2004.00288.x
Logan, J. R., & Stults, B. (2011). The persistence of segregation in the metropolis: New findings from the 2010 census. Available at: https://s4.ad.brown.edu/Projects/Diversity/Data/Report/report2.pdf
Maeder, E. M., Yamamoto, S., & McManus, L. A. (2018). Methodology matters: Comparing sample types and data collection methods in a juror decision-making study on the influence of defendant race. Psychology, Crime, and Law, 24(7), 687–702. https://doi.org/10.1080/1068316X.2017.1409895
Matherly, T. (2019). A panel for lemons? Positivity bias, reputation systems and data quality on MTurk. European Journal of Marketing, 53(2), 195–223. https://doi.org/10.1108/EJM-07-2017-0491
Messerschmidt, J. W. (1993). Masculinities and crime: Critique and reconceptualization of theory. Rowman & Littlefield Publishers, Inc.
Messerschmidt, J. W. (2018). Masculinities and crime: A quarter century of theory and research. Rowman & Littlefield Publishers, Inc.
Messner, M. (1993). “Changing men” and feminist politics in the United States. Theory and Society, 22(5), 723–737. https://doi.org/10.1007/BF00993545
Munsch, C. L., & Gruys, K. (2018). What threatens, defines: Tracing the symbolic boundaries of contemporary masculinity. Sex Roles, 79, 375–392. https://doi.org/10.1007/s11199-017-0878-0
Munsch, C. L., & Willer, R. (2012). The role of gender identity threat in perceptions of date rape and sexual coercion. Violence against Women, 18(10), 1125–1146. https://doi.org/10.1177/1077801212465151
Nakano Glenn, E. (2004). Unequal freedom: How race and gender shaped American citizenship and labor. Harvard University Press.
Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on amazon mechanical turk. Judgement and Decision Making, 5(5), 411–419.
Paschall, M. J., Fishbein, D. H., Hubal, R. C., & Eldreth, D. (2005). Psychometric properties of virtual reality vignette performance measures: A novel approach for assessing adolescents’ social competency skills. Health Education Research, 20(1), 61–70. https://doi.org/10.1093/her/cyg103
Peer, E., Vosgerau, J., & Acquisti, A. (2014). Reputation as a sufficient condition for data quality on Amazon Mechanical Turk. Behavioral Research Methods, 46(4), 1023–1031. https://doi.org/10.3758/s13428-013-0434-y
Peralta, R. L., & Tuttle, L. A. (2013). Male perpetrators of heterosexual-partner-violence: The role of threats to masculinity. The Journal of Men’s Studies, 21(3), 255–276. https://doi.org/10.3149/jms.2103.255
Persky, S., Kaphingst, K. A., Condit, C. M., & McBride, C. M. (2007). Assessing hypothetical scenario methodology in genetic susceptibility testing analog studies: A quantitative review. Genetics in Medicine, 9, 727–738. https://doi.org/10.1097/GIN.0b013e318159a344
Piquero, N. L., Vieraitis, L. M., Piquero, A. R., Tibbetts, S. G., & Blankenship, M. (2013). The interplay of gender and ethics in corporate offending decision-making. Journal of Contemporary Criminal Justice, 29(3), 385–398. https://doi.org/10.1177/1043986213496379
Potter, H. (2013). Intersectional criminology: Interrogating identity and power in criminological research and theory. Critical Criminology, 21(3), 305–318. https://doi.org/10.1007/s10612-013-9203-6
Rai, T. S., & Diermeier, D. (2015). Corporations are cyborgs: Organizations elicit anger but not sympathy when they can think but cannot feel. Organizational Behavior and Human Decision Processes, 126, 18–26. https://doi.org/10.1016/j.obhdp.2014.10.001
Ruhland, E. L., & Selzer, N. (2020). Gender differences in white-collar offending and supervision. Criminal Justice Studies, 33(1), 13–30. https://doi.org/10.1080/1478601X.2020.1709950
Schilt, K., & Westbrook, L. (2009). Doing gender, doing heteronormativity: “Gender normal”, transgender people, and the social maintenance of heterosexuality. Gender & Society, 23(4), 440–464. https://doi.org/10.1177/0891243209340034
Simon, R. (1976). American women and crime. The Annals of the American Academy of Political and Social Science, 423(1), 31–46.
Sohoni, T., & Rorie, M. (2019). The whiteness of white-collar crime in the United States: Examining the role of race in a culture of elite white-collar offending. Theoretical Criminology, 25(1), 1–22. https://doi.org/10.1177/1362480619864312
Steffensmeier, D., & Allan, E. (1996). Gender and crime: Toward a gendered theory of female offending. Annual Review of Sociology, 22, 459–487. https://doi.org/10.1146/annurev.soc.22.1.459
Steffensmeier, D., Schwartz, J., & Roche, M. (2013). Gender and twenty-first century corporate crime: Female involvement and the gender gap in Enron-era corporate frauds. American Sociological Review, 78(3), 448–476. https://doi.org/10.1177/0003122413484150
Sutherland, E. H. (1940). White collar criminality. American Sociological Review, 5(1), 1–12. https://doi.org/10.2307/2083937
Sutherland, E. H. (1941). Crime and business. Annals of the American Academy of Political and Social Science, 5, 112–118. https://doi.org/10.1177/000271624121700114
Thomas, K. A., & Clifford, S. (2017). Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments. Computers in Human Behavior, 77, 184–197. https://doi.org/10.1016/j.chb.2017.08.038
Twenge, J. (1997). Changes in masculine and feminine traits over time: A meta-analysis. Sex Roles, 36(5–6), 305–325. https://doi.org/10.1007/BF02766650
United States Census Bureau. (2022). QuickFacts: United States. Available at: https://www.census.gov/quickfacts/fact/table/US/PST040221
Van Gelder, J. L., Nee, C., Otte, M., Demetriou, A., van Sintemaartensdijk, I., & van Prooijen, J. W. (2016). Virtual burglary: Exploring the potential of virtual reality to study burglary in action. Journal of Research in Crime and Delinquency, 54(1), 29–62. https://doi.org/10.1177/0022427816663997
Van Laar, C., Meeussen, L., Veldman, J., Van Grootel, S., Sterk, N., & Jacobs, C. (2019). Coping with stigma in the workplace: Understanding the role of threat regulation, supportive factors, and potential hidden costs. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01879
Vandello, J. A., & Bosson, J. K. (2013). Hard won and easily lost: A review and synthesis of theory and research on precarious manhood. Psychology of Men & Masculinity, 14(2), 101–113. https://doi.org/10.1037/a0029826
Vandello, J. A., Bosson, J. K., Cohen, D., Burnaford, R., & Weaver, J. (2008). Precarious manhood. Journal of Personality and Social Psychology, 95, 1325–1339. https://doi.org/10.1037/a0012453
Vieraitis, L. M., Piquero, N. L., Piquero, A. R., Tibbetts, S. G., & Blankenship, M. (2012). Do women and men differ in their neutralizations of corporate crime? Criminal Justice Review, 37(4), 478–493. https://doi.org/10.1177/0734016812465745
Wallander, L. (2009). 25 years of factorial surveys in sociology: A review. Social Science Research, 38(3), 505–520. https://doi.org/10.1016/j.ssresearch.2009.03.004
Weisburd, D., Waring, E., & Wheeler, S. (1990). Class, status, and the punishment of white-collar criminals. Law & Social Inquiry, 15(2), 223–243. https://doi.org/10.1111/j.1747-4469.1990.tb00587.x
Weisburd, D., Wheeler, S., Waring, E., & Bode, N. (1991). Crimes of the middle classes: White-collar offenders in the federal courts. Yale University Press.
West, C., & Zimmerman, D. H. (1987). Doing gender. Gender & Society, 1(2), 125–151. https://doi.org/10.1177/0891243287001002002
Willer, R., Conlon, B., Rogalin, C. L., & Wojnowicz, M. T. (2013). Overdoing gender: A test of the masculine overcompensation thesis. American Journal of Sociology, 118(4), 980–1022. https://doi.org/10.1086/668417
Willer, R. (2005). Overdoing gender: A test of the masculine overcompensation thesis. Paper presented at the meeting of the American Sociological Association, Philadelphia, PA.
Winterbottom, A., Bekker, H. L., Conner, M., & Mooney, A. (2008). Does narrative information bias individual’s decision making? A systematic review”. Social Science and Medicine, 67(12), 2079–2088. https://doi.org/10.1016/j.socscimed.2008.09.037
Woodruffe-Burton, H., & Bairstow, S. (2013). Countering heteronormativity: Exploring the negotiation of butch lesbian identity in the organizational setting. Gender in Management, 28(6), 359–374. https://doi.org/10.1108/GM-01-2013-0015
Xiang, W., & Clarke, K. (2003). The use of scenarios in land-use planning. Environment and Planning B: Urban Analytics and City Science, 30(6), 885–909. https://doi.org/10.1068/b2945
Zietz, D. (1981). Women who embezzle or defraud: A study of convicted felons. Praeger.
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The authors would like to thank Dr. Tereza Trejbalová for her comments on an earlier draft of this manuscript. We would also like to thank the two anonymous reviewers for their insightful and helpful comments.
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This study was funded by the Criminal Justice Graduate Research Fund Award given by the College of Urban Affairs at the University of Nevada, Las Vegas.
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Appendix A. Embezzlement vignette scenario
Appendix A. Embezzlement vignette scenario
You hold a middle-management position within the Accounting Department at a Fortune 500 company.
In total, you oversee 20 employees in your department. Each of these employees has access to different financial accounts for the company. As a manager, you have access to all of the accounts handled by your employees. This access allows you to transfer company funds to accounts both within and outside of the company.
Your department handles the transaction of thousands of dollars on a daily basis, in which only a company audit would likely identify any improper transactions. Because of this, a small transaction of only a few thousand dollars would likely go unnoticed.
In terms of probabilities (from 0% = no chance at all to 110% = you would be certain to do this), how likely are you to transfer money to your personal account?
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Reed, S.M., Rorie, M.L. More than “male” and “female”: the role of gender identity in white-collar offending intentions. Crime Law Soc Change 80, 79–103 (2023). https://doi.org/10.1007/s10611-023-10074-1
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DOI: https://doi.org/10.1007/s10611-023-10074-1