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The Influence of Gender-Ethnic Intersectionality on Gender Stereotypes about IT Skills and Knowledge

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Abstract

One line of investigation in attempting to better understand the gender imbalance in the information technology (IT) field is to examine gender stereotypes about the skills and knowledge in the IT profession. A survey of 4046 university students in the United States was conducted to examine gender stereotypes held by contemporary university students (White, Black and Latino men and women) about the skills and knowledge in the IT profession. The Individual Differences Theory of Gender and IT was used as the motivating theory for this study because it enabled the incorporation of gender-ethnic intersectionality in the research design. The results revealed that while gender stereotypes about the skills and knowledge involved in the IT profession do exist, they are not uniform across all members of a gender group. The men tended to rate all of the skills as more masculine than did the women respondents. Technical skills were more consistently stereotyped by both men and women in each of the gender-ethnic groups than were nontechnical skills. However, gender stereotypes about nontechnical skills were more contested and revealed both within-gender and within-ethnicity variation. The women students' rating of nontechnical skills as less masculine than the men suggests that these nontechnical skills are being incorporated into the women's sense of gender identity. These results show that gender-ethnic intersectionality provides one important explanation for within-gender variation in gender stereotypes that are held by contemporary university students. These findings suggest promising avenues for interventions to address not only the masculine gender stereotyping of skills in the IT profession, but also differential gender stereotyping of technical vs. nontechnical skills and variation in gender stereotyping by the intersectionality of gender-ethnic groups.

References

  1. Adya, M., and Kaiser, K. (2005). Early Determinants of Women in the IT Workforce: A Model of Girls' Career Choices. Information Technology and People, 18, 3, 230--259.Google ScholarGoogle ScholarCross RefCross Ref
  2. Adya, M.P. (2008). Work Alienation Among IT Workers: A Cross-cultural Gender Comparison. Proceedings of the 2008 ACM SIGMIS CPR Conference on Computer Personnel Doctoral Consortium and Research (ACM SIGMIS CPR '08), Charlottesville, VA, April 3--5, 66--69. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. American Council on Education. (2006). Minorities in Higher Education: Twenty-Second Annual Status Report. Washington, DC.Google ScholarGoogle Scholar
  4. Armstrong, D., and Riemenschneider, C. (2014). The Barriers Facing Women in the Information Technology Profession: An Exploratory Study. Proceedings of the ACM SIGMIS Computers and People Research Conference (ACM SIGMIS CPR '14), Singapore, May 29-31, 85--96. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Atwater, L. E., Brett, J. F., Waldman, D., DiMare, L., and Hayden, M. V. (2004). Men's and Women's Perceptions of the Gender Typing of Management Subroles. Sex Roles, 50, 3&4, 191--199.Google ScholarGoogle Scholar
  6. Badagliacco, J. (1990). Gender and Race Differences in Computing Attitudes and Experience, Social Science Computer Review, 8, 1, 42--63.Google ScholarGoogle ScholarCross RefCross Ref
  7. Bayer Corporation (2010). Bayer Facts of Science Education XIV: Female and Minority Chemists and Chemical Engineers Speak about Diversity and Underrepresentation in STEM. www.womenscolleges.org/files/u1/BayerFactsofScienceEducation.pdfGoogle ScholarGoogle Scholar
  8. Bem, S.L. (1981). Gender Schema Theory: A Cognitive Account of Sex Typing. Psychological Review, 88, 4, 354--364.Google ScholarGoogle ScholarCross RefCross Ref
  9. Butler, J. (1990). Gender Trouble: Feminism and the Subversion of Identity. Routledge: New York.Google ScholarGoogle Scholar
  10. Cain, C. (2012). Underrepresented Groups in Gender and STEM: The Case of Black Males in CISE. Proceedings of the 2012 ACM SIGMIS Computers and People Research Conference (ACM SIGMIS CPR '12), Milwaukee, WI, May 31- June 2, 97--102. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Cain, C. and Trauth, E.M. (2013). Stereotype Threat: The Case of Black Males in the IT Profession. Proceedings of the 2013 ACM SIGMIS Computers and People Research Conference (ACM SIGMIS CPR '13), Cincinnati, OH, May 30-June 1, 57--62. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Cain, C. and Trauth, E.M. (2015). Theorizing the Underrepresentation of Black Males in Information Technology. Proceedings of the 21st Americas Conference on Information Systems (AMCIS ?15), Puerto Rico, August 13--15.Google ScholarGoogle Scholar
  13. Carter, R.T. and Goodwin, L. (1994). Racial Identity and Education. Review of Research in Education, 20, 291--336.Google ScholarGoogle Scholar
  14. Cejka, M.A., and Eagly, A.H. (1999). Gender-Stereotypic Images of Occupations Correspond to the Sex Segregation of Employment. Personality and Social Psychology Bulletin, 25, 4, 412--423.Google ScholarGoogle ScholarCross RefCross Ref
  15. Child Trends Databank. (2004). Child Trends' Calculations of U.S. Census Bureau, School Enrollment-Social and Economic Characteristics of Students. Detailed Tables: Table (http://www.census.gov/population/www/socdemo/school/cps2004.html)Google ScholarGoogle Scholar
  16. Cokley, K.O. (2002). Ethnicity, Gender and Academic Self-Concept: A Preliminary Examination of Academic Disidentification and Implications for Psychologists. Cultural Diversity and Ethnic Minority Psychology, 8, 4, 379--388.Google ScholarGoogle ScholarCross RefCross Ref
  17. Cokley, K.O. (2003). What Do We Know about the Motivation of African American Students? Challenging the ?Anti-Intellectual' Myth. Harvard Educational Review, 73, 524--558.Google ScholarGoogle ScholarCross RefCross Ref
  18. Cokley, K.O. (2005). Racial(ized) Identity, Ethnic Identity, and Afrocentric Values: Conceptual and Methodological Challenges in Understanding African American Identity. Journal of Counseling Psychology, 52, 4, 517--526.Google ScholarGoogle ScholarCross RefCross Ref
  19. Collins, P. (1991). Black Feminist Thought: Knowledge, Consciousness and the Politics of Empowerment. New York: Routledge.Google ScholarGoogle Scholar
  20. Eagly, H., and Wood, W. (1991). Explaining Sex Differences in Social Behavior: A Meta-analytical Perspective. Personality and Social Psychology Bulletin, 17, 306--315.Google ScholarGoogle ScholarCross RefCross Ref
  21. Eagly, A.H., Wood, W., and Deikman, A.B. (2000). Social Role Theory of Sex Differences and Similarities: A Current Appraisal. In Eckes, T. and Trautner, H.M. (Eds.), The Developmental Social Psychology of Gender, Mahweh, NJ: Erlbaum, 123--174.Google ScholarGoogle Scholar
  22. Flores, G. M. (2011). Latino/as in the Hard Sciences: Increasing Latina/o Participation in Science, Technology, Engineering and Math (STEM) Related Fields. Latino Studies, 9, 2&3, 327--335.Google ScholarGoogle Scholar
  23. Franklin, A.J. (1999). Invisibility Syndrome and Racial Identity Development in Psychotherapy and Counseling African American Men. The Counseling Psychologist, 27, 6, 761--793.Google ScholarGoogle ScholarCross RefCross Ref
  24. Frizell, S. and Nave, F. (2008). Reexamining the Problem of Engineering Persistence of African-American Students. In Proceedings of the 38th ASEE/IEEE Frontiers in Education Conference, Saratoga Springs, NY.Google ScholarGoogle Scholar
  25. Gallivan, M. (2004). Examining IT Professionals' Adaptation to Technological Change: The Influence of Gender and personal Attributes. The Database for Advances in Information Systems, 35, 3, 28--49. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Gallivan, M., Adya, M., Ahuja, A., Hoonakker, P., and Woszczynski, A. (2006). Workforce Diversity in the IT Profession: Recognizing and Resolving the Shortage of Women and Minority Employees. Proceedings of the 2006 ACM SIGMIS CPR Conference on Computer Personnel Research (ACM SIGMIS CPR '06), Pomona, CA, April 13--15, 44--45. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Gandara, P. (2006). Strengthening the Academic Pipeline Leading to Careers in Math, Science, and Technology for Latino Students. Journal of Hispanic Higher Education, 5, 3, 222--237.Google ScholarGoogle ScholarCross RefCross Ref
  28. Gilroy, M. (2010). America COMPETES Act Encourages Latino Access to STEM Careers. The Hispanic Outlook in Higher Education, 20, 18--20. University of Southern California, School of Policy, Planning, and Development. Los Angeles, CA.Google ScholarGoogle Scholar
  29. Ginger, J., Kehoe, A. and Khanal, N. (2010). Exploring Methods in Community Informatics. Paper presentation at the iConference 2010, University of Illinois at Urbana-Champaign, IL, February 3-6.Google ScholarGoogle Scholar
  30. Glick, P. (1991). Trait-based and Sex-based Discrimination in Occupational Prestige, Occupational Salary, and Hiring. Sex Roles 25, 5--6, 351--378.Google ScholarGoogle ScholarCross RefCross Ref
  31. Glick, P., Wilk, K., and Perreault, M. (1995). Images of Occupations: Components of Gender and Status in Occupational Stereotypes. Sex Roles 32, 9, 565--582.Google ScholarGoogle ScholarCross RefCross Ref
  32. Gonzales, P.M., Blanton, H., and Williams, K.J. (2002). The Effects of Stereotype Threat and Double-Minority Status on the Test Performance of Latino Women. Personality and Social Psychology Bulletin, 28, 659--670.Google ScholarGoogle ScholarCross RefCross Ref
  33. Gottfredson, L. S. (1981). Circumscription and Compromise: A Developmental Theory of Occupational Aspirations. Journal of Counseling Psychology, 28, 6, 545--579.Google ScholarGoogle ScholarCross RefCross Ref
  34. Greening, T. (1999). Gender Stereotyping in a Computer Science Course. Proceedings of the 1999 ACM SIGCSE Technical. Symposium on Computer Science Education (ACM SIGCSE ?99), New Orleans, LA, Mar 24--28, 203--207. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Guzman, I.R., Joseph, D., Papamichail, K.N., and Stanton, J.M. (2007). RIP - Beliefs About IT Culture: Exploring National and Gender Differences. Proceedings of the 2007 ACM SIGMIS CPR Conference on Computer Personnel Research: The Global Information Technology Workforce (ACM SIGMIS CPR '07), St. Louis, MO, April 19--21, 217--220. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Harris, A. C. (1996). African American and Anglo-American Gender Identities: An Empirical Study. Journal of Black Psychology, 22, 182--194.Google ScholarGoogle ScholarCross RefCross Ref
  37. Higher Education Research Institute (2007). Survey of the American freshman: Special tabulations (Los Angeles, CA), cited in National Science Foundation, Division of Science Resources Statistics, 2009, Women, minorities, and persons with disabilities in science and engineering: 2009 (NSF 09--305) (Arlington, VA), Table B-8.Google ScholarGoogle Scholar
  38. Hooks, b. (2004). We Real Cool: Black Men and Masculinity, New York: Routledge.Google ScholarGoogle Scholar
  39. Huang, H., Kvasny, L., Joshi, KD., Trauth, E., and Mahar, J. (2009). Synthesizing IT Job Skills Identified in Academic Studies, Practitioner Publications and Job Ads. Proceedings of the ACM SIGMIS Computer Personnel Research Conference (ACM SIGMIS CPR '09), Limerick, Ireland, May 28-30, 19--25. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Hull, R. P., and Umansky, P. (1997). An Examination of Gender Stereotyping as an Explanation for Vertical Job Segregation in Public Accounting. Accounting, Organizations and Society, 22, 6, 507--528.Google ScholarGoogle ScholarCross RefCross Ref
  41. Joshi, K. D., and Kuhn, K. (2007). What It Takes to Succeed in Information Technology Consulting: Exploring the Gender Typing of Critical Attributes. Information Technology and People, 20, 4, 400--424.Google ScholarGoogle ScholarCross RefCross Ref
  42. Joshi, K.D., Kvasny, L., McPherson, S., Trauth, E., Kulturel-Konak, S. and Mahar, J. 2010. ?Choosing IT As A Career: Exploring the Role of Self-efficacy and Perceived Importance of IT Skills.? Proceedings of the International Conference on Information Systems (ICIS '10) St. Louis, MO, December.Google ScholarGoogle Scholar
  43. Joshi, K. D. and Schmidt, N. (2006). Is the Information Systems Profession Gendered? Characterization of IS Professionals and IS Careers. The Data Base for Advances in Information System, 37, 4, 26--41. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Katz, V. S. (2011). Children Being Seen and Heard: How Youth Contribute to their Migrant Families' Adaptation, Publidisa, Spain, 29--32.Google ScholarGoogle Scholar
  45. Konrad, A. M., Ritchie, J.E., Lieb, P., and Corrigall, E. (2000). Sex Differences and Similarities in Job Attribute Preferences: A Meta-analysis. Psychological Bulletin, 126, 593--641.Google ScholarGoogle ScholarCross RefCross Ref
  46. Kuhn, K. and Joshi, K. D. (2009). The Reported and Revealed Importance of Job Attributes: Implications of Gender Differences Among Information Technology Students. The Data Base for Advances in Information System, 40, 3, 40--60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Kvasny, L. (2003). Triple Jeopardy: Race, Gender and Class Politics of Women in Technology. Proceedings of the 2003 SIGMIS Conference on Computer Personnel Research: Freedom in Philadelphia-leveraging Differences and Diversity in the IT Workforce (ACM SIGMIS CPR '03), Philadelphia, PA, April 10--12, 112--116. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Kvasny, L. (2006). Let the Sisters Speak: Understanding Information Technology from the Standpoint of the 'Other'. The Data Base for Advances in Information Systems, 37, 4, 13--25. Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Kvasny, L., Trauth, E.M. and Morgan, A. (2009). Power Relations in IT Education and Work: The Intersectionality of Gender, Race and Class. Journal of Information, Communicationa nd Ethics in Society (Special Issue on ICTs and Social Inclusion), 7(2&3), 96--118.Google ScholarGoogle Scholar
  50. Margolis, J., Estrella, R., Goode, J., Holme, J.J. and Nao, K. (2008). Stuck in the Shallow End: Education, Race, and Computing. The MIT Press, Cambridge, MA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. May, G.S. and Chubin, D.E. (2003). A Retrospective on Undergraduate Engineering Success for Underrepresented Minority Students. Journal of Engineering Education, 92, 1, 27--38.Google ScholarGoogle ScholarCross RefCross Ref
  52. Morgan, A.J., Myers, Y. and Trauth, E.M. (2015). Consumer Demographics and Internet based Health Information Search in the United States: The Intersectionality of Gender, Race and Class. International Journal of E-Health and Medical Communications, 6, 1, 58--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. National Center for Educational Statistics. (2011). Digest of Education Statistics. Retrieved from http://nces.ed.gov/programs/digest/2010menu_tables.aspGoogle ScholarGoogle Scholar
  54. National Science Foundation. (2008). Women, Minorities, and Persons with Disabilities in Science and Engineering. Computing Research Association.Google ScholarGoogle Scholar
  55. National Science Foundation. (2011). Women, Minorities, and Persons with Disabilities in Science and Engineering. http://www.nsf.gov/statistics/wmpd/archives/wmpd 2011.zipGoogle ScholarGoogle Scholar
  56. National Science Foundation. (2012). Science and Engineering Indicators. National Science Board. Arlington, VA (NSB 12-01). http://www.nsf.gov/statistics/seind12/start.htmGoogle ScholarGoogle Scholar
  57. Nauert PhD, R. (2012). Study Finds Overlap in Race-Gender Stereotypes. Psych Central. Retrieved on June 14, 2013, from http://psychcentral.com/news/2012/12/04/study-finds-overlap-in-race-gender-stereotypes/48553.htmlGoogle ScholarGoogle Scholar
  58. Nielsen, S.H., von Hellens, L.A., Greenhill, A., and Pringle, R. (1997). Collectivism and Connectivity: Culture and Gender in Information Technology Education, Proceedings of the 1997 ACM SIGCPR Conference on Computer Personnel Research (ACM SIGCPR '97), St. Louis, MO, April 19--21, 9--13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Nielsen, S.H., von Hellens, L.A., Greenhill, A., and Pringle, R. (1998). Conceptualizing the Influence of Cultural and Gender Factors on Students' Perceptions of IT Studies and Careers. Proceedings of the 1998 ACM SIGCPR Conference on Computer Personnel Research (ACM SIGCPR '98), Boston, MA, March 26--28, 86--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Nielsen, S.H., von Hellens, L.A., Greenhill, A., and Pringle, R. (2000). People, Business and IT Skills: the Perspective of Women in the IT Industry. Proceedings of the 2000 ACM SIGCPR Conference on Computer Personnel Research (ACM SIGCPR '00), Chicago, IL, April 6--8, 152--157. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Outlay, C., Platt, A., and Conroy, K. (2014). Getting IT Together: Linking Computing Intervention Camps with Computing Careers. Proceedings of the ACM SIGMIS Computers and People Research Conference (ACM SIGMIS CPR '14), Singapore, May 29-31, 79--84 Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Perna, L., Lundy-Wagner, V., Drezner, N. D., Gasman, M., Yoon, S., Bose, E. and Gary, S. (2009). The Contribution of HBCUs to the Preparation of African American Women for STEM Careers: A Case Study. Research in Higher Education, 50, 1--23.Google ScholarGoogle ScholarCross RefCross Ref
  63. Pepitone, J. (2011). Silicon Valley Fights to Keep its Diversity Data Secret. CNNMoney.com. http://money.cnn.com/2011/11/09/tecnology/diversity_silicon_valley/indes.htm?iid=HPGoogle ScholarGoogle Scholar
  64. Riemenschneider, C., Armstrong, D., Allen, M. and Reid, M. (2006). Barriers Facing Women in the IT Workforce. The Data Base for Advances in Information Systems, 37, 4, 58--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  65. Risman, B.J. and Davis, G. (2013). From Sex Roles to Gender Structure. Current Sociology 61, 5-6, 733--755.Google ScholarGoogle ScholarCross RefCross Ref
  66. Rochin, R.I. and Mello, S.F. (2007). Latinos in Science. Journal of Hispanic Higher Education, 6, 4, 305--355.Google ScholarGoogle ScholarCross RefCross Ref
  67. Rudman, L.A. and Glick, P. (2001). Prescriptive Gender Stereotypes and Backlash Toward Agentic Women. Journal of Social Issues, 57, 4, 743--762.Google ScholarGoogle ScholarCross RefCross Ref
  68. Rudman, L.A., Moss-Racusin, C.A., Phelan, J.E. and Nauts, S. (2012). Status Incongruity and Backlash Effects: Defending the Gender Hierarchy Motivates Prejudice Against Female Leaders. Journal of Experimental Social Psychology, 48, 165--179.Google ScholarGoogle ScholarCross RefCross Ref
  69. Simard, C. (2009) Obstacles and Solutions for Underrepresented Minorities in Technology. Anita Borg Institute for Women and Technology. http://anitaborg.org/files/obstacles-andsolutions-for-underrepresented-minorities-in-technology.pdfGoogle ScholarGoogle Scholar
  70. Smith, J. (1997). Different for Girls: How Culture Creates Women. Chatto and Windus Press, London, England.Google ScholarGoogle Scholar
  71. Smith, S. M. (2005). The Digital Divide: Gender and Racial Differences in Information Technology Education. Information Technology, Learning, and Performance Journal, 23,1, 13--23.Google ScholarGoogle Scholar
  72. Tapia, A.H. (2006). Hostile Work Environment.Com: Increasing Participation of Underrepresented Groups, Lessons Learned from the dot-com Era. The Data Base for Advances in Information Systems, 37, 4, 79--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. Taylor, V. (2002). Women of Color in Computing, SIGCSE Bulletin, 34, 2, 22--23. Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. Tomas Rivera Policy Institute. (2008). Latinos in STEM Professions: Understanding Challenges and Opportunities for Next Steps. A Qualitative Study Using Stakeholder Interviews, Tomas Rivera Policy Institute, Los Angeles, CA.Google ScholarGoogle Scholar
  75. Torkzadeh, G., and Koufteros, X. (1994). Factorial Validity of a Computer Self-Efficacy Scale and the Impact of Computer Training. Educational and Psychological Measurement, 54, 3, 813--821.Google ScholarGoogle ScholarCross RefCross Ref
  76. Trauth, E.M. (2002). Odd Girl Out: An Individual Differences Perspective on Women in the IT Profession. Information Technology and People, 15, 2, 98--118.Google ScholarGoogle ScholarCross RefCross Ref
  77. Trauth, E.M. (2013). The Role of Theory in Gender and Information Systems Research. Information and Organization, 23, 277--293. Google ScholarGoogle ScholarDigital LibraryDigital Library
  78. Trauth, E.M. (2006). Theorizing Gender and Information Technology Research: in Trauth, E.M., (ed.) Encyclopedia of Gender and Information Technology, Idea Group Publishing, Hershey, PA, 1154--1159.Google ScholarGoogle Scholar
  79. Trauth, E.M., Farwell, D.W., and Lee, D. (1993). The IS Expectation Gap: Industry Expectations versus Academic Preparation, MIS Quarterly, 17, 3, 293--307. Google ScholarGoogle ScholarDigital LibraryDigital Library
  80. Trauth, E., Joshi, K.D., Kvasny, L., Chong, J., Kulturel, S, and Mahar, J. (2010). Millennials and Masculinity: A Shifting Tide of Gender Typing of ICT? Proceedings of the Americas Conference on Information Systems (AMCIS '10), Lima, Peru, August 12--15.Google ScholarGoogle Scholar
  81. Trauth, E.M., Cain, C., Joshi, K.D., Kvasny, L., and Booth, K. (2012a). Embracing Intersectionality in Gender and IT Career Choice Research, Proceedings of the ACM SIGMIS Computers and People Research Conference (ACM SIGMIS CPR '12), Milwaukee, WI, May 31 - June 2, 69--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. Trauth, E.M., Cain, C., Joshi, K.D., Kvasny, L. and Booth, K. (2012b). Understanding Underrepresentation in IT through Intersectionality, Proceedings of the 2012 iConference, Toronto, CA, February 7--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  83. Trauth, E.M. and Quesenberry, J. (2006). Are Women and Underserved Community in the Information Technology Profession? Proceedings of the Twenty-seventh International Conference on Information Systems (ICIS '06). Milwaukee, WI, December 10--13.Google ScholarGoogle Scholar
  84. Trauth, E.M., Quesenberry, J.L. and Huang, H. (2009). Retaining Women in the U.S. IT Workforce: Theorizing the Influence of Organizational Factors. European Journal of Information Systems (Special Issue on Meeting the Renewed Demand for IT Workers), 18, 476--497.Google ScholarGoogle Scholar
  85. Trauth, E.M., Quesenberry, J. and Huang, H. (2008a). A Multicultural Analysis of Factors Influencing Career Choice for Women in the Information Technology Workforce. Journal of Global Information Management, 16, 4, 1--23.Google ScholarGoogle ScholarCross RefCross Ref
  86. Trauth, E.M., Quesenberry, J.L., and Huang, H. (2006). Crosscultural Influences on Women in the IT Workforce. Proceedings of the 2006 ACM SIGMIS CPR conference on Computer Personnel Research: Forty Four Years of Computer Personnel Research: Achievements, Challenges & the Future (ACM SIGMIS CPR '06), Pomona, CA, April 13--15, 12--19. Google ScholarGoogle ScholarDigital LibraryDigital Library
  87. Trauth, E.M., Quesenberry, J.L., and Morgan, A.J. (2004). Understanding the Under Representation of Women in IT: Toward a Theory of Individual Differences. Proceedings of the 2004 SIGMIS Computer Personnel Research Conference (ACM SIGMIS CPR '04), Tucson, AZ, April 22--24, 114--119. Google ScholarGoogle ScholarDigital LibraryDigital Library
  88. Trauth, E.M., Quesenberry, J. and Yeo, B. (2008b). Environmental Influences on Gender in the IT Workforce. The Data Base for Advances in Information Systems, 14, 4, 8--32. Google ScholarGoogle ScholarDigital LibraryDigital Library
  89. Tyson, W., Lee, R., Borman, K. M., and Hanson, M.A. (2007). Science, Technology, Engineering, and Mathematics (STEM) Pathways: High School Science and Mathematics Coursework and Postsecondary Degree Attainment. Journal of Education for Students Placed at Risk, 12, 3, 243--270.Google ScholarGoogle ScholarCross RefCross Ref
  90. U.S. Census Bureau (2005). American Community Survey. Washington, DC: Government Printing Office.Google ScholarGoogle Scholar
  91. U.S. Census Bureau. (2010). http://www.census.gov/population/www/socdemo/hispanic/hispanic_pop_presentation.htmlGoogle ScholarGoogle Scholar
  92. U.S. Bureau of Labor Statistics. (2011). Labor Force Characteristics by Race and Ethnicity. http://www.bls.gov/cps/cpsrace2011.pdfGoogle ScholarGoogle Scholar
  93. Von Hellens, L.A., Nielsen, S.H., and Trauth, E.M. (2001). Breaking and Entering the Male Domain: Women in the IT Industry. Proceedings of the 2001 ACM SIGCPR Conference on Computer Personnel Research (ACM SIGCPR '01), San Diego, CA, April 19--21, 16--120. Google ScholarGoogle ScholarDigital LibraryDigital Library
  94. West, C. and Zimmerman, D.H. (1987). Doing Gender. Gender and Society, 1, 2, 125--151.Google ScholarGoogle ScholarCross RefCross Ref
  95. Willemsen, T. M. (2002). Gender Typing of the Successful Manager - A Stereotype Reconsidered. Sex Roles, 46, 11/12, 385--391.Google ScholarGoogle Scholar
  96. Wilson, M. (2004). A Conceptual Framework for Studying Gender in Information Systems Research. Journal of Information Technology, 19, 81--92.Google ScholarGoogle ScholarCross RefCross Ref
  97. Windeler, J.B. and Riemenschneider, C.K. (2014). The Influence of Ethnicity on Organizational Commitment and Merit Pay of IT Workers: The Role of Leader Support. Information Systems Journal. 26, 2, 157--190.Google ScholarGoogle ScholarDigital LibraryDigital Library
  98. Windeler, J.B. and Riemenschneider, C. (2013). Organizational Commitment of IT Workers: Leader Support and Differences Across Gender and Race. Proceedings of 2013 ACM SIGMIS Computers and People Research Conference (ACM SIGMIS CPR '13), Cincinnati, OH, May 30 ? June 1, 3--14. Google ScholarGoogle ScholarDigital LibraryDigital Library
  99. Woodfield, R. (2002). Woman and Information Systems Development: Not just a Pretty (Inter)Face? Information Technology & People, 15, 2, 119--138.Google ScholarGoogle ScholarCross RefCross Ref

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