A Social Cognitive Construct Validation: Determining Women's and Men's Success in Engineering Programs

References

• Ablard, K. E., Lipshultz, R. E., & Rachelle, E. (1998). Self-regulated learning in high achieving students: Relations to advanced reasoning, achievement goals, and gender. Journal of Educational Psychology 90(1), 94–101.
   Web of Science ®Google Scholar
• Aronson, E., (1999). The social animal. New York: Worth.
   Google Scholar
• Astin, H. S., & Sax, L. J. Undergraduate women in science: Personal and environmental influences on the development of scientific talent. Los Angeles: Higher Education Research Institute, University of California, Los Angeles.
   Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Bean, J. P. (1980). Dropouts and turnover: The synthesis and test of a causal model of student attrition. Research in Higher Education, 12, 155–187.
   Web of Science ®Google Scholar
• Bell, A. E., Sherman, S. J., Iserman, E., & Logel, C. (2003). Stereotype threat and women's performance in engineering. Journal of Engineering Education, 92(4), 307–312.
   Google Scholar
• Bentler, P. M. (1995). EQS structural equation program manual. Encino, CA: Multivariate Software.
   Google Scholar
• Brainard, S. G., & Carlin, L. (1998, October). A six-year longitudinal study of undergraduate women in engineering and science. Journal of Engineering Education, 87(4), 369–375.
   Google Scholar
• Brown, S. V. (1995). Minority women in graduate science and engineering education. Paper presented at the meeting of the American Association for the Advancement of Science (AAAS) annual meeting and science innovation exposition, Baltimore, MD.
   Google Scholar
• Clark, R. E. (1998). Motivating performance: Part 1—Diagnosing and solving motivation problems. Performance Improvement, 37(8), 39–47.
   Google Scholar
• Fredricks, J. A., & Eccles, J. S. (2002). Children's competence and value beliefs from childhood through adolescence: Growth trajectories in two male sex-typed domains. Developmental Psychology, 38(4), 519–533.
   PubMed Web of Science ®Google Scholar
• Gibbons, M. (2004). The year in numbers. A report from the American Society of Engineering Education. Retrieved March 2004 from http://www.http://www.asee.org/about/publications/profiles/index.cfm
   Google Scholar
• Goodman Research Group, Inc. (2002). A comprehensive evaluation of women in engineering programs. Retrieved June 3, 2002, from http://www.grginc.com.
   Google Scholar
• Gouldner, H. (1985). Women in engineering. Retrieved August 27, 2005, from http://www.nap.edu/books/0309035864/html/57.html
   Google Scholar
• Grandy, J. (1994). Gender and ethnic differences among science and engineering majors: Experiences, achievements, and expectations (RR-94–30). Princeton, NJ: Educational Testing Service.
   Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
   Web of Science ®Google Scholar
• Jackson, L., Fleury, R., Girvin, J., & Gerard, D. (1995). The numbers game: Gender and attention to numerical information. Sex Roles, 33(7/8), 559–568.
   Web of Science ®Google Scholar
• Karabenick, S. A., & Sharma, R. (1994). Perceived teacher support of student questioning in the college classroom: Its relation to student characteristics and role in the classroom questioning process. Journal of Educational Psychology, 86(1), 90–103.
   Web of Science ®Google Scholar
• Kimball, M. (1989). A new perspective on women's math achievement. Psychological Bulletin, 105(2), 198–214.
   Web of Science ®Google Scholar
• Lazarus, B., Ritter, L., & Ambrose, S. (2000) The Woman's Guide to Navigating the Ph.D. in Engineering & Science. Hoboken, NJ: Wiley-IEEE Press.
   Google Scholar
• Light, R. (1990). Explorations with students and faculty about teaching, learning, and student life. Cambridge, MA: Harvard University Press.
   Google Scholar
• National Center for Educational Statistics. (2000). Entry and persistence of women and minorities in college science and engineering education. NCES 2000-601, by G. Huang, N. Taddese, E. Walter, & S. S. Peng. Washington, DC: Author.
   Google Scholar
• National Institute for Science Education. (1998). Women and men of the engineering path: A model for analysis of undergraduate careers (ED Publication No. PLLI 98-8055). Washington, DC: U.S. Department of Education.
   Google Scholar
• National Science Foundation. (1998). Women, minorities, and persons with disabilities in science and engineering (NSF99-338). Arlington, VA: Author.
   Google Scholar
• Nauta, M., Epperson, D., & Kahn, J. (1998). A multiple-groups analysis of higher-level career aspirations among females in mathematics, science and engineering majors. Journal of Counseling Psychology, 45(4), 483–496.
   Web of Science ®Google Scholar
• O'Neil, H. F., Jr., & Herl, H. E. (1998, April). Reliability and validity of a trait measure of self-regulation. Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA.
   Google Scholar
• Pajares, F., & Miller, M. D. (1995). Mathematics self-efficacy and mathematics performances: The need for specificity of assessment. Journal of Counseling Psychology, 42(2), 190–198.
   Web of Science ®Google Scholar
• Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578.
   Web of Science ®Google Scholar
• Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor: University of Michigan Press.
   Google Scholar
• Rosser, S. V. (1998). Group work in science, engineering, and mathematics: Consequences of ignoring gender and race. College Teaching, 46(3), 82–88.
   Google Scholar
• Rueda, R., & Dembo, M. (1995). Motivational processes in learning: A comparative analysis of cognitive and sociocultural frameworks. Advances in Motivation and Achievement, 9, 255–289.
   Google Scholar
• Ryan, A., & Pintrich, P. (1997). Should I ask for help? The role of motivation and attitudes in adolescents help-seeking in math class. Journal of Educational Psychology, 89(2), 329–341.
   Web of Science ®Google Scholar
• Sadker, M., & Sadker, D. (1994). Failing at fairness: How America's schools cheat girls. New York: C. Scribner & Sons.
   Google Scholar
• Santiago, A., & Einarson, M. (1998). Background characteristics as predictors of academic self-confidence and academic self-efficacy among graduate science and engineering students. Research in Higher Education, 39(2), 163–198.
   Web of Science ®Google Scholar
• Sax, L. (1994). Mathematical self-concept: How colleges reinforce the gender gap. Research in Higher Education, 35(2), 141–165.
   Web of Science ®Google Scholar
• Schunk, D. H. (2004). Learning theories: An educational perspective. Upper Saddle River, NJ: Pearson, Merrill Prentice Hall.
   Google Scholar
• Seymour, E. (1995). The loss of women from science, mathematics, and engineering undergraduate majors: An explanatory account. Science Education, 79(4), 437–473.
   Web of Science ®Google Scholar
• Seymour, E., & Hewitt, N. M. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview.
   Google Scholar
• Slavin, R. E. (1990). Cooperative learning theory, research, and practice. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Smith, B. L., & MacGregor, J. T. (1992). What is collaborative learning? In A. Goodsell, M. Mahler, V. Tinto, B. L. Smith, & J. MacGregor (Eds.), Collaborative learning: A sourcebook for higher education (pp. 9–22). University Park, PA: National Center on Postsecondary Teaching, Learning, and Assessment.
   Google Scholar
• Steele, C., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797–811.
   PubMed Web of Science ®Google Scholar
• Swim, J. K., & Sanna, L. J. (1996). He's skilled, she's lucky: A meta-analysis of observers' attributions for women's and men's successes and failures. Personality and Social Psychology Bulletin, 22(5), 507–519.
   Web of Science ®Google Scholar
• Thayer-Bacon, B. J. (2000). Transforming critical thinking: Thinking constructively. New York: Teachers College Press.
   Google Scholar
• Tinto, V. (1973). Dropout from higher education: A theoretical analysis of recent research. Review of Educational Research, 45, 89–125.
   Web of Science ®Google Scholar
• Trow, M. (1973). Problems in the transition from mass to elite higher education. Berkeley, CA: Carnegie Commission on Higher Education.
   Google Scholar
• Turner, S. E., & Bowen, W. G. (1999). Choice of major: The changing (unchanging) gender gap. Industrial and Labor Relations Review, 52(2), 289–313.
   Web of Science ®Google Scholar
• Wolters, C. A. (1998). Self-regulated learning and college students' regulation of motivation. Journal of Educational Psychology, 90(2), 224–235.
   Web of Science ®Google Scholar
• Zeldin, A. L., & Pajares, F. (2000) Against the odds: Self-efficacy beliefs of women in mathematical, scientific, and technological careers. American Educational Research Journal, 37(1), 215–246.
   Web of Science ®Google Scholar
• Zimmerman, B. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81(3), 329–343.
   Web of Science ®Google Scholar