Advanced search
Publication Cover
Measurement and Evaluation in Counseling and Development Volume 47, 2014 - Issue 2
Submit an article Journal homepage
294
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Patterns of SAT Scores, Choice of STEM Major, and Gender

Mark L. Davison University of Minnesota, Minneapolis, MN, USAView further author information
,
Gilbert B. Jew University of Minnesota, Minneapolis, MN, USAView further author information
&
Ernest C. Davenport Jr. University of Minnesota, Minneapolis, MN, USAView further author information
Pages 118-126 | Published online: 08 Mar 2017

References

  • ABET. (2011). Criteria for accrediting engineering programs. : Routledge.
  • American Institutes for Research. (n.d.). The AM Software, Beta Version 0.60.00 [Computer software]. Retrieved from http://am.air.org/
  • AyotolaA.AdedejiT. (2009). The relationship between mathematics self-efficacy and achievement in mathematics. Procedia Social and Behavioral Science, 1, 953–957.
  • BanduraA. (1994). Self-efficacy. In RamachandranV. S. (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71–81). : Routledge.
  • ColeD.EspinozaA. (2008). Examining the academic success of Latino students in science, technology, and engineering (STEM) majors. Journal of College Student Development, 49, 285–300.
  • DavisonM. L.DavenportE. C.Jr. (2002). Identifying criterion-related patterns of predictor scores using multiple regression. Psychological Methods, 7, 468–484.
  • DoransN. T.LivingstonS. A. (1987). Male-female differences in SAT-verbal ability among students of high SAT-mathematical ability. Journal of Educational Measurement, 24, 65–71.
  • HackettG. (1985). Role of mathematics self-efficacy in the choice of math-related majors of college women and men: A path analysis. Journal of Counseling Psychology, 32, 47–56.
  • HackettG.BetzN. (1981). A self-efficacy approach to the career development of women. Journal of Vocational Behavior, 18, 326–339.
  • LapanR. T.ShaughnessyP. (1996). Efficacy expectations and vocational interests as mediators between sex and choice of math/science college majors: A longitudinal study. Journal of Vocational Behavior, 49, 277–291.
  • LentR. W.BrownS. D.LarkinK. C. (1987). Comparison of three theoretically derived variables in predicting career behavior: Self-efficacy, interest congruence, and consequence thinking. Journal of Counseling Psychology, 34, 293–298.
  • LentR. W.BrownS. D.SheuH.-B.SchmidtJ.BrennerB. R.GlosterC. S.. . . TreistmanD. (2005). Social-cognitive predictors of academic interests and goals in engineering: Utility for women and students of historically black universities. Journal of Counseling Psychology, 52, 84–92.
  • LentR. W.LopezF. G.BieschkeK. J. (1991). Mathematics self-efficacy: Sources and relation to science-based career choices. Journal of Counseling Psychology, 38, 424–430.
  • LentR. W.LopezA. M.Jr.LopezF. G.SheuH. G. (2008). Social cognitive career theory and the prediction of interests and choice goals in the computing sciences. Journal of Vocational Behavior, 73, 52–62.
  • NautaM. M.EppersonD. L. (2003). A longitudinal examination of the social-cognitive model applied to high school girls’ choices of non-traditional college majors and aspirations. Journal of Counseling Psychology, 50, 448–457.
  • PajaresF.MillerD. M. (1995). Mathematics self-efficacy and mathematics performance: The need for specificity of assessment. Journal of Counseling Psychology, 42, 190–198.
  • ParkG.LubinskiD.BenbowC. P. (2007). Contrasting intellectual patterns predict creativity in the arts and sciences. Psychological Science, 18, 948–952.
  • Riegle-CrumbC.KingB. (2011). Questioning a white male advantage in STEM: Examining disparities in college major by gender and race/ethnicity. Educational Researcher, 39, 656–664.
  • RiemerM. J. (2007). Communication skills for the 21st century engineer. Global Journal of Engineering Education, 11, 89–100.
  • TurnerS. E.BowenW. G. (1999). Choice of major: The changing (unchanging) gender gap. Industrial and Labor Relations Review, 2, 289–313.
  • U.S. Department of Education, National Center for Education Statistics. (2003). Baccalaureate and Beyond Longitudinal Study: 2000–01 (B#x00026;B:2000/01; Methodology Report, NCES 2003-156). : Routledge.
  • WareN. C.StecklerN. A.LesermanJ. L. (1985). Undergraduate women: Who chooses a science major? Journal of Higher Education, 56, 73–84.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.