Role models’ influence on student interest in and awareness of career opportunities in life sciences

References

• ACT. (2018). Condition of college and career readiness 2011. https://files.eric.ed.gov/fulltext/ED522992.pdf.
   Google Scholar
• Aish, N., Asare, P., & Miskioğlu, E. E. (2018). People like me: Providing relatable and realistic role models for underrepresented minorities in STEM to increase their motivation and likelihood of success, 83–89.
   Google Scholar
• Akkermans, J., & Tims, M. (2017). Crafting your career: How career competencies relate to career success via job crafting. Applied Psychology, 66(1), 168–195. https://doi.org/10.1111/apps.12082
   Web of Science ®Google Scholar
• Allison, P. D. (2002). Missing data. Sage Publications.
   Google Scholar
• Archer, L., Moote, J., Macleod, E., Francis, B., & DeWitt, J. (2020). ASPIRES 2: Young people’s science and career aspirations, age 10–19. UCL Institute of Education.
   Google Scholar
• Archer, L., Osborne, J., DeWitt, J., Dillon, J., & Wong, B. (2013). Young people’s science & career aspirations, age 10–14. ASPIRES. https://www.kcl.ac.uk/ecs/research/aspires/aspires-final-report-december-2013.pdf.
   Google Scholar
• Bacon, R. (2018). An Ethnographic Study of the Complexities of Designing and Gaining Access to an Internship.
   Google Scholar
• Bagès, C., & Martinot, D. (2011). What is the best model for girls and boys faced with a standardized mathematics evaluation situation: A hardworking role model or a gifted role model? British Journal of Social Psychology, 50(3), 536–543. https://doi.org/10.1111/j.2044-8309.2010.02017.x
   PubMed Web of Science ®Google Scholar
• Baldwin, J. A., Ebert-May, D., & Burns, D. J. (1999). The development of a college biology self-efficacy instrument for nonmajors. Science Education, 83(4), 397–408. https://doi.org/10.1002/(SICI)1098-237X(199907)83:4<397::AID-SCE1>3.0.CO;2-#
   Web of Science ®Google Scholar
• Berryman, S. E. (1983). Who will do science? Trends, and their causes in minority and female representation among holders of advanced degrees in science and mathematics. A special report. Rockefeller Foundation.
   Google Scholar
• Betz, D. E., & Sekaquaptewa, D. (2012). My fair physicist? Feminine math and science role models demotivate young girls. Social Psychological and Personality Science, 3(6), 738–746. https://doi.org/10.1177/1948550612440735
   Web of Science ®Google Scholar
• Boeije, H. (2009). Analysis in qualitative research. Sage Publications.
   Google Scholar
• Braund, M., & Reiss, M. (2006). Towards a more authentic science curriculum: The contribution of out-of-school learning. International Journal of Science Education, 28(12), 1373–1388. https://doi.org/10.1080/09500690500498419
   Web of Science ®Google Scholar
• Brown, M. E., & Treviño, L. K. (2014). Do role models matter? An investigation of role modeling as an antecedent of perceived ethical leadership. Journal of Business Ethics, 122(4), 587–598. https://doi.org/10.1007/s10551-013-1769-0
   Web of Science ®Google Scholar
• Casad, B. J., Petzel, Z. W., & Ingalls, E. A. (2019). A model of threatening academic environments predicts women STEM majors’ self-esteem and engagement in STEM. Sex Roles, 80(7), 469–488. https://doi.org/10.1007/s11199-018-0942-4
   Web of Science ®Google Scholar
• Cheryan, S., Master, A., & Meltzoff, A. N. (2015). Cultural stereotypes as gatekeepers: increasing girls'™ interest in computer science and engineering by diversifying stereotypes. Frontiers in Psychology, 6(FEB), https://doi.org/10.3389/fpsyg.2015.00049
   PubMedGoogle Scholar
• Collins, R. L. (1996). For better or worse: The impact of upward social comparison on self-evaluations. Psychological Bulletin, 119(1), 51. https://doi.org/10.1037/0033-2909.119.1.51
   Web of Science ®Google Scholar
• Creswell, J. W., & Plano Clark, V. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
   Google Scholar
• De Brey, C., Musu, L., Mcfarland, J., Wilkinson-Flicker, S., Diliberti, M., Zhang, A., & Branstetter, C. (2019). Status and trends in the education of racial and ethnic groups 2018 (NCES 2019-038). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.
   Google Scholar
• Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), Article 1. https://doi.org/10.1146/annurev.psych.53.100901.135153
   Google Scholar
• Edelson, D. C. (1998). Realising authentic science learning through the adaptation of scientific practice. In K. Tobin, & B. Fraser (Eds.), International handbook of science education (pp. 317–331). Kluwer.
   Google Scholar
• Erdosne Toth, E., Morrow, B., & Ludvico, L. (2009). Designing blended inquiry learning in a laboratory context: A study of incorporating hands-On and virtual laboratories. Innovative Higher Education, 33(5), 333. https://doi.org/10.1007/s10755-008-9087-7
   Google Scholar
• Erickson, M. E. (2017). Modeling and role-modeling. Nursing Theorists and Their Work-E-Book, 3, 398.
   Google Scholar
• Eyler, J. (2002). Reflecting on service: Helping nursing students get the most from service-learning. Journal of Nursing Education, 41(10), 453–456. https://doi.org/10.3928/0148-4834-20021001-10
   PubMed Web of Science ®Google Scholar
• Gao, X., Li, P., Shen, J., & Sun, H. (2020). Development and application of the action taxonomy for learning assistants (ATLAs). International Journal of STEM Education, 7(1), 1–14. https://doi.org/10.1186/s40594-019-0200-5
   Web of Science ®Google Scholar
• Gelbart, H., & Yarden, A. (2006). Learning genetics through an authentic research simulation in bioinformatics. Journal of Biological Education, 40(3), 107–112. https://doi.org/10.1080/00219266.2006.9656026
   Web of Science ®Google Scholar
• Gibson, D. E., & Barron, L. A. (2003). Exploring the impact of role models on older employees. Career Development International.
   Google Scholar
• Gibson, H. L., & Chase, C. (2002). Longitudinal impact of an inquiry-based science program on middle school students' attitudes toward science. Science Education, 86(5), 693–705. https://doi.org/10.1002/sce.10039
   Web of Science ®Google Scholar
• Hackling, M., Murcia, K., West, J., & Anderson, K. (2014). Optimising STEM education in WA schools.
   Google Scholar
• Hartung, P. J., & Cadaret, M. C. (2017). Career adaptability: Changing self and situation for satisfaction and success. In Psychology of career adaptability, employability and resilience (pp. 15–28). Springer.
   Google Scholar
• Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), Article 235. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3
   Web of Science ®Google Scholar
• Hu, D., Ahn, J. N., Vega, M., & Lin-Siegler, X. (2020). Not all scientists are equal: Role aspirants influence role modeling outcomes in STEM. Basic and Applied Social Psychology, 42(3), 192–208. https://doi.org/10.1080/01973533.2020.1734006
   Web of Science ®Google Scholar
• Karacan-Ozdemir, N., & Guneri, O. Y. (2017). The factors contribute to career adaptability of high-school students. Eurasian Journal of Educational Research, 16(67), 183–198.
   Google Scholar
• Lent, R. W., Brown, S. D., & Hackett, G. (2002). Social cognitive career theory. Career Choice and Development, 4(1), 255–311.
   Google Scholar
• Lewis-Beck, M., Bryman, A. E., & Liao, T. F. (2003). The Sage encyclopedia of social science research methods. Sage Publications.
   Google Scholar
• Lin-Siegler, X., Ahn, J. N., Chen, J., Fang, F.-F. A., & Luna-Lucero, M. (2016). Even Einstein struggled: Effects of learning about great scientists’ struggles on high school students’ motivation to learn science. Journal of Educational Psychology, 108(3), 314. https://doi.org/10.1037/edu0000092
   Web of Science ®Google Scholar
• Lockwood, P., & Kunda, Z. (1997). Superstars and me: Predicting the impact of role models on the self. Journal of Personality and Social Psychology, 73(1), 91. https://doi.org/10.1037/0022-3514.73.1.91
   Web of Science ®Google Scholar
• Lovelace, M., & Brickman, P. (2013). Best practices for measuring students’ attitudes toward learning science. CBE—Life Sciences Education, 12(4), 606–617.
   PubMed Web of Science ®Google Scholar
• Lykkegaard, E., & Ulriksen, L. (2016). Role model and prototype matching: Upper-secondary school students’ meetings with tertiary STEM students. Nordic Studies in Science Education, 12(1), 73–89. https://doi.org/10.5617/nordina.1209
   Google Scholar
• Marx, D. M., & Ko, S. J. (2012). Superstars “like” me: The effect of role model similarity on performance under threat. European Journal of Social Psychology, 42(7), 807–812. https://doi.org/10.1002/ejsp.1907
   Web of Science ®Google Scholar
• Morgenroth, T., Ryan, M. K., & Peters, K. (2015). The motivational theory of role modeling: How role models influence role aspirants’ goals. Review of General Psychology, 19(4), 465–483. https://doi.org/10.1037/gpr0000059
   Web of Science ®Google Scholar
• National Research Council. (2007). Taking science to school: Learning and teaching science in grades K-8. National Academies Press.
   Google Scholar
• Peteet, B. J., Brown, C. M., Lige, Q. M., & Lanaway, D. A. (2015). Impostorism is associated with greater psychological distress and lower self-esteem for African American students. Current Psychology, 34(1), 154–163. https://doi.org/10.1007/s12144-014-9248-z
   Web of Science ®Google Scholar
• Reuler, J. B., & Nardone, D. A. (1994). Role modeling in medical education. Western Journal of Medicine, 160(4), 335.
   PubMedGoogle Scholar
• Rossier, J., Ginevra, M. C., Bollmann, G., & Nota, L. (2017). The importance of career adaptability, career resilience, and employability in designing a successful life. In Psychology of career adaptability, employability and resilience (pp. 65–82). Springer.
   Google Scholar
• Rottinghaus, P. J., Buelow, K. L., Matyja, A., & Schneider, M. R. (2012). The career futures inventory–revised. Journal of Career Assessment, 20(2), 123. https://doi.org/10.1177/1069072711420849
   Web of Science ®Google Scholar
• Rottinghaus, P. J., Falk, N. A., & Park, C. J. (2018). Career assessment and counseling for STEM: A critical review. The Career Development Quarterly, 66(1), 2–34. https://doi.org/10.1002/cdq.12119
   Web of Science ®Google Scholar
• Rottinghaus, P. J., & Miller, A. D. (2013). Convergence of personality frameworks within vocational psychology.
   Google Scholar
• Rudisill, J. R., Edwards, J. M., Hershberger, P. J., Jadwin, J. E., & McKee, J. M. (2010). Coping with job transitions over the work life. In Handbook of stressful transitions across the lifespan (pp. 111–131). Springer.
   Google Scholar
• Rudolph, C. W., Lavigne, K. N., & Zacher, H. (2017). Career adaptability: A meta-analysis of relationships with measures of adaptivity, adapting responses, and adaptation results. Journal of Vocational Behavior, 98, 17–34. https://doi.org/10.1016/j.jvb.2016.09.002
   Web of Science ®Google Scholar
• Salonen, A., Hartikainen-Ahia, A., Hense, J., Scheersoi, A., & Keinonen, T. (2017). Secondary school students’ perceptions of working life skills in science-related careers. International Journal of Science Education, 39(10), 1339–1352. https://doi.org/10.1080/09500693.2017.1330575
   Web of Science ®Google Scholar
• Savickas, M. L. (1997). Career adaptability: An integrative construct for life-span, life-space theory. The Career Development Quarterly, 45(3), Article 3.
   Web of Science ®Google Scholar
• Savickas, M. L. (2005). The theory and practice of career construction. In Career development and counseling: Putting theory and research to work (pp. 42–70). John Wiley & Sons.
   Google Scholar
• Savickas, M. L. (2013). Career construction theory and practice. In Career development and counseling: Putting theory and research to work (2nd edition, pp. 147–180). John Wiley & Sons.
   Google Scholar
• Schütte, K., & Köller, O. (2015). ‘Discover, Understand, Implement, and Transfer’: Effectiveness of an intervention programme to motivate students for science. International Journal of Science Education, 37(14), 2306–2325. https://doi.org/10.1080/09500693.2015.1077537
   Web of Science ®Google Scholar
• Scott, C., & Medaugh, M. (2017). Axial coding. The International Encyclopedia of Communication Research Methods, 10, 9781118901731. https://doi.org/10.1002/9781118901731.iecrm0012
   Google Scholar
• StataCorp. (2019). Stata 16 base reference manual. Stata Press.
   Google Scholar
• Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100(2), 255. https://doi.org/10.1037/a0021385
   PubMed Web of Science ®Google Scholar
• Su, R., & Rounds, J. (2015). All STEM fields are not created equal: People and things interests explain gender disparities across STEM fields. Frontiers in Psychology, 6(FEB), https://doi.org/10.3389/fpsyg.2015.00189
   Google Scholar
• Super, D. E. (1990). A life-span, life-space approach. In D. Brown, & L. Brooks (Eds.), Career choice and development. Jossey-Bass Publisher.
   Google Scholar
• Super, D. E., & Knasel, E. G. (1981). Career development in adulthood: Some theoretical problems and a possible solution. British Journal of Guidance & Counselling, 9(2), 194–201. https://doi.org/10.1080/03069888108258214
   Google Scholar
• Tai, R. H., Liu, C. Q., Maltese, A. V., & Fan, X. (2006). Planning early for careers in science. Life Sciences, 312(5777), 1143–1144.
   Google Scholar
• van den Hurk, A, Meelissen, M, & Van Langen, A. (2019). Interventions in education to prevent STEM pipeline leakage. International Journal of Science Education, 41(2), 150–164.
   Web of Science ®Google Scholar
• Watson, M. (2016). Career development in changing world contexts: Reconstructing the wheels of theory and practice. CEAV (Career Education Association of Victoria) e-Journal, 43(13), 18.
   Google Scholar
• Weinburgh, M. H., & Steele, D. (2000). The Modified Attitudes toward Science Inventory: Developing an instrument to be used with fifth grade urban students. Journal of Women and Minorities in Science and Engineering, 6(1), 8–94. https://doi.org/10.1615/JWomenMinorScienEng.v6.i1.50
   Google Scholar
• Widaman, K. F. (2012). Exploratory factor analysis and confirmatory factor analysis. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbook of research methods in psychology, Vol 3: Data analysis and research publication (pp. 361–389). American Psychological Association. https://doi.org/10.1037/13621-018
   Google Scholar
• Yeager, D. S., Henderson, M. D., Paunesku, D., Walton, G. M., D’Mello, S., Spitzer, B. J., & Duckworth, A. L. (2014). Boring but important: A self-transcendent purpose for learning fosters academic self-regulation. Journal of Personality and Social Psychology, 107(4), 559. https://doi.org/10.1037/a0037637
   PubMed Web of Science ®Google Scholar
• Zirkel, S. (2002). Is there a place for me? Role models and academic identity among white students and students of color. Teachers College Record: The Voice of Scholarship in Education, 104(2), 357–376. https://doi.org/10.1111/1467-9620.00166
   Web of Science ®Google Scholar