References
- Ahmed, W. (2018). Developmental trajectories of math anxiety during adolescence: Associations with STEM career choice. Journal of Adolescence, 67, 158–166. https://doi.org/https://doi.org/10.1016/j.adolescence.2018.06.010
- Aina, C., & Casalone, G. (2020). Early labor market outcomes of university graduates: Does time to degree matter? Socio-Economic Planning Sciences, 71, 100822. https://doi.org/https://doi.org/10.1016/j.seps.2020.100822
- Aina, C., & Pastore, F. (2020). Delayed graduation and overeducation in Italy: A test of the human capital model versus the screening hypothesis. Social Indicators Research, 152(2), 533–553. https://doi.org/https://doi.org/10.1007/s11205-020-02446-0
- Archer, L., Dawson, E., DeWitt, J., Seakins, A., & Wong, B. (2015). “Science capital”: A conceptual, methodological, and empirical argument for extending bourdieusian notions of capital beyond the arts. Journal of Research in Science Teaching, 52(7), 922–948. https://doi.org/https://doi.org/10.1002/tea.21227
- Arnett, J. J. (2004). Emerging adulthood: The winding road from the late teens through the twenties. Oxford University Press.
- Arnett, J. J. (2007). Emerging adulthood: What is it, and what is it good for? Child Development Perspectives, 1(2), 68–73. https://doi.org/https://doi.org/10.1111/j.1750-8606.2007.00016.x
- Ayalon, H. (2003). Women and men go to university: Mathematical background and gender differences in choice of field in higher education. Sex Roles, 48(5), 277–290. https://doi.org/https://doi.org/10.1023/A:1022829522556
- Barry, C. N. (2013). Moving on up? US military service, education and labor market mobility among children of immigrants. University of California, Berkeley.
- Beck, U. (1996). World risk society as cosmopolitan society? Ecological questions in a framework of manufactured uncertainties. Theory, Culture & Society, 13(4), 1–32. https://doi.org/https://doi.org/10.1177/0263276496013004001
- Biggart, A., & Walther, A. (2006). Coping with yo-yo transitions: Young adults’ struggle for support, between family and state in comparative perspective. In C. Leccardi & E. Ruspini (Eds.), A new youth? Young people, generations and family life (pp. 41–62). Ashgate.
- Billari, F. C., & Liefbroer, A. C. (2010). Towards a new pattern of transition to adulthood? Advances in Life Course Research, 15(2-3), 59–75. https://doi.org/https://doi.org/10.1016/j.alcr.2010.10.003
- Bound, J., Lovenheim, M. F., & Turner, S. (2012). Increasing time to baccalaureate degree in the United States. Education Finance and Policy, 7(4), 375–424. https://doi.org/https://doi.org/10.1162/EDFP_a_00074
- Bozick, R., & DeLuca, S. (2005). Better late than never? Delayed enrollment in the high school to college transition. Social Forces, 84(1), 531–554. https://doi.org/https://doi.org/10.1353/sof.2005.0089
- Buddeberg, M., & Hornberg, S. (2017). Schooling in times of acceleration. British Journal of Sociology of Education, 38(1), 49–59. https://doi.org/https://doi.org/10.1080/01425692.2016.1256760
- Caparoso, J. T. (2020). Exploring whether and when: A longitudinal study of college time-to-completion [Unpublished doctoral dissertation]. University of Hawai’i at Manoa.
- CBS. (2020). Statistical abstract of Israel 2020 (71).
- Chachashvili-Bolotin, S., Lissitsa, S., & Milner-Bolotin, M. (2019). STEM outcomes of second-generation immigrant students with high-skilled parental backgrounds. International Journal of Science Education, 41(17), 2465–2483. https://doi.org/https://doi.org/10.1080/09500693.2019.1686549
- Chase, S. E. (2005). Narrative inquiry: Multiple lenses, approaches, voices. In N. K. Denzin & Y. S. Lincoln (Eds.), The Sage handbook of qualitative research: Third edition (pp. 651–679). Sage.
- Chen, X. (2009). Students who study Science, Technology, Engineering, and Mathematics (STEM) in postsecondary education. Stats in Brief. NCES 2009-161. National Center for Education Statistics.
- Claussen, S., & Osborne, J. (2013). Bourdieu’s notion of cultural capital and its implications for the science curriculum. Science Education, 97(1), 58–79. https://doi.org/https://doi.org/10.1002/sce.21040
- Coertse, S., & Schepers, J. M. (2004). Some personality and cognitive correlates of career maturity. SA Journal of Industrial Psychology, 30(2), 56–73. https://doi.org/https://doi.org/10.4102/sajip.v30i2.150
- Cohen, R., & Kelly, A. M. (2019). Community college chemistry coursetaking and STEM academic persistence. Journal of Chemical Education, 96(1), 3–11. https://doi.org/https://doi.org/10.1021/acs.jchemed.8b00586
- Cuzzocrea, V. (2019). Moratorium or waithood? Forms of time-taking and the changing shape of youth. Time & Society, 28(2), 567–586. https://doi.org/https://doi.org/10.1177/0961463X18763680
- Dabney, K. P., Chakraverty, D., & Tai, R. H. (2013). The association of family influence and initial interest in science. Science Education, 97(3), 395–409. https://doi.org/https://doi.org/10.1002/sce.21060
- Darolia, R., Koedel, C., Main, J. B., Ndashimye, J. F., & Yan, J. (2020). High school course access and postsecondary STEM enrollment and attainment. Educational Evaluation and Policy Analysis, 42(1), 22–45. https://doi.org/https://doi.org/10.3102/0162373719876923
- Denice, P. (2019). Trajectories through postsecondary education and students’ life course transitions. Social Science Research, 80, 243–260. https://doi.org/https://doi.org/10.1016/j.ssresearch.2019.02.005
- Denice, P. A. (2021). Choosing and changing course: Postsecondary students and the process of selecting a major field of study. Sociological Perspectives, 64(1), 82–108. https://doi.org/https://doi.org/10.1177/0731121420921903
- Eisenberg, M. E., Spry, E., & Patton, G. C. (2015). From emerging to established: Longitudinal patterns in the timing of transition events among Australian emerging adults. Emerging Adulthood, 3(4), 277–281. https://doi.org/https://doi.org/10.1177/2167696815574639
- Elzinga, C. H., & Liefbroer, A. C. (2007). De-standardization of family-life trajectories of young adults: A cross-national comparison using sequence analysis. European Journal of Population / Revue Européenne de Démographie, 23(3-4), 225–250. https://doi.org/https://doi.org/10.1007/s10680-007-9133-7
- Erikson, E. H. (1968). Identity: Youth and crisis. WW Norton & Company.
- Ferriman, K., Lubinski, D., & Benbow, C. P. (2009). Work preferences, life values, and personal views of top math/science graduate students and the profoundly gifted: Developmental changes and gender differences during emerging adulthood and parenthood. Journal of Personality and Social Psychology, 97(3), 517–532. https://doi.org/https://doi.org/10.1037/a0016030
- Giddens, A. (1991). Modernity and self-identity: Self and society in the late modern age. Stanford University Press.
- Han, S., Tumin, D., & Qian, Z. (2016). Gendered transitions to adulthood by college field of study in the United States. Demographic Research, 35, 929–960. https://doi.org/https://doi.org/10.4054/DemRes.2016.35.31
- Hendry, L. B., & Kloep, M. (2007). Conceptualizing emerging adulthood: Inspecting the emperor’s new clothes? Child Development Perspectives, 1(2), 74–79. https://doi.org/https://doi.org/10.1111/j.1750-8606.2007.00017.x
- Herman, C. (2015). Returning to STEM: Gendered factors affecting employability for mature women students. Journal of Education and Work, 28(6), 571–591. https://doi.org/https://doi.org/10.1080/13639080.2014.887198
- Jaeger, A. J., Hudson, T. D., Pasque, P. A., & Ampaw, F. D. (2017). Understanding how lifelong learning shapes the career trajectories of women with STEM doctorates: The life experiences and role negotiations (LEARN) model. The Review of Higher Education, 40(4), 477–507. https://doi.org/https://doi.org/10.1353/rhe.2017.0019
- Kim, C., Tamborini, C. R., & Sakamoto, A. (2015). Field of study in college and lifetime earnings in the United States. Sociology of Education, 88(4), 320–339. https://doi.org/https://doi.org/10.1177/0038040715602132
- King, B. (2015). Changing college majors: Does it happen more in STEM and do grades matter? Journal of College Science Teaching, 044(3), 44–51. https://doi.org/https://doi.org/10.2505/4/jcst15_044_03_44
- Lareau, A. (2011). Unequal childhoods: Class, race, and family life. Univ of California Press.
- Lavee, Y., & Katz, R. (2003). The family in Israel: Between tradition and modernity. Marriage & Family Review, 35(1-2), 193–217. https://doi.org/https://doi.org/10.1300/J002v35n01_11
- Leu, K. (2017). Beginning college students who change their majors within 3 years of enrollment. Data Point. NCES 2018-434. National Center for Education Statistics.
- Lissitsa, S. (2019). Percieved optimal marriage age in the internet era—Findings of a nationwide survey. Marriage & Family Review, 55(2), 126–151. https://doi.org/https://doi.org/10.1080/01494929.2018.1458005
- Lissitsa, S., & Chachashvili-Bolotin, S. (2021). Occupational reproduction and mobility in STEM–parental narratives of their child’s occupational choice. Educational Studies. https://doi.org/https://doi.org/10.1080/03055698.2021.1884047
- Lissitsa, S., & Chachashvili-Bolotin, S. (2019). Enrolment in mathematics and physics at the advanced level in secondary school among two generations of highly skilled immigrants. International Migration, 57(5), 216–234. https://doi.org/https://doi.org/10.1111/imig.12550
- Lloyd, A., Gore, J., Holmes, K., Smith, M., & Fray, L. (2018). Parental influences on those seeking a career in STEM: The primacy of gender. International Journal of Gender, Science and Technology, 10(2), 308–328.
- Long, M. C., Conger, D., & Iatarola, P. (2012). Effects of high school course-taking on secondary and postsecondary success. American Educational Research Journal, 49(2), 285–322. https://doi.org/https://doi.org/10.3102/0002831211431952
- Ma, Y., & Savas, G. (2014). Which is more consequential: Fields of study or institutional selectivity? The Review of Higher Education, 37(2), 221–247. https://doi.org/https://doi.org/10.1353/rhe.2014.0001
- Maltese, A. V., Melki, C. S., & Wiebke, H. L. (2014). The nature of experiences responsible for the generation and maintenance of interest in STEM. Science Education, 98(6), 937–962. https://doi.org/https://doi.org/10.1002/sce.21132
- Marsh, D. D. (2020). Am I a math or science person? How high school students’ attitudes towards mathematics and science influence their decision to major in STEM [Unpublished doctoral dissertation]. University of New Hampshire.
- McGunagle, D., & Zizka, L. (2020). Employability skills for 21st-century STEM students: The employers’ perspective. Higher Education, Skills and Work-Based Learning, 10(3), 591–606. https://doi.org/https://doi.org/10.1108/HESWBL-10-2019-0148
- Mishler, E. G. (1986). The analysis of interview-narratives. In T. R. Sarbin (Ed.), Narrative psychology: The storied nature of human conduct (pp. 233–255). Praeger Publishers/Greenwood Publishing Group.
- Montmarquette, C., Cannings, K., & Mahseredjian, S. (2002). How do young people choose college majors? Economics of Education Review, 21(6), 543–556. https://doi.org/https://doi.org/10.1016/S0272-7757(01)00054-1
- Mortimer, J. T., Zimmer-Gembeck, M. J., Holmes, M., & Shanahan, M. J. (2002). The process of occupational decision making: Patterns during the transition to adulthood. Journal of Vocational Behavior, 61(3), 439–465. https://doi.org/https://doi.org/10.1006/jvbe.2002.1885
- Nelson, K., & Fivush, R. (2004). The emergence of autobiographical memory: A social cultural developmental theory. Psychological Review, 111(2), 486–511. https://doi.org/https://doi.org/10.1037/0033-295X.111.2.486
- Noach-Bonny, H., Nathan, S., & Ben Rafael Galanti, S. (Eds.). (2018). Fieldwork and research: Israel in adults young. Bet Berel Academic College.
- Patterson, R. W., Pope, N. G., & Feudo, A. (2021). Timing matters: Evidence from college major decisions. Journal of Human Resources. https://doi.org/https://doi.org/10.3368/jhr.59.2.0820-11127R1
- Pitt, R. N., Brockman, A., & Zhu, L. (2021). Parental pressure and passion: Competing motivations for choosing STEM and non-STEM majors among women who double-major in both. Journal of Women and Minorities in Science and Engineering, 27(1). https://doi.org/https://doi.org/10.1615/JWomenMinorScienEng.2020026795
- Rayner, G. M., & Papakonstantinou, T. (2015). Employer perspectives of the current and future value of STEM graduate skills and attributes: An Australian study. Journal of Teaching and Learning for Graduate Employability, 6(1), 100–115. https://doi.org/https://doi.org/10.21153/jtlge2015vol6no1art576
- Rindfuss, R. R. (1991). The young adult years: Diversity, structural change, and fertility. Demography, 28(4), 493–512. https://doi.org/https://doi.org/10.2307/2061419
- Roksa, J., & Levey, T. (2010). What can you do with that degree? College major and occupational status of college graduates over time. Social Forces, 89(2), 389–415. https://doi.org/https://doi.org/10.1353/sof.2010.0085
- Roksa, J., & Velez, M. (2012). A late start: Delayed entry, life course transitions and bachelor's degree completion. Social Forces, 90(3), 769–794. https://doi.org/https://doi.org/10.1093/sf/sor018
- Rosa, H. (2010). High-speed society: Social acceleration, power, and modernity. Penn State Press.
- Rosa, H. (2013). Social acceleration: A new theory of modernity. Columbia University Press.
- Rosa, H. (2015). Social acceleration: A new theory of modernity. Columbia University Press.
- Rosenthal, G. (1993). Reconstruction of life stories: Principles of selection in generating stories for narrative biographical interviews. The Narrative Study of Lives, 1(1), 59–91.
- Rozek, C. S., Ramirez, G., Fine, R. D., & Beilock, S. L. (2019). Reducing socioeconomic disparities in the STEM pipeline through student emotion regulation. Proceedings of the National Academy of Sciences, 116(5), 1553–1558. https://doi.org/https://doi.org/10.1073/pnas.1808589116
- Sadler, P. M., Sonnert, G., Hazari, Z., & Tai, R. (2012). Stability and volatility of STEM career interest in high school: A gender study. Science Education, 96(3), 411–427. https://doi.org/https://doi.org/10.1002/sce.21007
- Senor, D., & Singer, S. (2011). Start-up nation: The story of Israel’s economic miracle. Random House Digital, Inc.
- Severy, L. (2018). Career development in emerging adulthood. In J. L. Murray & J. J. Arnett (Eds.), Emerging adulthood and higher education (pp. 75–88). Routledge.
- Silva, J. M. (2016). High hopes and hidden inequalities: How social class shapes pathways to adulthood. Emerging Adulthood, 4(4), 239–241. https://doi.org/https://doi.org/10.1177/2167696815620965
- Sithole, A., Chiyaka, E. T., McCarthy, P., Mupinga, D. M., Bucklein, B. K., & Kibirige, J. (2017). Student attraction, persistence and retention in STEM programs: Successes and continuing challenges. Higher Education Studies, 7(1), 46–59. https://doi.org/https://doi.org/10.5539/hes.v7n1p46
- Stone Iii, J. R., Alfeld, C., & Pearson, D. (2008). Rigor and relevance: Enhancing high school students’ math skills through career and technical education. American Educational Research Journal, 45(3), 767–795. https://doi.org/https://doi.org/10.3102/0002831208317460
- Strauss, A., & Corbin, J. (1990). Basics of qualitative research. Sage publications.
- Strauss, A., & Corbin, J. (1994). Grounded theory methodology: An overview. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 273–285). Sage Publications.
- Tai, R., Liu, C., Maltese, A., & Fan, X. (2006). CAREER CHOICE: Enhanced: Planning early for careers in science. Science, 312(5777), 1143–1144. https://doi.org/https://doi.org/10.1126/science.1128690
- Teachman, J., & Tedrow, L. (2007). Joining up: Did military service in the early all volunteer era affect subsequent civilian income? Social Science Research, 36(4), 1447–1474. https://doi.org/https://doi.org/10.1016/j.ssresearch.2007.03.002
- Toma, R. B. (2020). Perceived difficulty of school science and cost appraisals: A valuable relationship for the STEM pipeline? Research in Science Education. https://doi.org/https://doi.org/10.1007/s11165-020-09963-5
- Tyson, W., Lee, R., Borman, K. M., & Hanson, M. A. (2007). Science, technology, engineering, and mathematics (STEM) pathways: High school science and math coursework and postsecondary degree attainment. Journal of Education for Students Placed at Risk (JESPAR), 12(3), 243–270. https://doi.org/https://doi.org/10.1080/10824660701601266
- Wang, X. (2013). Modeling entrance into STEM fields of study among students beginning at community colleges and four-year institutions. Research in Higher Education, 54(6), 664–692. https://doi.org/https://doi.org/10.1007/s11162-013-9291-x
- Weeden, K. A., Gelbgiser, D., & Morgan, S. L. (2020). Pipeline dreams: Occupational plans and gender differences in STEM major persistence and completion. Sociology of Education, 93(4), 297–314. https://doi.org/https://doi.org/10.1177/0038040720928484
- Wells, R. S., & Lynch, C. M. (2012). Delayed college entry and the socioeconomic gap: Examining the roles of student plans, family income, parental education, and parental occupation. The Journal of Higher Education, 83(5), 671–697. https://doi.org/https://doi.org/10.1353/jhe.2012.0028
- Wilke, T., Bartram, B., Karrie, S., Korte, M., Köster, R., Walter, M., & Wejner, M. (2018). Teach chemistry forward an innovative course concept for universities and schools.
- Witteveen, D., & Attewell, P. (2019). Delayed time-to-degree and post-college earnings. Research in Higher Education, 62, 230–257. https://doi.org/https://doi.org/10.1007/s11162-019-09582-8
- Yonezawa, A., Horta, H., & Osawa, A. (2016). Mobility, formation and development of the academic profession in science, technology, engineering and mathematics in East and South East Asia. Comparative Education, 52(1), 44–61. https://doi.org/https://doi.org/10.1080/03050068.2015.1125617