The influence of perceived family supports and barriers on personal variables in a Spanish sample of secondary school science-technology students

References

• Ali, S., Brown, S. D., & Loh, Y. (2017). Project HOPE: Evaluation of health science career education programming for rural Latino and European American Youth. The Career Development Quarterly, 65, 57–71. doi: 10.1002/cdq.12080
   Web of Science ®Google Scholar
• Ali, S., McWhirter, E., & Chronister, K. (2005). Self-efficacy and vocational outcome expectations for adolescents of lower socioeconomic status. A pilot study. Journal of Career Assessment, 13(1), 40–58. doi: 10.1177/1069072704270273
   Web of Science ®Google Scholar
• Ashby, J. S., & Schoon, I. (2010). Career success: The role of teenage career aspirations, ambition value and gender in predicting adult social status and earnings. Journal of Vocational Behavior, 77, 350–360. doi: 10.1016/j.jvb.2010.06.006
   Web of Science ®Google Scholar
• Bandura, A., Barbaranelli, C., Caprara, G., & Pastorelli, C. (2001). Self-efficacy beliefs as shapers of children’s aspirations and career trajectories. Child Development, 72, 187–206. doi: 10.1111/1467-8624.00273
   PubMed Web of Science ®Google Scholar
• Benhabib, S. (2006). Las reivindicaciones de la cultura. Igualdad y diversidad en la era global [The demands of culture. Equality and diversity in the global era]. Buenos Aires: Katz.
   Google Scholar
• Boerchi, D., & Tagliabue, S. (2018). Assessing students’ perception of parental career-related support: Development of a new scale and a new taxonomy. International Journal of Educational and Vocational Guidance, 18(2), 181–201. doi: 10.1007/s10775-017-9354-1
   Web of Science ®Google Scholar
• Britner, G., & Pajares, F. (2001). Self-efficacy beliefs, motivation, race, gender in middle school science. Journal of Women and Minorities in Science and Engineering, 7, 269–283.
   Google Scholar
• Britner, S., & Pajares, F. (2006). Sources of science self-efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485–499. doi: 10.1002/tea.20131
   Web of Science ®Google Scholar
• Byars-Winston, A., Diestelmann, J., Savoy, J., & Hoyt, W. (2017). Unique effects and moderatos of effects of sources on self-efficacy: A model-based meta-analysis. Journal of Counseling Psychology, 64(6), 645–658. doi: 10.1037/cou0000219
   PubMed Web of Science ®Google Scholar
• Byars-Winston, A., & Fouad, N. A. (2008). Math and science social cognitive variables in college students. Contributions of contextual factors in predicting goals. Journal of Career Assessment, 16(4), 425–440. doi: 10.1177/1069072708318901
   Web of Science ®Google Scholar
• Byars-Winston, A., & Rogers, J. G. (2019). Testing intersectionality of race/ethnicity x gender in a social-cognitive career theory model with science identity. Journal of Counseling Psychology, 66(1), 30–44. doi: 10.1037/cou0000309
   PubMed Web of Science ®Google Scholar
• Casas, Y., & Blanco, Á. (2017). Testing social cognitive career theory in Colombian adolescent secondary students: A study in the field of mathematics and science. Revista Complutense de Educación, 28(4), 1173–1192. doi: 10.5209/RCED.52572
   Web of Science ®Google Scholar
• Chachashvili-Bolotin, S., Milner-Bolotin, S., & Lissitsa, S. (2018). Examination of factors predicting secondary students’ interest in tertiary STEM education. International Journal of Science Education, 38(3), 366–390. doi: 10.1080/09500693.2016.1143137
   Web of Science ®Google Scholar
• Cheryan, S., Ziegler, S., Montoya, A., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35. doi: 10.1037/bul0000052
   PubMed Web of Science ®Google Scholar
• Doménech, R., García, J. R., Montañez, M., & Neut, A. (2018). Afectados por la Revolución Digital: El caso de España [Affected by the digital revolution: The case of Spain]. Papeles de Economía Española [Papers of Spanish Economy], 156, 128–145.
   Google Scholar
• Dubow, W., & Kaminsky, A. (2019). How an online women in technology group provides a locus of opposition. Computers in Human Behavior, 98, 258–293. doi: 10.1016/j.chb.2019.05.006
   Web of Science ®Google Scholar
• Epstein, J. L. (2010). School, family, and community partnerships: Preparing educators and Improving schools (2nd ed.). Boulder, CO: Westview Press.
   Google Scholar
• European Commission. (2012). Rethinking education; Investing in skills for better socio-economic outcomes. France: Strasbourg.
   Google Scholar
• Evers, A., & Sieverding, M. (2015). Academic career intention beyond the PhD: Can the theory of planned behavior explain gender differences? Journal of Applied Social Psychology, 45, 158–172. doi: 10.1111/jasp.12285
   Web of Science ®Google Scholar
• Flores, L., Navarro, R., Smith, J., & Ploszaj, A. (2006). Testing a model of nontraditional career choice goals with Mexican American adolescent men. Journal of Career Assessment, 14(2), 214–234. doi: 10.1177/1069072705283763
   Web of Science ®Google Scholar
• Flores, L., & O’Brien, K. (2002). Career development of Mexican American adolescent women: Test of social cognitive career theory. Journal Counselling Psychology, 49, 14–27. doi: 10.1037/0022-0167.49.1.14
   Web of Science ®Google Scholar
• Foreman, E. K. (1991). Survey sampling principles. New York: Marcel Dekker.
   Google Scholar
• Fort, I., & Murariu, A. (2018). The paths between gender, barriers, social support, coping efficacy and vocational indecision. International Journal of Vocational Guidance, 18, 241–256. doi: 10.1007/s10775-018-9359-4
   Web of Science ®Google Scholar
• Fouad, N., Chang, W.-H., Wan, M., & Singh, R. (2017). Women's reasons for leaving the engineering field. Frontiers in Pyschology, 8, 875. doi: 10.3389/fpsyg.2017.00875
   PubMed Web of Science ®Google Scholar
• Fouad, N. A., Hackett, G., Smith, P. L., Kantamneni, N., Fitzpatrick, M., Haag, S., & Spencer, D. (2010). Barriers and supports for continuing in mathematics and science: Gender and educational level differences. Journal of Vocational Behavior, 77, 361–373. doi: 10.1016/j.jvb.2010.06.004
   Web of Science ®Google Scholar
• Fouad, N. A., & Kantamneni, N. (2008). Contextual factors in vocational psychology: Intersections of individual, group, and societal dimensions. In S. D. Brown & R. W. Lent (Eds.), Handbook of counseling psychology (4th ed., pp. 408–425). New York, NY: Wiley.
   Google Scholar
• Fouad, N. A., Kim, S., Ghosh, A., Chang, W., & Figueiredo, C. (2016). Family influence on career decision making: Validation in India and the United States. Journal of Career Assessment, 24(1), 197–212. doi: 10.1177/1069072714565782
   Web of Science ®Google Scholar
• Fouad, N., & Santana, M. (2017). SCCT and Underrepresented Populations in STEM fields: Moving the Needle. Journal of Career Assessment, 25(1), 24–39. doi: 10.1177/1069072716658324
   Web of Science ®Google Scholar
• Fouad, N. A., & Smith, P. L. (1996). A test of a social cognitive model for middle school students: Math and science. Journal of Counselling Psychology, 43(3), 338–346. doi: 10.1037/0022-0167.43.3.338
   Web of Science ®Google Scholar
• Fouad, N. A., Smith, P. L., & Enochs, I. (1997). Reliability and validity evidence for the middle school self-efficacy scale. Measurement and Evaluation in Counselling and Development, 30, 17–31. doi: 10.1080/07481756.1997.12068914
   Web of Science ®Google Scholar
• Garriot, P. O., Flores, L., Prabhakar, B., Mazzotta, E. C., Liskov, A. C., & Shapiro, J. E. (2014). Parental support and underrepresented students’ math/science interest: The mediating role of learning experiences. Journal of Career Assessment, 22(4), 627–641. doi: 10.1177/1069072713514933
   Web of Science ®Google Scholar
• Garriott, P., Hudyma, A., Keene, C., & Santiago, D. (2015). Social cognitive predictors of first-and non-first generation college sutdents’ academic and life satisfaction. Journal of Counseling Psychology, 62(2), 253–263. doi: 10.1037/cou0000066
   PubMed Web of Science ®Google Scholar
• Gati, I., & Perez, M. (2014). Gender differences in career preferences from 1990 to 2010: Gaps reduced but not eliminated. Journal of Counseling Psychology, 61(1), 63–80. doi: 10.1037/a0034598
   PubMed Web of Science ®Google Scholar
• Gushue, G., & Whitson, M. (2006). The relationship among support, ethnic identity, career decision self-efficacy and outcome expectations in African American high school students. Applying social cognitive career theory. Journal of Career Development, 33(2), 112–124. doi: 10.1177/0894845306293416
   Web of Science ®Google Scholar
• Hargrove, B. K., Creagh, M. C., & Burgess, B. L. (2002). Family interaction patterns as predictors of vocational identity and career decision-making self-efficacy. Journal of Vocational Behavior, 61, 185–201. doi: 10.1006/jvbe.2001.1848
   Web of Science ®Google Scholar
• Hoyle, R. (1995). Structural equation modeling: Concepts, issues, applications. London: Sage.
   Google Scholar
• Inda-Caro, M., Rodríguez-Menéndez, C., & Peña-Calvo, J. V. (2016). Spanish high school students’ interests in technology: Applying social cognitive career theory. Journal of Career Development, 43(4), 291–307. doi: 10.1177/0894845315599253
   Web of Science ®Google Scholar
• Joshi, K. (2018). Modified probability proportional to size sampling. Communications in Satistics. Theory and Methods, 47, 805–815. doi: 10.1080/03610926.2016.1139131
   Web of Science ®Google Scholar
• Kantamneni, N., & Fouad, N. A. (2013). Contextual factors and vocational interest in South Asian Americans’ vocational development. Journal of Career Assessment, 21(1), 57–72. doi: 10.1177/1069072712454699
   Web of Science ®Google Scholar
• Keller, B., & Whiston, S. (2008). The role of parental influences on young adolescent’s career development. Journal of Career Assessment, 16(2), 198–217. doi: 10.1177/1069072707313206
   Web of Science ®Google Scholar
• Kenny, M., & Bledsoe, M. (2005). Contributions of the relational context to career adaptability among urban adolescents. Journal of Vocational Behavior, 66, 257–272. doi: 10.1016/j.jvb.2004.10.002
   Web of Science ®Google Scholar
• Kim, J. I. (2015). American high school students from different ethnic backgrounds: The role of parents and the classroom in achievement motivation. Social Psychology of Education, 18, 411–430. doi: 10.1007/s11218-014-9285-3
   Web of Science ®Google Scholar
• Lent, R. W. (2005). A social cognitive view of career development and counseling. In S. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (pp. 101–125). Hoboken, NJ: Wiley.
   Google Scholar
• Lent, R., & Brown, S. (2019). Social cognitive career theory at 25: Empirical status of the interest, choice, and performance models. Journal of Vocation Behavior, 115. doi: 10.1016/j.jvb.2019.06.004
   Web of Science ®Google Scholar
• Lent, R. W., Brown, S., Brenner, B., Chopra, S. B., Davis, T., Talleyrand, R., & Suthakaran, V. (2001). The role of contextual supports and barriers in the choice of math/science educational options: A test of social cognitive career hypotheses. Journal of Counselling Psychology, 48(4), 474–483. doi: 10.1037/0022-0167.48.4.474
   Web of Science ®Google Scholar
• Lent, R. W., Brown, S., & Hackett, G. (1994). Toward a unifying social cognitive of career academic interest, choice and performance. Journal Vocational Behavior, 45, 79–122. doi: 10.1006/jvbe.1994.1027
   Web of Science ®Google Scholar
• Lent, R. W., Brown, S., & Hackett, G. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counselling Psychology, 47(1), 36–49. doi: 10.1037/0022-0167.47.1.36
   Web of Science ®Google Scholar
• Lent, R. W., Brown, S., Nota, L., & Soresi, S. (2003). Testing social cognitive interest and choice hypotheses across Holland types in Italian high school students. Journal of Vocational Behavior, 62, 101–118. doi: 10.1016/S0001-8791(02)00057-X
   Web of Science ®Google Scholar
• Lent, R. W., Miller, M. J., Smith, P. E., Watford, B. A., Lim, R. H., Hui, K., … Williams, K. (2013). Social cognitive predictors of adjustment to engineering majors across gender and race/ethnicity. Journal of Vocational Behavior, 83, 22–30. doi: 10.1016/j.jvb.2013.02.006
   Web of Science ®Google Scholar
• Lent, R. W., Paixao, M. P., Da Silva, J. T., & Leitao, L. M. (2010). Predicting occupational interest and choice aspirations in Portuguese high school students: A test of social cognitive career theory. Journal of Vocational Behavior, 76, 244–251. doi: 10.1016/j.jvb.2009.10.001
   Web of Science ®Google Scholar
• Lent, R. W., Sheu, H. B., Miller, M. J., Cusick, M. E., Penn, L. T., & Truong, N. N. (2018). Predictors of science, technology, engineering, and mathematics choice options: A meta-analytic path analysis of the social–cognitive choice model by gender and race/ethnicity. Journal of Counseling Psychology, 65(1), 17–35. doi: 10.1037/cou0000243
   PubMed Web of Science ®Google Scholar
• Luzzo, D., & McWhirter, E. (2001). Sex and ethnic differences in the perception of educational and career-related barriers and levels of coping efficacy. Journal of Counseling & Development, 79, 61–67. doi: 10.1002/j.1556-6676.2001.tb01944.x
   Web of Science ®Google Scholar
• Manzano-Sanchez, H., Outley, C., Gonzalez, J. E., & Matarrita-Cascante, D. (2018). The influence of self-efficacy beliefs in the academic performance of latina/o students in the United States: A systematic literature review. Hispanic Journal of Behavioral Sciences, 40(2), 176–209. doi: 10.1177/0739986318761323
   Web of Science ®Google Scholar
• Margolis, H., & McCabe, P. (2006). Improving self-efficacy and motivation: What to do, what to say? Intervention in School and Clinic, 41(4), 218–227. doi: 10.1177/10534512060410040401
   Web of Science ®Google Scholar
• Martincin, K. M., & Stead, G. B. (2015). Five-factor model and difficulties in career decision making: A meta-analysis. Journal of Career Assessment, 23(1), 3–19. doi: 10.1177/1069072714523081
   Web of Science ®Google Scholar
• Metheny, J., & McWhirter, E. H. (2013). Contributions of social status and family support to college students’ career decision self-efficacy and outcome expectations. Journal of Career Assessment, 21(3), 378–394. doi: 10.1177/1069072712475164
   Web of Science ®Google Scholar
• Mozahem, N., Ghanem, C., Hamieh, F., & Shoujaa, R. (2019). Women in engineering: A qualitative investigation of the contextual support and barriers to their career choice. Women's Studies International Forum, 74, 127–136. doi: 10.1016/j.wsif.2019.03.014
   Web of Science ®Google Scholar
• Muthén, L., & Muthén, B. (2010). Mplus. Statistical analysis with latent variables. User’s guide. Los Ángeles: Authors.
   Google Scholar
• Navarro, R., Flores, L., & Worthington, R. (2007). Mexican American middle school students’ goal intentions in mathematics and science: A test of social cognitive career theory. Journal of Counseling Psychology, 54(3), 320–335. doi: 10.1037/0022-0167.54.3.320
   Web of Science ®Google Scholar
• Navarro, R., Legerski, J. P., Brionez, J., Na, H., Lee, H.-S., Lee, B.-H., … Zhu, J. (2019). Social cognitive predictors of engineering students’ academic persistence intentions, satisfaction, and engagement. Journal of Counseling Psychology, 66(2), 170–183. doi: 10.1037/cou0000319
   PubMed Web of Science ®Google Scholar
• Nugent, G., Barker, B., Welch, G., Grandgenett, N., Wu, C., & Nelson, C. (2015). A model of factors contributing to STEM learning and career orientation. International Journal of Science Education, 37(7), 1067–1088. doi: 10.1080/09500693.2015.1017863
   Web of Science ®Google Scholar
• OECD. (2017). OECD science, technology and industry scoreboard 2017: The digital transformation. Paris: OECD Publishing.
   Google Scholar
• Pajares, F. (2006). Self-efficacy during childhood and adolescence: Implications for teachers and parents. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 339–357). Greenwich, CT: Information Age.
   Google Scholar
• Rodríguez-Menéndez, C., Inda-Caro, M., & Fernández-García, C. M. (2016). Influence of social cognitive and gender variables on technological academic interest among Spanish high-school students: Testing social cognitive career theory. International Journal for Educational and Vocational Guidance, 16(3), 305–325. doi: 10.1007/s10775-015-9312-8
   Web of Science ®Google Scholar
• SADEI. (2019). Asturian society for economic and industrial studies. Retrieved from http://www.sadei.es/es/portal.do?aplicacion=10&IDR=50&nuevo=true&idIdioma=1&TR=C
   Google Scholar
• Sallee, J., Cox, R., Flores, L., Cooper, S., Gomez, B., Gifford, C., & Hernández-Gifford, J. (2019). Linking experiential workshops and increased STEM interest among first- and second-generation Latino youth. Journal of Youth Development, 14(1), 198–215. doi: 10.5195/jyd.2019.581
   Web of Science ®Google Scholar
• Sawitri, D. R., Creed, P. A., & Zimmer-Gembeck, M. J. (2014). Parental influences and adolescent career behaviours in a collectivist cultural setting. International Journal for Education and Vocational Guidance, 14, 161–180. doi: 10.1007/s10775-013-9247-x
   Web of Science ®Google Scholar
• Scott, A. B., & Ciani, K. D. (2008). Effects of an undergraduate career class on men's and women's career decision-making self-efficacy and vocational identity. Journal of Career Development, 34(3), 263–285. doi: 10.1177/0894845307311248
   Web of Science ®Google Scholar
• Sheldon, S. B., & Epstein, J. L. (2005). Involvement counts: Family and community partnerships and mathematics achievement. Journal Educational Research, 98, 296–206. doi: 10.3200/JOER.98.4.196-207
   Web of Science ®Google Scholar
• Sheu, H.-B., & Bordon, J. (2017). SCCT research in the international context: Empirical evidence, future, Directions, and Practical implications. Journal of Career Assessment, 25(1), 58–74. doi: 10.1177/1069072716657826
   Web of Science ®Google Scholar
• Sheu, H., Lent, R. W., Brown, S., Miller, M., Hennessy, K., & Duffy, R. D. (2010). Testing the choice model of social cognitive career theory across Holland themes: A meta-analytic path analysis. Journal of Vocational Behavior, 76, 252–264. doi: 10.1016/j.jvb.2009.10.015
   Web of Science ®Google Scholar
• Tiedemann, J. (2000). Parent’s gender stereotypes and teacher’s beliefs as predictors of children’s concept of their mathematical ability in elementary school. Journal of Educational Psychology, 92(1), 144–151. doi: 10.1037/0022-0663.92.1.144
   Web of Science ®Google Scholar
• Turner, S., & Lapan, R. (2002). Career self-efficacy and perceptions of parental support in adolescent career development. Career Development Quarterly, 51, 44–55. doi: 10.1002/j.2161-0045.2002.tb00591.x
   Web of Science ®Google Scholar
• Turner, S., Steward, J., & Lapan, R. (2004). Family factors associated with sixth-grade adolescents’ math and science career interests. Career Development Quarterly, 53, 41–51. doi: 10.1002/j.2161-0045.2004.tb00654.x
   Web of Science ®Google Scholar
• Vázquez, A., & Manassero, M. A. (2009). Patrones actitudinales de la vocación científica y tecnológica en chicas y chicos de secundaria [Attitudinal patterns of scientific and technological talent in girls and boys in secondary education]. Revista Iberoamericana de Educación, 50(4), 1–12.
   Google Scholar
• Whiston, S. C., & Keller, B. K. (2004). The influences of the family of origin on career development: A review and analysis. Counseling Psychologist, 32, 493–568. doi: 10.1177/0011000004265660
   Web of Science ®Google Scholar
• Whitmarsh, L., & Keyser Wentworth, D. (2012). Gender similarity or gender difference? Contemporary women's and men's career patterns. The Career Development Quarterly, 60(1), 47–64. doi: 10.1002/j.2161-0045.2012.00005.x
   Web of Science ®Google Scholar
• Williams, C., & Subich, L. M. (2006). The gendered nature of career related learning experiences: A social cognitive career theory perspective. Journal of Vocational Behavior, 69, 262–275. doi: 10.1016/j.jvb.2006.02.007
   Web of Science ®Google Scholar
• Zeldin, A. L., Britner, S. L., & Pajares, F. (2008). A comparative study of the self-efficacy beliefs of successful men and women in mathematics, science, and technology careers. Journal for Research on Science Teaching, 45, 1036–1058. doi: 10.1002/tea.20195
   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, 215–246. doi: 10.3102/00028312037001215
   Web of Science ®Google Scholar