Research Article
BibTex RIS Cite

Middle School Boys’ and Girls’ Career Aspirations in Science and Mathematics

Year 2022, , 1 - 30, 12.09.2022
https://doi.org/10.52597/buje.898597

Abstract

The aim of this study is to examine secondary school students' desire to pursue a career in science and mathematics in 2011 and 2015, taking into account gender differences, and to examine how variables related to students' socioeconomic status, motivation and performance predict the desire of female and male students to pursue a career in science and mathematics. The number of books, study environment at home and parents’ educational levels were analyzed as SES variables. While motivational variables were students’ self-efficacy and task value beliefs, performance related variables were their achievement and engagement. The data of the eighth-grade students from Trends in International Mathematics and Science Study (TIMSS) 2011 and 2015 were analyzed. To investigate the year differences of girls’ and boys’ career aspirations in science and mathematics, Chi-Square test was performed. In addition, logistic regression analysis was conducted to investigate the relation between students’ SES, motivation, performance and career aspirations for 2011 and 2015 data separately. The results have indicated that students’ motivation was the strongest and the most common predictor of career aspirations in science and mathematics for boys and girls.

References

  • Ahmed, W., & Mudrey, R. R. (2019). The role of motivational factors in predicting STEM career aspirations. International Journal of School and Educational Psychology, 7(3), 201–214. http://dx.doi.org/ 10.1080/21683603.2017.1401499
  • Ailelerin meslek tercihi “doktorluk” (2013; March 21). Hurriyet. Retrieved May 30, 2020, from https://www.hurriyet.com.tr/teknoloji/ailelerin-meslek-tercihi-doktorluk-22865770
  • Argon, T. & Soysal, A. (2012). Seviye belirleme sınavına yönelik öğretmen ve öğrenci görüşleri. International Journal of Human Sciences, (9)2, 446-474.
  • Atar, H. Y. (2014). Öğretmen niteliklerinin TIMSS 2011 fen başarısına çok düzeyli etkileri. Eğitim ve Bilim, 39(172).
  • Bahar, A., & Adiguzel, T. (2016). Analysis of factors influencing interest in STEM career: Comparison between American and Turkish high school students with high ability. Journal of STEM Education: Innovations and Research, 17(3), 64–69.
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
  • Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (2001). Self‐efficacy beliefs as shapers of children's aspirations and career trajectories. Child development, 72(1), 187-206. https://doi.org/10.1111/1467-8624.00273
  • Blotnicky, K.A., Franz-Odendaal, T., French, F. & Phillip J. (2018). A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students. International Journal of STEM Education, 5-22. https://doi.org/10.1186/s40594-018-0118-3
  • Briggs, C. (2017). The policy of STEM diversity: Diversifying STEM programs in higher education. Journal of STEM Education - Innovations and Research, 17(4), 5. https://www.learntechlib.org/p/174403/.
  • Buchmann, C. (2002). Measuring family background in international studies of education: Conceptual issues and methodological challenges. Methodological Advances in Cross-National Surveys of Educational Achievement, 150–197
  • Bursal, M. (2013). Longitudinal investigation of elementary students' science academic achievement in 4-8th grades: Grade level and gender differences. Educational Sciences: Theory and Practice, 13(2), 1151-1156.
  • Caner, A., Guven, C., Okten, C., Orcan Sakalli, S., (2016). Gender roles and the education gender gap in Turkey. Social Indicators Research, 129, 1231–1254. https://doi.org/10.1007/s11205-015-1163-7
  • Ceci, S. J., & Williams, W. M. (2010). Sex differences in math-intensive fields. Current Directions in Psychological Science, 19(5), 275–279. http://dx.doi.org/1010.1177/0963721410383241
  • Cetin-Dindar, A., (2016). Student motivation in Constructivist learning environment. EURASIA Journal of Mathematics, Science and Technology Education, 12(2): 233–247. https://doi.org/10.12973/eurasia.2016.1399a
  • Chinn, S. (2000). A simple method for converting an odds ratio to effect size for use in meta‐analysis. Statistics in Medicine, 19(22). doi: 10.1002/1097-0258(20001130)19:22<3127::aid-sim784>3.0.co;2-m
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
  • Correll, S. J. (2001). Gender and the career choice process: The role of biased self-assessments. American Journal of Sociology, 10(6), 1691–1730. https://doi.org/10.1086/321299
  • Davenport, C., Dele-Ajayi, O., Emembolu, I., Morton, R., Padwick, A., Portas, A., ... & Woodward, J. (2021). A theory of change for improving children’s perceptions, aspirations and uptake of STEM careers. Research in Science Education, 51(4), 997-1011. http://dx.doi.org/10.1007/s11165-019-09909-6
  • Deci, E. L., & Ryan, R. M. (2000). The " what" and " why" of goal pursuits: Human needs and the self-determination of behavior. Psychological inquiry, 11(4), 227-268. https://doi.org/10.1207/S15327965PLI1104_01
  • Doğan, N., & Barış, F. (2010). Tutum, değer ve özyeterlik değişkenlerinin TIMSS-1999 ve TIMSS-2007 sınavlarında öğrencilerin matematik başarılarını yordama düzeyleri. Journal of Measurement and Evaluation in Education and Psychology, 1(1), 44-50. Retrieved from https://dergipark.org.tr/tr/pub/epod/issue/5808/77253
  • Dorman, J. P. (2001). Associations between classroom environment and academic efficacy. Learning Environments Research, 4, 243–257. https://doi.org/10.1023/A:1014490922622
  • Durik, A. M., Vida, M., & Eccles, J. S. (2006). Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis. Journal of Educational Psychology, 98(2), 382–393. https://doi.org/10.1037/0022-0663.98.2.382
  • Eccles, J. S. (2005). Influences of parents' education on their children's educational attainments: The role of parent and child perceptions. London Review of Education, 3(3), 191-204. https://doi.org/10.1080/14748460500372309
  • Eccles, J. S. (2007). Families, schools, and developing achievement-related motivations and engagement. In J. E. Grusec & P. D. Hastings (Eds.), Handbook of socialization: Theory and research (pp. 665–691). The Guilford Press.
  • Eccles, J. S. (2009). Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44(2), 78–89. https://doi.org/10.1080/00461520902832368
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109-132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  • Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Perspective on achievement and achievement motivation (pp. 75-146). W. H. Freeman.
  • Eccles, J. S., Midgley, C., Wigfield, A., Buchanan, C. M., Reuman, D., Flanagan, C., & Mac Iver, D. (1997). Development during adolescence: The impact of stage–environment fit on young adolescents' experiences in schools and in families (1993). In J. M. Notterman (Ed.), The evolution of psychology: Fifty years of the American Psychologist (pp. 475–501). American Psychological Association. https://doi.org/10.1037/10254-034
  • Evans, J. A. (2015). Gender, self--efficacy, and mathematics achievement: An analysis of fourth grade and eighth grade TIMSS data from the United States (Unpublished doctoral dissertation). Lesley University, Cambridge, MA
  • Farmer, H. S. Y. B., & Chung, M. A. (1995). Variables related to career commitment, mastery motivation, and level of career aspiration among college students. Journal of Career Development, 21(4), 265–278. https://doi.org/10.1177/089484539502100401
  • Fischman, G. E., Topper, A. M., Silova, I., Goebel, J., & Holloway, J. L. (2019). Examining the influence of international large-scale assessments on national education policies. Journal of Education Policy, 34(4), 470-499. https://doi.org/10.1080/02680939.2018.1460493
  • Flores, A. (2007). Examining disparities in mathematics education: Achievement gap or opportunity gap? The High School Journal, 91(1), 29-42. https://doi.org/10.1353/hsj.2007.0022
  • Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th ed.). New York, NY: McGraw-Hill.
  • Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
  • Gelman, A. (2008). Scaling regression inputs by dividing by two standard deviations. Statistics in Medicine, 27(15), 2865-2873. https://doi.org/10.1002/sim.3107
  • Gibbons, M., & Borders, L. (2010). A measure of college‐going self‐efficacy for middle school students. Professional School Counseling, 13(4), 234–243. https://doi.org/10.1177/2156759X1001300404
  • Gustafsson, J.‐E., Hansen, K. Y., & Rosén, M. (2013). Effects of home background on student achievement in reading, mathematics, and science at the fourth grade. In M. O. Martin & I. V. S. Mullis (Eds.), TIMSS and PIRLS 2011. Relationships among reading, mathematics, and science achievement at the fourth grade: Implications for early learning (pp. 181– 287). Boston: TIMSS & PIRLS International Study Center.
  • Hwang, J., Ham, Y. (2021). Relationships between self-efficacy and achievement moderated by teacher interaction: an international comparison study. Mathematics Education Research Journal, 33(1), 135–162. https://doi.org/10.1007/s13394-019-00280-3
  • IBM SPSS Statistics (2020, April 16). How do I get chi-square tests with SPSS Complex Samples crosstabs?. IBM Support. https://www.ibm.com/support/pages/how-do-i-get-chi-square-tests-spss-complex-samples-crosstabs.
  • International Association for the Evaluation of Educational Achievement. (2016). Help Manual for the IDB Analyzer. https://www.iea.nl/data.
  • International Association for the Evaluation of Educational Achievement. (2013). IDB Analyzer (Computer software and manual).
  • Jackson, M. A., Perolini, C. M., Fietzer, A. W., Altschuler, E., Woerner, S., & Hashimoto, N. (2011). Career‐related success learning experiences of academically underachieving urban middle school students. The Counseling Psychologist, 39(7), 1024–1069. https://doi.org/10.1177/0011000010397555
  • Joncas, M., and Foy, P. (2012). Sample Design in TIMSS and PIRLS. Methods and Procedures. Methods and Procedures in TIMSS and PIRLS 2011. TIMSS and Pirls, International Study Centre, Lynch School of Education, Boston College. http://timssandpirls.bc.edu/methods/pdf/TP_Sampling_Design.pdf
  • Kang, J., & Keinonen, T. (2017). The effect of inquiry-based learning experiences on adolescents’ science-related career aspiration in the Finnish context. International Journal of Science Education, 39(12), 1669-1689. https://doi.org/10.1080/09500693.2017.1350790
  • Kenny, M. E., Blustein, D. L., Haase, R. F., Jackson, J., & Perry, J. C. (2006). Setting the stage: Career development and the student engagement process. Journal of Counseling Psychology, 53(2), 272–279. https://doi.org/10.1037/0022-0167.53.2.272
  • Koşan, A. M. A., El, T., Korkmaz, G., & Toraman, Ç. (2021). Being a medical student in Turkey: The myths, challenges and reality. African Educational Research Journal 9(1). 1-8. https://doi.org/10.30918/AERJ.9S1.21.003
  • Lauermann, F., Tsai, Y.-M., & Eccles, J. S. (2017). Math-related career aspirations and choices within Eccles et al.’s expectancy–value theory of achievement-related behaviors. Developmental Psychology, 53(8), 1540–1559. https://doi.org/10.1037/dev0000367
  • Lederman, L. M. (2008). Scientists and 21st century science education. Technology in Society, 30(3–4), 397–400. https://doi.org/10.1016/j.techsoc.2008.04.014
  • Leslie, L. L., McClure, G. T., & Oaxaca, R. L. (1998). Women and minorities in science and engineering: A life sequence analysis. Journal of Higher Education, 69(3), 239-276. https://doi.org/10.2307/2649188
  • Ma, X., & Wang, J. (2001). A confirmatory examination of Walberg's model of educational productivity in student career aspiration. Educational Psychology, 21(4), 443-453. https://doi.org/10.1080/01443410120090821
  • Maltese, A. V., & Tai, R. H. (2010). Eyeballs in the fridge: Sources of early interest in science. International Journal of Science Education, 32(5), 669–685. https://doi.org/10.1080/09500690902792385
  • Ministry of National Education [MoNE]. (2013). İlköğretim Kurumları (İlkokullar ve Ortaokullar) Fen Bilimleri Dersi (3,4,5,6,7 ve 8. Sınıflar) Öğretim Programı. https://www.meb.gov.tr. Ankara.
  • National Science Board (2014). Science and Engineering Indicators 2014. NSB 14-01. Arlington, VA. https://www.nsf.gov/statistics/seind14/index.cfm/chapter-3
  • Niu, L. (2017). Family socioeconomic status and choice of stem major in college: An analysis of a national sample. College Student Journal, 51(2), 298–312.
  • OECD (2013). OECD skills outlook 2013: First results from the survey of adult skills. Paris: Organisation for Economic Co-operation and Development. http://dx.doi.org/10.1787/9789264204256-en
  • Öztürk, F. Z., & Aksoy, H. (2014). Temel eğitimden ortaöğretime geçiş modelinin 8. sınıf öğrenci görüşlerine göre değerlendirilmesi (Ordu ili örneği). Ondokuz Mayıs Üniversitesi Eğitim Fakültesi Dergisi, 33(2), 439-454.
  • Pallant, J. (2001) SPSS survival manual, a step by step guide to data analysis using SPSS for windows (version 10 and 11). London, UK: Open University Press
  • Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications. Prentice Hall.
  • Riegle‐Crumb, C., Moore, C., & Ramos‐Wada, A. (2011). Who wants to have a career in science or math? Exploring adolescents' future aspirations by gender and race/ethnicity. Science Education, 95(3), 458-476. https://doi.org/10.1002/sce.20431
  • Sadler, P. M., Sonnert, G., Hazari, Z., & Tai, R. (2012). science education stability and volatility of STEM career interest in high school: A gender study. Science Education, 96, 411–427. https://doi.org/10.1002/sce.21007
  • Shaw, E. J., & Barbuti, S. (2010). Patterns of persistence in intended college major with a focus on STEM majors. NACADA Journal, 30(2), 19-34. https://doi.org/10.12930/0271-9517-30.2.19
  • Sikora, J., & Pokropek, A. (2011). Gendered career expectations of students: Perspectives from PISA 2006, OECD education working papers (Vol. 57). Paris: OECD. Retrieved March 15, 2011, from https://www.oecd-ilibrary.org/education/gendered-career-expectations-of students_5kghw6891gms-en
  • Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2006). Math and science motivation: A longitudinal examination of the links between choices and beliefs. Developmental Psychology, 42(1), 70–83. https://doi.org/10.1037/0012-1649.42.1.70
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.), Boston: Allyn and Bacon.
  • That, A. C., Milfort, B. Y. M., & Milfort, M. (2012). An examination of the information technology job market. Jobs for the Future. https://www.jff.org/resources/examination-information-technology-job-market/
  • Tucker-Drob, E. M., & Harden, K. P. (2012). Learning motivation mediates gene-by-socioeconomic status interaction on mathematics achievement in early childhood. Learning and Individual Differences, 22(1), 37-45. https://doi.org/10.1016/j.lindif.2011.11.015
  • Tunç, A. İ. (2009). Kız çocuklarının okula gi̇tmeme nedenleri̇ Van i̇li̇ örneği̇. Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi, 6(1), 237–269.
  • Turkish Industry and Business Association. (2014). STEM alanında eğitim almış iş gücüne yönelik talep ve beklentiler araştırması [Demand and expectations research for the workforce trained in STEM]. https://tusiad.org/tr/yayinlar/raporlar/item/8054-stem-alaninda-egitim-almis-isgucune-yonelik-talep-ve-beklentiler-arastirmasi
  • Uzun, N. B., Gelbal, S., & Öğretmen, T. (2010). Timss-R fen başarısı ve duyuşsal özelli̇kler arasında i̇li̇şki̇ni̇n modellenmesi̇ ve modeli̇n cinsiyetler bakımından karşılaştırılması. Kastamonu Egitim Dergisi, 18(2), 531–544.
  • Wang, M. T. (2012). Educational and career interests in math: A longitudinal examination of the links between classroom environment, motivational beliefs, and interests. Developmental Psychology, 48(6), 1643–1657. https://doi.org/10.1037/a0027247
  • Wang, M. T., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy-value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33(4), 304–340. https://doi.org/10.1016/j.dr.2013.08.001
  • Wang, M. T., & Degol, J. (2014). Staying engaged: Knowledge and research needs in student engagement. Child Development Perspectives, 8(3), 137–143. https://doi.org/10.1111/cdep.12073
  • Wang, M. T., Degol, J., & Ye, F. (2015). Math achievement is important, but task values are critical, too: Examining the intellectual and motivational factors leading to gender disparities in STEM careers. Frontiers in Psychology, 6, 1–9. https://doi.org/10.3389/fpsyg.2015.00036
  • Watson, C. M., Quatman, T., & Edler, E. (2002). Career aspirations of adolescent girls: Effects of achievement level, grade, and single-sex school environment. Sex Roles, 46(9–10), 323–335. https://doi.org/10.1023/A:1020228613796
  • Watts, L. L., Frame, M. C., Moffett, R. G., Van Hein, J. L., & Hein, M. (2015). The relationship between gender, perceived career barriers, and occupational aspirations. Journal of Applied Social Psychology, 45(1). https://doi.org/10.1111/jasp.12271
  • Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/10.1006/ceps.1999.1015
  • Wigfield, A., & Eccles, J. S. (2002). The development of competence beliefs, expectancies for success, and achievement values from childhood through adolescence. Development of Achievement Motivation, 91–120. https://doi.org/10.1016/B978-012750053-9/50006-1
  • Wuensch, K. L. (2012). Binary logistic regression with SPSS. Retrieved on May 26, 2021 from http://core.ecu.edu/psyc/wuenschk/MV/MultReg/Logistic-SPSS.pdf
  • Wyss, V. L., Heulskamp, D., & Siebert, C. J. (2012). Increasing middle school student interest in STEM careers with videos of scientists. International Journal of Environmental and Science Education, 7(4), 501-522.
  • Xie, Y., Shauman, K. A., & Shauman, K. A. (2004). Women in science: Career processes and outcomes. Harvard University Press.
  • Yerdelen, S., Kahraman, N., & Taş, Y. (2016). Low socioeconomic status students' STEM career interest in relation to gender, grade level, and STEM attitude. Journal of Turkish Science Education, 13, 59-74. https://doi: 10.12973/tused.10171a
  • Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary educational psychology, 25(1), 82-91. https://doi.org/10.1006/ceps.1999.1016

Kız ve Erkek Öğrencilerin Fen ve Matematik ile İlgili Kariyer İsteklerindeki Eğilimler

Year 2022, , 1 - 30, 12.09.2022
https://doi.org/10.52597/buje.898597

Abstract

Bu çalışmanın amacı ortaokul öğrencilerinin, 2011 ve 2015 yılarında, fen ve matematik ile ilgili kariyer yapma isteklerini cinsiyet farklılığını göz önünde alarak incelemek ve öğrencilerin sosyoekonomik durumu, motivasyonu ve performans ile ilgili değişkenlerin kız ve erkeke öğrencilerin fen ve matematik alanlarda kariyer yapma isteğini nasıl tahmin ettiğini incelemektir. Evdeki kitap sayısı, çalışma ortamı ve anne-babanın eğitim seviyesi sosyoekonomik durum göstergesi olarak kabul edilmiştir. Motivasyon değişkenleri öz-yeterlik ve değer verme olarak ele alınırken, öğrenci performansı ile ilgili değişkenler başarı ve katılım olarak ele alınmıştır. Bu çalışmada, TIMSS 2011 ve 2015 verisi kullanılmıştır. Kız ve erkek öğrencilerin fen ve matematik ile ilgili kariyer yapma isteklerindeki yıl farklılığını incelemek için Ki-kare testi yapılmıştır. Ayrıca, kız ve erkeklerin 2011 ve 2015 teki SES, motivasyon, performans değişkenleri ve kariyer yapma isteği arasındaki ilişkiyi incelemek için her yıl verisi ile ayrı ayrı lojistik regresyon analizleri yapılmıştır. Bulgulara göre, motivasyon, kız ve erkek öğrencilerin kariyer yapma isteğini tahmin etmede en güçlü ve ortak değişkendir.

References

  • Ahmed, W., & Mudrey, R. R. (2019). The role of motivational factors in predicting STEM career aspirations. International Journal of School and Educational Psychology, 7(3), 201–214. http://dx.doi.org/ 10.1080/21683603.2017.1401499
  • Ailelerin meslek tercihi “doktorluk” (2013; March 21). Hurriyet. Retrieved May 30, 2020, from https://www.hurriyet.com.tr/teknoloji/ailelerin-meslek-tercihi-doktorluk-22865770
  • Argon, T. & Soysal, A. (2012). Seviye belirleme sınavına yönelik öğretmen ve öğrenci görüşleri. International Journal of Human Sciences, (9)2, 446-474.
  • Atar, H. Y. (2014). Öğretmen niteliklerinin TIMSS 2011 fen başarısına çok düzeyli etkileri. Eğitim ve Bilim, 39(172).
  • Bahar, A., & Adiguzel, T. (2016). Analysis of factors influencing interest in STEM career: Comparison between American and Turkish high school students with high ability. Journal of STEM Education: Innovations and Research, 17(3), 64–69.
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
  • Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (2001). Self‐efficacy beliefs as shapers of children's aspirations and career trajectories. Child development, 72(1), 187-206. https://doi.org/10.1111/1467-8624.00273
  • Blotnicky, K.A., Franz-Odendaal, T., French, F. & Phillip J. (2018). A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students. International Journal of STEM Education, 5-22. https://doi.org/10.1186/s40594-018-0118-3
  • Briggs, C. (2017). The policy of STEM diversity: Diversifying STEM programs in higher education. Journal of STEM Education - Innovations and Research, 17(4), 5. https://www.learntechlib.org/p/174403/.
  • Buchmann, C. (2002). Measuring family background in international studies of education: Conceptual issues and methodological challenges. Methodological Advances in Cross-National Surveys of Educational Achievement, 150–197
  • Bursal, M. (2013). Longitudinal investigation of elementary students' science academic achievement in 4-8th grades: Grade level and gender differences. Educational Sciences: Theory and Practice, 13(2), 1151-1156.
  • Caner, A., Guven, C., Okten, C., Orcan Sakalli, S., (2016). Gender roles and the education gender gap in Turkey. Social Indicators Research, 129, 1231–1254. https://doi.org/10.1007/s11205-015-1163-7
  • Ceci, S. J., & Williams, W. M. (2010). Sex differences in math-intensive fields. Current Directions in Psychological Science, 19(5), 275–279. http://dx.doi.org/1010.1177/0963721410383241
  • Cetin-Dindar, A., (2016). Student motivation in Constructivist learning environment. EURASIA Journal of Mathematics, Science and Technology Education, 12(2): 233–247. https://doi.org/10.12973/eurasia.2016.1399a
  • Chinn, S. (2000). A simple method for converting an odds ratio to effect size for use in meta‐analysis. Statistics in Medicine, 19(22). doi: 10.1002/1097-0258(20001130)19:22<3127::aid-sim784>3.0.co;2-m
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
  • Correll, S. J. (2001). Gender and the career choice process: The role of biased self-assessments. American Journal of Sociology, 10(6), 1691–1730. https://doi.org/10.1086/321299
  • Davenport, C., Dele-Ajayi, O., Emembolu, I., Morton, R., Padwick, A., Portas, A., ... & Woodward, J. (2021). A theory of change for improving children’s perceptions, aspirations and uptake of STEM careers. Research in Science Education, 51(4), 997-1011. http://dx.doi.org/10.1007/s11165-019-09909-6
  • Deci, E. L., & Ryan, R. M. (2000). The " what" and " why" of goal pursuits: Human needs and the self-determination of behavior. Psychological inquiry, 11(4), 227-268. https://doi.org/10.1207/S15327965PLI1104_01
  • Doğan, N., & Barış, F. (2010). Tutum, değer ve özyeterlik değişkenlerinin TIMSS-1999 ve TIMSS-2007 sınavlarında öğrencilerin matematik başarılarını yordama düzeyleri. Journal of Measurement and Evaluation in Education and Psychology, 1(1), 44-50. Retrieved from https://dergipark.org.tr/tr/pub/epod/issue/5808/77253
  • Dorman, J. P. (2001). Associations between classroom environment and academic efficacy. Learning Environments Research, 4, 243–257. https://doi.org/10.1023/A:1014490922622
  • Durik, A. M., Vida, M., & Eccles, J. S. (2006). Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis. Journal of Educational Psychology, 98(2), 382–393. https://doi.org/10.1037/0022-0663.98.2.382
  • Eccles, J. S. (2005). Influences of parents' education on their children's educational attainments: The role of parent and child perceptions. London Review of Education, 3(3), 191-204. https://doi.org/10.1080/14748460500372309
  • Eccles, J. S. (2007). Families, schools, and developing achievement-related motivations and engagement. In J. E. Grusec & P. D. Hastings (Eds.), Handbook of socialization: Theory and research (pp. 665–691). The Guilford Press.
  • Eccles, J. S. (2009). Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44(2), 78–89. https://doi.org/10.1080/00461520902832368
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109-132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  • Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Perspective on achievement and achievement motivation (pp. 75-146). W. H. Freeman.
  • Eccles, J. S., Midgley, C., Wigfield, A., Buchanan, C. M., Reuman, D., Flanagan, C., & Mac Iver, D. (1997). Development during adolescence: The impact of stage–environment fit on young adolescents' experiences in schools and in families (1993). In J. M. Notterman (Ed.), The evolution of psychology: Fifty years of the American Psychologist (pp. 475–501). American Psychological Association. https://doi.org/10.1037/10254-034
  • Evans, J. A. (2015). Gender, self--efficacy, and mathematics achievement: An analysis of fourth grade and eighth grade TIMSS data from the United States (Unpublished doctoral dissertation). Lesley University, Cambridge, MA
  • Farmer, H. S. Y. B., & Chung, M. A. (1995). Variables related to career commitment, mastery motivation, and level of career aspiration among college students. Journal of Career Development, 21(4), 265–278. https://doi.org/10.1177/089484539502100401
  • Fischman, G. E., Topper, A. M., Silova, I., Goebel, J., & Holloway, J. L. (2019). Examining the influence of international large-scale assessments on national education policies. Journal of Education Policy, 34(4), 470-499. https://doi.org/10.1080/02680939.2018.1460493
  • Flores, A. (2007). Examining disparities in mathematics education: Achievement gap or opportunity gap? The High School Journal, 91(1), 29-42. https://doi.org/10.1353/hsj.2007.0022
  • Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th ed.). New York, NY: McGraw-Hill.
  • Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
  • Gelman, A. (2008). Scaling regression inputs by dividing by two standard deviations. Statistics in Medicine, 27(15), 2865-2873. https://doi.org/10.1002/sim.3107
  • Gibbons, M., & Borders, L. (2010). A measure of college‐going self‐efficacy for middle school students. Professional School Counseling, 13(4), 234–243. https://doi.org/10.1177/2156759X1001300404
  • Gustafsson, J.‐E., Hansen, K. Y., & Rosén, M. (2013). Effects of home background on student achievement in reading, mathematics, and science at the fourth grade. In M. O. Martin & I. V. S. Mullis (Eds.), TIMSS and PIRLS 2011. Relationships among reading, mathematics, and science achievement at the fourth grade: Implications for early learning (pp. 181– 287). Boston: TIMSS & PIRLS International Study Center.
  • Hwang, J., Ham, Y. (2021). Relationships between self-efficacy and achievement moderated by teacher interaction: an international comparison study. Mathematics Education Research Journal, 33(1), 135–162. https://doi.org/10.1007/s13394-019-00280-3
  • IBM SPSS Statistics (2020, April 16). How do I get chi-square tests with SPSS Complex Samples crosstabs?. IBM Support. https://www.ibm.com/support/pages/how-do-i-get-chi-square-tests-spss-complex-samples-crosstabs.
  • International Association for the Evaluation of Educational Achievement. (2016). Help Manual for the IDB Analyzer. https://www.iea.nl/data.
  • International Association for the Evaluation of Educational Achievement. (2013). IDB Analyzer (Computer software and manual).
  • Jackson, M. A., Perolini, C. M., Fietzer, A. W., Altschuler, E., Woerner, S., & Hashimoto, N. (2011). Career‐related success learning experiences of academically underachieving urban middle school students. The Counseling Psychologist, 39(7), 1024–1069. https://doi.org/10.1177/0011000010397555
  • Joncas, M., and Foy, P. (2012). Sample Design in TIMSS and PIRLS. Methods and Procedures. Methods and Procedures in TIMSS and PIRLS 2011. TIMSS and Pirls, International Study Centre, Lynch School of Education, Boston College. http://timssandpirls.bc.edu/methods/pdf/TP_Sampling_Design.pdf
  • Kang, J., & Keinonen, T. (2017). The effect of inquiry-based learning experiences on adolescents’ science-related career aspiration in the Finnish context. International Journal of Science Education, 39(12), 1669-1689. https://doi.org/10.1080/09500693.2017.1350790
  • Kenny, M. E., Blustein, D. L., Haase, R. F., Jackson, J., & Perry, J. C. (2006). Setting the stage: Career development and the student engagement process. Journal of Counseling Psychology, 53(2), 272–279. https://doi.org/10.1037/0022-0167.53.2.272
  • Koşan, A. M. A., El, T., Korkmaz, G., & Toraman, Ç. (2021). Being a medical student in Turkey: The myths, challenges and reality. African Educational Research Journal 9(1). 1-8. https://doi.org/10.30918/AERJ.9S1.21.003
  • Lauermann, F., Tsai, Y.-M., & Eccles, J. S. (2017). Math-related career aspirations and choices within Eccles et al.’s expectancy–value theory of achievement-related behaviors. Developmental Psychology, 53(8), 1540–1559. https://doi.org/10.1037/dev0000367
  • Lederman, L. M. (2008). Scientists and 21st century science education. Technology in Society, 30(3–4), 397–400. https://doi.org/10.1016/j.techsoc.2008.04.014
  • Leslie, L. L., McClure, G. T., & Oaxaca, R. L. (1998). Women and minorities in science and engineering: A life sequence analysis. Journal of Higher Education, 69(3), 239-276. https://doi.org/10.2307/2649188
  • Ma, X., & Wang, J. (2001). A confirmatory examination of Walberg's model of educational productivity in student career aspiration. Educational Psychology, 21(4), 443-453. https://doi.org/10.1080/01443410120090821
  • Maltese, A. V., & Tai, R. H. (2010). Eyeballs in the fridge: Sources of early interest in science. International Journal of Science Education, 32(5), 669–685. https://doi.org/10.1080/09500690902792385
  • Ministry of National Education [MoNE]. (2013). İlköğretim Kurumları (İlkokullar ve Ortaokullar) Fen Bilimleri Dersi (3,4,5,6,7 ve 8. Sınıflar) Öğretim Programı. https://www.meb.gov.tr. Ankara.
  • National Science Board (2014). Science and Engineering Indicators 2014. NSB 14-01. Arlington, VA. https://www.nsf.gov/statistics/seind14/index.cfm/chapter-3
  • Niu, L. (2017). Family socioeconomic status and choice of stem major in college: An analysis of a national sample. College Student Journal, 51(2), 298–312.
  • OECD (2013). OECD skills outlook 2013: First results from the survey of adult skills. Paris: Organisation for Economic Co-operation and Development. http://dx.doi.org/10.1787/9789264204256-en
  • Öztürk, F. Z., & Aksoy, H. (2014). Temel eğitimden ortaöğretime geçiş modelinin 8. sınıf öğrenci görüşlerine göre değerlendirilmesi (Ordu ili örneği). Ondokuz Mayıs Üniversitesi Eğitim Fakültesi Dergisi, 33(2), 439-454.
  • Pallant, J. (2001) SPSS survival manual, a step by step guide to data analysis using SPSS for windows (version 10 and 11). London, UK: Open University Press
  • Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications. Prentice Hall.
  • Riegle‐Crumb, C., Moore, C., & Ramos‐Wada, A. (2011). Who wants to have a career in science or math? Exploring adolescents' future aspirations by gender and race/ethnicity. Science Education, 95(3), 458-476. https://doi.org/10.1002/sce.20431
  • Sadler, P. M., Sonnert, G., Hazari, Z., & Tai, R. (2012). science education stability and volatility of STEM career interest in high school: A gender study. Science Education, 96, 411–427. https://doi.org/10.1002/sce.21007
  • Shaw, E. J., & Barbuti, S. (2010). Patterns of persistence in intended college major with a focus on STEM majors. NACADA Journal, 30(2), 19-34. https://doi.org/10.12930/0271-9517-30.2.19
  • Sikora, J., & Pokropek, A. (2011). Gendered career expectations of students: Perspectives from PISA 2006, OECD education working papers (Vol. 57). Paris: OECD. Retrieved March 15, 2011, from https://www.oecd-ilibrary.org/education/gendered-career-expectations-of students_5kghw6891gms-en
  • Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2006). Math and science motivation: A longitudinal examination of the links between choices and beliefs. Developmental Psychology, 42(1), 70–83. https://doi.org/10.1037/0012-1649.42.1.70
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.), Boston: Allyn and Bacon.
  • That, A. C., Milfort, B. Y. M., & Milfort, M. (2012). An examination of the information technology job market. Jobs for the Future. https://www.jff.org/resources/examination-information-technology-job-market/
  • Tucker-Drob, E. M., & Harden, K. P. (2012). Learning motivation mediates gene-by-socioeconomic status interaction on mathematics achievement in early childhood. Learning and Individual Differences, 22(1), 37-45. https://doi.org/10.1016/j.lindif.2011.11.015
  • Tunç, A. İ. (2009). Kız çocuklarının okula gi̇tmeme nedenleri̇ Van i̇li̇ örneği̇. Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi, 6(1), 237–269.
  • Turkish Industry and Business Association. (2014). STEM alanında eğitim almış iş gücüne yönelik talep ve beklentiler araştırması [Demand and expectations research for the workforce trained in STEM]. https://tusiad.org/tr/yayinlar/raporlar/item/8054-stem-alaninda-egitim-almis-isgucune-yonelik-talep-ve-beklentiler-arastirmasi
  • Uzun, N. B., Gelbal, S., & Öğretmen, T. (2010). Timss-R fen başarısı ve duyuşsal özelli̇kler arasında i̇li̇şki̇ni̇n modellenmesi̇ ve modeli̇n cinsiyetler bakımından karşılaştırılması. Kastamonu Egitim Dergisi, 18(2), 531–544.
  • Wang, M. T. (2012). Educational and career interests in math: A longitudinal examination of the links between classroom environment, motivational beliefs, and interests. Developmental Psychology, 48(6), 1643–1657. https://doi.org/10.1037/a0027247
  • Wang, M. T., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy-value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33(4), 304–340. https://doi.org/10.1016/j.dr.2013.08.001
  • Wang, M. T., & Degol, J. (2014). Staying engaged: Knowledge and research needs in student engagement. Child Development Perspectives, 8(3), 137–143. https://doi.org/10.1111/cdep.12073
  • Wang, M. T., Degol, J., & Ye, F. (2015). Math achievement is important, but task values are critical, too: Examining the intellectual and motivational factors leading to gender disparities in STEM careers. Frontiers in Psychology, 6, 1–9. https://doi.org/10.3389/fpsyg.2015.00036
  • Watson, C. M., Quatman, T., & Edler, E. (2002). Career aspirations of adolescent girls: Effects of achievement level, grade, and single-sex school environment. Sex Roles, 46(9–10), 323–335. https://doi.org/10.1023/A:1020228613796
  • Watts, L. L., Frame, M. C., Moffett, R. G., Van Hein, J. L., & Hein, M. (2015). The relationship between gender, perceived career barriers, and occupational aspirations. Journal of Applied Social Psychology, 45(1). https://doi.org/10.1111/jasp.12271
  • Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/10.1006/ceps.1999.1015
  • Wigfield, A., & Eccles, J. S. (2002). The development of competence beliefs, expectancies for success, and achievement values from childhood through adolescence. Development of Achievement Motivation, 91–120. https://doi.org/10.1016/B978-012750053-9/50006-1
  • Wuensch, K. L. (2012). Binary logistic regression with SPSS. Retrieved on May 26, 2021 from http://core.ecu.edu/psyc/wuenschk/MV/MultReg/Logistic-SPSS.pdf
  • Wyss, V. L., Heulskamp, D., & Siebert, C. J. (2012). Increasing middle school student interest in STEM careers with videos of scientists. International Journal of Environmental and Science Education, 7(4), 501-522.
  • Xie, Y., Shauman, K. A., & Shauman, K. A. (2004). Women in science: Career processes and outcomes. Harvard University Press.
  • Yerdelen, S., Kahraman, N., & Taş, Y. (2016). Low socioeconomic status students' STEM career interest in relation to gender, grade level, and STEM attitude. Journal of Turkish Science Education, 13, 59-74. https://doi: 10.12973/tused.10171a
  • Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary educational psychology, 25(1), 82-91. https://doi.org/10.1006/ceps.1999.1016
There are 82 citations in total.

Details

Primary Language English
Journal Section Original Articles
Authors

Nurcan Kahraman 0000-0003-1009-3047

Publication Date September 12, 2022
Published in Issue Year 2022

Cite

APA Kahraman, N. (2022). Middle School Boys’ and Girls’ Career Aspirations in Science and Mathematics. Bogazici University Journal of Education, 39-1(1), 1-30. https://doi.org/10.52597/buje.898597