Cited by 103Career Development and DiversityMuseums and Cultural HeritageScience Education and Perceptions

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An Informal Science Education Program’s Impact on STEM Major and STEM Career Outcomes

Habig, Bobby, Gupta, Preeti, Levine, Brian, Adams, Jennifer·2020·Research in Science Education

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Crossref · 10.1007/s11165-018-9722-y

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Research works printed but not linked: 40

  1. Archer, L., Dewitt, J., & Willis, B. (2014). Adolescent boys’ science aspirations—masculinity, capital, and power. Journal of Research in Science Teaching, 51(1), 1–30. · DOI
  2. Bell, P. (2009). Learning science in informal environments people, places, and pursuits. Washington, DC: National Academies Press.
  3. Bourdieu, P. (1986). The forms of capital. In J. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241–258). New York: Greenwood.
  4. Campbell, J. L., Quincy, C., Osserman, J., & Pedersen, O. K. (2013). Coding in-depth semistructured interviews problems of unitization and intercoder reliability and agreement. Sociological Methods & Research, 42(3), 294–320. · DOI · Paper page
  5. Carolan, B. V. (2014). Social network analysis and education: Theory, methods & applications. Los Angeles: SAGE. · DOI
  6. Creswell, J. W. (2013). Qualitative inquiry and research design: choosing among five approaches. Los Angeles: SAGE Publications.
  7. Dabney, K. P., Tai, R. H., Almarode, J. T., Miller-Friedmann, J. L., Sonnert, G., Sadler, P. M., & Hazari, Z. (2012). Out-of-school time science activities and their association with career interest in STEM. Communication and Public Engagement, 2(1), 63–79.
  8. Denzin, N. K. (2001). The reflexive interview and a performative social science. Qualitative Research, 1(1), 23–46. · DOI
  9. Dierking, L. D., & Carroll, L. (2008). Evidence and categories of ISE impacts. In A. J. Friedman (Ed.), Framework for evaluating impacts of informal science education projects. Washington, DC: National Science Foundation.
  10. Dierking, L. D., & Falk, J. H. (2010). The 95 percent solution: school is not where most Americans learn most of their science. American Scientist, 98(6), 486. · DOI
  11. Erdogan, N., & Stuessy, C. L. (2015). Modeling successful STEM high schools in the United States: an ecology framework. International Journal of Education in Mathematics, Science and Technology., 3. · DOI
  12. Fadigan, K. A., & Hammrich, P. L. (2004). A longitudinal study of the educational and career trajectories of female participants of an urban informal science education program. Journal of Research in Science Teaching, 41(8), 835–860. · DOI
  13. Fitzhugh, G. When a triangle becomes a three-sided square: measuring students’ science, technology, engineering and math (STEM) interest and learning through data triangulation. Presented at 2009 American Evaluation Association Conference, Orlando.
  14. Gray, S. (2013). Black students in science: more than meets the eye. International Journal of Education and Culture, 2(4).
  15. Gupta, P., & Siegel, E. (2008). Science career ladder at the NY Hall of Science: youth facilitators as agents of inquiry. In Exemplary science in informal education settings: standards-based success stories. Arlington: National Science Teachers Association.
  16. Hahs-Vaughn, D. L., & Onwuegbuzie, A. J. (2006). Estimating and using propensity score analysis with complex samples. Journal of Experimental Education, 75(1), 31–65. · DOI
  17. Hofstein, A., & Rosenfeld, S. (1996). Bridging the gap between formal and informal science learning. Studies in Science Education, 28, 87–112. · DOI
  18. Hubelbank, J., Demetry, C., Errington, S., Blaisdell, S., Quinn, P., Rosenthal, E., & Sontgerath, S. (2007) Long-term effects of a middle school engineering outreach program for girls: a controlled study. Presented at 2007 ASEE Annual Conference & Exposition.
  19. Jayaratne, T. E., Thomas, N. G., & Trautmann, M. (2003). Intervention program to keep girls in the science pipeline: outcome differences by ethnic status. Journal of Research in Science Teaching, 40(4), 393–414. · DOI
  20. Koch, M., Georges, A., Gorges, T., & Fujii, R. (2010). Engaging youth with STEM professionals in afterschool programs. Meridian, 13(1), 1–15.
  21. Landivar, L. C. (2013a). Disparities in STEM employment by sex, race, and Hispanic origin. Education Review, 29(6), 911–922.
  22. Maerten-Rivera, J., Myers, N. D., Lee, O., & Penfield, R. (2010). Student and school predictors of high-stakes assessment in science. Science Education, 94(6), 937–962. · DOI
  23. McCreedy, D., & Dierking, L. D. (2013) Cascading influences: long-term impacts of informal STEM experiences for girls. Presented at 27th Annual Visitor Studies Association Conference.
  24. Melguizo, T., & Wolniak, G. (2012). The earnings benefits of majoring in STEM fields among high achieving minority students. Journal of the Association for Institutional Research, 53(4), 383–405.
  25. National Association of College Employers. (2015). Starting salaries of college graduates. Bethlehem: National Association of College Employers.
  26. National Research Council. (2015). Guide to implementing the next generation science standards. Washington, D.C: National Academies Press.
  27. National Science Board. (2016). Science & education indicators 2016. Washington, D.C.: National Science Foundation.
  28. Palmer, R. T., Davis, J. R., Moore, J. L., & Hilton, A. A. (2010). A nation at risk: increasing college participation and persistence among African American males to stimulate U.S. global competitiveness. Journal of African American Males in Education, 1(2), 105.
  29. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. · DOI · Paper page
  30. Schumacher, M, Stansbury, K., Johnson, M., Floyd, S., Reid, C., Noland, M., & Leukefeld, C. (2009) The Young Women in Science Program: a five-year follow-up on an intervention to change science attitudes, academic behavior, and career aspirations. Journal of Women and Minorities in Science and Engineering 15 (4):303-321. · DOI
  31. Stake, J. E., & Mares, K. R. (2001). Science enrichment programs for gifted high school girls and boys: predictors of program impact on science confidence and motivation. Journal of Research in Science Teaching, 38(10), 1065–1088. · DOI
  32. Stake, J. E., & Mares, K. R. (2005). Evaluating the impact of science-enrichment programs on adolescents’ science motivation and confidence: the splashdown effect. Journal of Research in Science Teaching, 42(4), 359–375. · DOI
  33. Stetsenko, A. (2008). From relational ontology to transformative activist stance on development and learning: expanding Vygotsky’s (CHAT) Project. Cultural Studies of Science Education, 3(2), 471–491. · DOI
  34. Strauss, A. L., & Corbin, J. M. (1998). Basics of qualitative research: techniques and procedures for developing grounded theory. Thousand Oaks: Sage Publications.
  35. Thomas, D. R. (2003). A general inductive approach for qualitative data analysis. In School of Population Health. New Zealand: University of Auckland.
  36. Thomas, J., and Love, B. L. (2002). NCSSSMST longitudinal study of graduates: a three-year analysis of college freshman and college seniors. NCSSSMST Journal, 7(2), 4–8.
  37. Tytler, R., & Osborne, J. (2012). Student attitudes and aspirations towards science. In B. J. Fraser, K. Tobin, & C. J. McRobbie (Eds.), Second international handbook of science education (vol. 24, pp. 597–625). Dordrecht, The Netherlands: Springer · DOI
  38. Winkleby, M. A., Ned, J., Ahn, D., Koehler, A., & Kennedy, J. D. (2009). Increasing diversity in science and health professions: a 21-year longitudinal study documenting college and career success. Journal of Science Education and Technology, 18(6), 535–545. · DOI
  39. Xie, Y., Fang, M., & Shauman, K. (2015). STEM education. Annual Reviews in Sociology, 41, 331–357. · DOI
  40. Young, J., Ortiz, N., & Young, J. (2017). STEMulating interest: a meta-analysis of the effects of out-of-school time on student STEM interest. International Journal of Education in Mathematics, Science and Technology, 5(1), 62–74. · DOI

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Metadata

Authors
Habig, B., Gupta, P., Levine, B., & Adams, J.
Affiliations
  • Queens College, CUNY (US)
  • American Museum of Natural History (US)
Corresponding author
Habig, Bobby
Venue
Research in Science Education
Published
2018-04-04
Volume
50
Issue
3
Pages
1051-1074
ISSN
  • 0157-244X (ISSN-L)
  • 1573-1898
OpenAlex
W2796214910
Cited by
103
References
5
Citations by year
2026: 8 · 2025: 16 · 2024: 18 · 2023: 17 · 2022: 21 · 2021: 18 · 2020: 3 · 2019: 2
FWCI
11.43
Type
journal article
Language
en
Open access
closed
Locations
Research in Science Education (publishedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Career Development and Diversity
  • Social Sciences › Arts and Humanities › Museology › Museums and Cultural Heritage
  • Social Sciences › Psychology › Developmental and Educational Psychology › Science Education and Perceptions
Keywords
informal science education, STEM persistence, STEM careers, STEM majors, out-of-school time programs, American Museum of Natural History, underrepresented groups in STEM, women in STEM, science identity, possible selves, social networks, program design principles

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CoChat. (2026). Citation check: An Informal Science Education Program’s Impact on STEM Major and STEM Career Outcomes. https://app.cochat.ai/papers/10.1007/s11165-018-9722-y
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Habig, B., Gupta, P., Levine, B., & Adams, J. (2020). An Informal Science Education Program’s Impact on STEM Major and STEM Career Outcomes. Research in Science Education. https://doi.org/10.1007/s11165-018-9722-y