After-School and Informal STEM Projects: the Effect of Participant Self-Selection

Adkins, R.C. (2012). American desperately needs more STEM students: here’s how to get them. Forbes 7/05/2012. Retrieved from http://www.forbes.com/sites/forbesleadershipforum/2012/07/09/america-desperately-needsmore-stem-students-heres-how-to-get-them/ .

Barab, S. A., Sadler, T. D., Heiselt, C., Hickey, D., & Zuiker, S. (2010). Erratum to: relating narrative, inquiry, and inscriptions: supporting consequential play. Journal of Science Education & Technology, 19(4), 387–407. https://doi.org/10.1007/s10956-010-9220-0 .

Barko, T., & Sadler, T. D. (2013). Learning outcomes associated with classroom implementation of a biotechnology-themed video game. American Biology Teacher (University Of California Press), 75(1), 29–33. https://doi.org/10.1525/abt.2013.75.1.7 .

Byars-Winston, A., Estrada, Y., Howard, C., Davis, D., & Zalapa, J. (2010). Influence of social cognitive and ethnic variables on academic goals of underrepresented students in science and engineering: a multiple-groups analysis. J Couns Psychol, 57(2), 205–218. https://doi.org/10.1037/a0018608 .

Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: science identity as an analytic lens. J Res Sci Teach, 44(8), 1187–1218. https://doi.org/10.1002/tea.20237 .

Chemers, M. M., Zurbriggen, E. L., Syed, M., Goza, B. K., & Bearman, S. (2011). The role of efficacy and identity in science career commitment among underrepresented minority students. J Soc Issues, 67(3), 469–491. https://doi.org/10.1111/j.1540-4560.2011.01710.x .

Clark, D. B., Nelson, B. C., Chang, H., Martinez-Garza, M., Slack, K., & D'Angelo, C. M. (2011). Exploring Newtonian mechanics in a conceptually-integrated digital game: comparison of learning and affective outcomes for students in Taiwan and the United States. Comput Educ, 57(3), 2178–2195. https://doi.org/10.1016/j.compedu.2011.05.007 .

Corter, J. E., Esche, S. K., Chassapis, C., Ma, J., & Nickerson, J. V. (2011). Process and learning outcomes from remotely-operated, simulated, and hands-on student laboratories. Comput Educ, 57(3), 2054–2067. https://doi.org/10.1016/j.compedu.2011.04.009 .

Dimitrov, D. (2009). Quantitative research in education: intermediate and advanced methods. Oceanside: Whittier.

DiSalvo, B., Guzdail, M., Mcklin, T., Meadows, C., Perry, K., Steward, C., Bruckman, A. (2009). Glitch game testers: African American men breaking open the console. Proceedings of DiGRA.

Dunleavy, M., Dede, C., & Mitchell, R. (2009). Affordances and limitations of immersive participatory augmented reality simulations for teaching and learning. Journal of Science Education & Technology, 18(1), 7–22. https://doi.org/10.1007/s10956-008-9119-1 .

Ekstrom, R. B., French, J. W., Harman, H. H., & Dermen, D. (1976). Kit of factor referenced cognitive tests. Princeton: Educational Testing Service.

Feinstein, N. W., & Meshoulam, D. (2014). Science for what public? Addressing equity in American science museums and science centers. J Res Sci Teach, 51(3), 368–394. https://doi.org/10.1002/tea.21130 .

Green, M. & Ohlsson, M. (2007). Comparison of standard resampling methods for performance estimation of artificial neural networks. Third Annual Conference on Computational Intelligence in Medicine and Healthcare.

Jones, L.K. (1987). The Career Key. Raleigh, NC: Author. (Originally published by Ferguson in Chicago).

Ketelhut, D. J. (2010). Assessing gaming, computer and scientific inquiry self-efficacy in a virtual environment. In L. A. Annetta & S. Bronack (Eds.), Serious educational game assessment: practical methods and models for educational games, simulations, and virtual worlds (pp. 1–18). Amsterdam: Sense Publishers.

Lamb, R., Annetta, L.A., Meldrum, J., & Vallett, D. (2012). Constructing and validating the science interest survey. International Journal of Science and Mathematics Education, 10(3), 643–688.

Lamb, R. L., Vallett, D.B., & Annetta, L. (2014). Development of a short form measure or science and technology self-efficacy using Rasch analysis. Journal of Science Education and Technology, 23(5), 641–657. 10.1007/s10956-014-9491-y .

Lamb, R., Cavegnetto, A., & Akmal, T. (2016). Examination of the nonlinear dynamic systems associated with student cognition while engaging in science information processing. International Journal of Science and Mathematics Education, 14(Suppl 1), S187–S205.

Larzelere, R. E., Kuhn, B. R., & Johnson, B. (2004). The intervention selection bias: an underrecognized confound in intervention research. Psychol Bull, 130(2), 289–303. https://doi.org/10.1037/0033-2909.130.2.289 .

Lee, J., Liu, X., Amo, L. C., & Wang, W. L. (2013). Multilevel linkages between state standards, teacher standards, and student achievement: testing external versus internal standards-based education models. Educational Policy, 0895904813475708.

Messick, S. (1980). Test validity and the ethics of assessment. Am Psychol, 35(11), 1012–1027. https://doi.org/10.1037/0003-066X.35.11.1012 .

Mutegi, J. W. (2013). “life’s first need is for us to be realistic” and other reasons for examining the sociocultural construction of race in the science performance of African American students. J Res Sci Teach, 50(1), 82–103. https://doi.org/10.1002/tea.21065 .

National Science Foundation (2010). Science and engineering indicators 2010. Arlington, VA.

Palmer, R. T., Maramba, D. C., Elon Dancy, I. I., & T. (2011). A qualitative investigation of factors promoting the retention and persistence of students of color in STEM. Journal Of Negro Education, 80(4), 491–504.

Salto, L. M., Riggs, M. L., Delgado De Leon, D., Casiano, C. A., & De Leon, M. (2014). Underrepresented minority high school and college students report STEM-pipeline sustaining gains after participating in the Loma Linda University Summer Health Disparities Research Program. PLoS One, 9(9), 1–13. https://doi.org/10.1371/journal.pone.0108497 .

Sanchez, J., & Olivares, R. (2011). Problem solving and collaboration using mobile serious games. Comput Educ, 57(3), 1943–1952. https://doi.org/10.1016/j.compedu.2011.04.012 .

Schifter, C. C., Ketelhut, D., & Nelson, B. C. (2012). Presence and middle school students’ participation in a virtual game environment to assess science inquiry. Journal of Educational Technology & Society, 15(1), 53–63.

Schukajlow, S., Leiss, D., Pekrun, R., Blum, W., Müller, M., & Messner, R. (2012). Teaching methods for modeling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations. Educ Stud Math, 79(2), 215–237. https://doi.org/10.1007/s10649-011-9341-2 .

Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171(3972), 701–703. https://doi.org/10.1126/science.171.3972.701 .

Simpson, J. C. (2000). Segregated by subject: racial differences in the factors influencing academic major between European Americans, Asian Americans, and African, Hispanic, and Native Americans. J High Educ, 72, 63–100.

Slovacek, S. P., Peterfreund, A. R., Glenn, D. K., Whittinghill, J. C., Tucker, S., Rath, K. A., & Reinke, Y. G. (2011). Minority students severely underrepresented in science, technology engineering and math. Journal Of STEM Education: Innovations & Research, 12(1/2), 5–16.

Wang, S.-C. (2003). Artificial neural network. In S.-C. Wang (Ed.), Interdisciplinary computing in Java (pp. 81–100). New York: Springer. https://doi.org/10.1007/978-1-4615-0377-4_5 .

Warren, S. J., Dondlinger, M., & Barab, S. A. (2008). A MUVE towards PBL writing: effects of a digital learning environment designed to improve elementary student writing. J Res Technol Educ, 41(1), 113–140. https://doi.org/10.1080/15391523.2008.10782525 .

Yerrick, R. K., & Gilbert, A. (2011). Constraining the discourse community: how science discourse perpetuates marginalization of underrepresented students. Journal Of Multicultural Discourses, 6(1), 67–91. https://doi.org/10.1080/17447143.2010.510909 .

Zarrett, N., Malanchuk, O., Davis-Kean, P. E., & Eccles, J. (2006). Examining the gender gap in IT by race: young adults’ decisions to pursue an IT career. In J. M. C. W. Aspray (Ed.), Women and information technology: research on underrepresentation (pp. 55–58). Cambridge: MIT Press. https://doi.org/10.7551/mitpress/9780262033459.003.0002 .