In their National Bureau of Economic Research (NBER) working paper, “Does Gifted Education Work? For Which Students?” Card and Giuliano (C&G) made an enormous splash in not just gifted education but also the world (e.g., The Washington Post, The Atlantic, Five Thirty Eight). In this commentary, we highlight what we think C&G have done well, what they could have done better, and what the field can learn from their economic perspectives and approaches to the evaluation of gifted education.

Adelson, J. L., McCoach, D. B., Gavin, M. K. (2012). Examining the effects of gifted programming in mathematics and reading using the ECLS-K. Gifted Child Quarterly, 56, 25-39. doi:10.1177/0016986211431487
Google Scholar | SAGE Journals | ISI
Assouline, S. G., Colangelo, N., VanTassel-Baska, J., Lupkowski-Shoplik, A. (2015). A nation empowered: Evidence trumps the excuses holding back America’s brightest students. Iowa City, IA: Connie Belin and Jacqueline N. Blank International Center for Gifted Education and Talent Development.
Google Scholar
Betteridge’s law of headlines . (n.d.). In Wikipedia. Retrieved from https://en.wikipedia.org/wiki/Betteridge%27s_law_of_headlines
Google Scholar
Borland, J. H., Wright, L. (1994). Identifying young, potentially gifted, economically disadvantaged students. Gifted Child Quarterly, 38, 164-171. doi:10.1177/001698629403800402
Google Scholar | SAGE Journals | ISI
Callahan, C. M., Moon, T. R., Oh, S. (2014). National survey of gifted programs. Charlottesville, VA: National Research Center on the Gifted and Talented.
Google Scholar
Campbell, D. T., Stanley, J. C. (1963). Experimental and quasi-experimetnal designs for research on teaching. In Gage, N. L. (Ed.), Handbook of research on teaching (pp. 171-246). Chicago, IL: Rand McNally.
Google Scholar
Card, D., Giuliano, L. (2014). Does gifted education work? For which students? (NBER Working Paper No. 20453). Retrieved from: http://www.nber.org/papers/w20453
Google Scholar
Colangelo, N., Assouline, S. G., Gross, M. U. M. (2004). A nation deceived: How schools hold back America’s brightest students. Iowa City, IA: Connie Belin and Jacqueline N. Blank International Center for Gifted Education and Talent Development.
Google Scholar
Ferguson, C. J. (2015). “Everybody knows psychology is not a real science”: Public perceptions of psychology and how we can improve our relationship with policymakers, the scientific community, and the general public. American Psychologist, 70, 527-542. doi:10.1037/a0039405
Google Scholar | Crossref | Medline | ISI
Gallagher, J. J. (2000). Unthinkable thoughts: Education of gifted students. Gifted Child Quarterly, 44, 5-12. doi:10.1177/001698620004400102
Google Scholar | SAGE Journals | ISI
Hattie, J. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. New York: Routledge.
Google Scholar
Kulik, J. A., Kulik, C. C. (1984). Effects of accelerated instruction on students. Review of Educational Research, 54, 409-425. doi:10.3102/00346543054003409
Google Scholar | SAGE Journals | ISI
Li, Y., Alfeld, C., Kennedy, R. P., Putallaz, M. (2009). Effects of summer academic programs in middle school on high school test scores, course-taking, and college major. Journal of Advanced Academics, 20, 404-436. doi:10.1177/1932202X0902000303
Google Scholar | SAGE Journals
Lohman, D. F. (2005). How to identify academically gifted minority students (Cognitively Speaking, Vol. 3). Itasca, IL: Riverside.
Google Scholar
Lubinski, D., Humphreys, L. G. (1990). A broadly based analysis of mathematical giftedness. Intelligence, 14, 327-355. doi:10.1016/0160-2896(90)90022-L
Google Scholar | Crossref
Scheiber, N. (2015, May 31). Academics seek a big splash. The New York Times. Retrieved from http://www.nytimes.com/2015/06/01/business/beyond-publish-or-perish-scientific-papers-look-to-make-splash.html?_r=0
Google Scholar
Steenbergen-Hu, S., Moon, S. (2011). The effects of acceleration on high-ability learners: A meta-analysis. Gifted Child Quarterly, 55, 39-53. doi:10.1177/0016986210383155
Google Scholar | SAGE Journals | ISI
Tett, J. (2015). The silo effect. New York: Simon & Schuster.
Google Scholar
Thomas B. Fordham Institute . (2008). High-achieving students in the era of No Child Left Behind. Washington, DC: Author.
Google Scholar
Wai, J., Lubinski, D., Benbow, C. P., Steiger, J. H. (2010). Accomplishment in science technology, engineering, and mathematics (STEM) and its relation to STEM educational dose: A 25-year longitudinal study. Journal of Educational Psychology, 102, 860-871. doi:10.1037/a0019454
Google Scholar | Crossref
Watts, T. W., Duncan, G. J., Chen, M., Claessens, A., Davis-Kean, P. E., Duckworth, K., . . . Susperreguy, M. I. (2015). The role of mediators in the developments of longitudinal mathematics achievement associations. Child Development, 86, 1892-1907. doi:10.1111/cdev.12416
Google Scholar | Crossref | Medline
Yin, R. K. (2003). Case study research: Design and methods (3rd ed.). Thousand Oaks, CA: Sage.
Google Scholar
View access options

My Account

Welcome
You do not have access to this content.



Chinese Institutions / 中国用户

Click the button below for the full-text content

请点击以下获取该全文

Institutional Access

does not have access to this content.

Purchase Content

24 hours online access to download content

Your Access Options


Purchase

JOA-article-ppv for $36.00