The commentaries in this special issue as well as the articles they address contribute to the knowledge base about advanced learners, how they are identified, and how they are best served. In our Editors’ commentary, we have organized our thoughts following the same order in which the commentaries appear in the remainder of this issue. As the other commentary authors have done, in our discussion, we endeavor to provide our own perspective as well as a coalescing of ideas around the ideas addressed in each commentary.
AdelsonJ. L.McCoachD. B.GavinM. 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
2.
BuiS. A.CraigS. G.ImbermanS. A. (2011). Is gifted education a bright idea? Assessing the impact of gifted and talented programs on achievement (National Bureau of Economic Research Working Paper No. 17089). Retrieved from NBER website: http://www.nber.org/papers/w17089
3.
CardD.GiulianoL. (2014). Does gifted education work? For which students? (National Bureau of Economic Research Working Paper No. 20453). Retrieved from NBER website: http://www.nber.org/papers/w20453
4.
CardD.GiulianoL. (2015). Can universal screening increase the representation of low income and minority students in gifted education? (National Bureau of Economic Research Working Paper No. 21519). Retrieved from NBER website: http://www.nber.org/papers/w21519
5.
CollinsC. A.GanL. (2013). Does sorting students improve scores? An analysis of class composition (National Bureau of Economic Research Working Paper No. 18848). Retrieved from NBER website: http://www.nber.org/papers/w18848
6.
DavisB.EngbergJ.EppleD. N.SiegH.ZimmerR. (2010). Evaluating the gifted program of an urban school district using a modified regression discontinuity design (National Bureau of Economic Research Working Paper No. 16414). Retrieved from NBER website: http://www.nber.org/papers/w16414
7.
GentryM.MannR. L. (2008). Total school cluster grouping and differentiation: A comprehensive, research-based plan for raising student achievement and improving teacher practices. Mansfield Center, CT: Creative Learning Press.
8.
MatthewsM. S.PetersS. J. (in press). Methods to increase the identification rate of students from traditionally underrepresented populations for gifted services. In PfeifferS.Shaunessy-DedrickE.NicponM. (Eds.), American Psychological Association handbook on gifted education.Washington, DC.
9.
MatthewsM. S.PetersS. J.HousandA. M. (2012). Regression discontinuity design in gifted and talented education research. Gifted Child Quarterly, 56, 105-112. doi:10.1177/0016986212444845
10.
MatthewsM. S.RitchotteJ. A.JollyJ. (2014). What’s wrong with giftedness? Parents’ perceptions of the gifted label. International Studies in Sociology of Education, 24, 372-393. doi:10.1080/09620214.2014.990225
11.
McBeeM. T. (2006). A descriptive analysis of referral sources for gifted identification screening by race and socioeconomic status. Journal of Secondary Gifted Education, 17, 103-111.
12.
McBeeM. T.PetersS. J.MillerE. M. (in press). The impact of the nomination stage on gifted program identification: A comprehensive psychometric analysis. Gifted Child Quarterly.
13.
McBeeM. T.ShaunessyE.MatthewsM. S. (2012). Policy matters: An analysis of district-level efforts to increase the identification of underrepresented learners. Journal of Advanced Academics, 23, 326-344. doi:10.1177/1932202x12463511
14.
National Association for Gifted Children. (2015). 2014-2015 state of the states in gifted education. Washington, DC: Author.
15.
Olszewski-KubiliusP.ThomsonD. (2015). Talent development as a framework for gifted education. Gifted Child Today, 38, 49-59. doi:10.1177/1076217514556531
16.
PetersS. J.MatthewsM.McBeeM.McCoachD. B. (2014). Beyond gifted education: Designing and implementing advanced academic programs. Waco, TX: Prufrock Press.
17.
WelschD. M.StatzB.SkidmoreM. (2010). An examination of inter-district public school transfers in Wisconsin. Economics in Education Review, 29, 126-137. doi:10.1016/j.econedurev.2009.07.008
