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Harzing, Anne-Wil – Journal of Management Education, 2016
This brief commentary investigates whether article topic, author profile, or journal rank significantly influence an article's citation levels. Anne-Wil Harzing's regression analysis shows that, when all factors are taken into account at the same time, it is "what" is published (topic) and "who" has published it (author) that…
Descriptors: Business Administration Education, Theories, Educational Research, Classification
Wang, Jue; Engelhard, George, Jr.; Lu, Zhenqiu – Measurement: Interdisciplinary Research and Perspectives, 2014
The authors of the focus article in this issue have emphasized the continuing confusion among some researchers regarding various indicators used in structural equation models (SEMs). Their major claim is that causal indicators are not inherently unstable, and even if they are unstable they are at least not more unstable than other types of…
Descriptors: Structural Equation Models, Measurement, Statistical Analysis, Causal Models
Moon, Tonya R. – Journal of Advanced Academics, 2016
Using data from a large southwestern school district, Bui, Craig, and Imberman investigated the effects of gifted and talented programming on middle school students' achievement and behavior (attendance and discipline) through two avenues. Using a regression discontinuity design for the first set of analyses, the authors took advantage of a…
Descriptors: Gifted, Middle School Students, Academic Achievement, Magnet Schools
Steenbergen-Hu, Saiying; Olszewski-Kubilius, Paula – Journal of Advanced Academics, 2016
The article by Davis, Engberg, Epple, Sieg, and Zimmer (2010) represents one of the recent research efforts from economists in evaluating the impact of gifted programs. It can serve as a worked example of the implementation of the regression discontinuity (RD) design method in gifted education research. In this commentary, we first illustrate the…
Descriptors: Special Education, Gifted, Identification, Program Evaluation
Wagner, Richard K.; Herrera, Sarah K.; Spencer, Mercedes; Quinn, Jamie M. – Journal of Learning Disabilities, 2015
Recently, Tunmer and Chapman provided an alternative model of how decoding and listening comprehension affect reading comprehension that challenges the simple view of reading. They questioned the simple view's fundamental assumption that oral language comprehension and decoding make independent contributions to reading comprehension by arguing…
Descriptors: Reading Comprehension, Decoding (Reading), Listening Comprehension, Oral Language
Nokelainen, Petri; Silander, Tomi – Frontline Learning Research, 2014
This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…
Descriptors: Models, Classification, Accuracy, Regression (Statistics)
Adelson, Jill L.; Kelcey, Benjamin – Journal of Advanced Academics, 2016
In this commentary of "Evaluating the Gifted Program of an Urban School District Using a Modified Regression Discontinuity Design" by Davis, Engberg, Epple, Sieg, and Zimmer, we examine the background of the study, critique the methods used, and discuss the results and implications. The study used a fuzzy regression discontinuity design…
Descriptors: Special Education, Gifted, Program Evaluation, Regression (Statistics)
Kettler, Todd – Journal of Advanced Academics, 2016
Bui, Craig, and Imberman assessed the impact of gifted and talented programs on student achievement using regression discontinuity and random assignment to gifted magnet schools. In both analyses, they found minimal impact of the gifted and talented programs on student achievement. This commentary addresses two concerns associated with the study.…
Descriptors: Economic Research, Educational Research, Gifted, Special Education
Edelsbrunner, Peter; Schneider, Michael – Frontline Learning Research, 2013
Musso et al. (2013) predict students' academic achievement with high accuracy one year in advance from cognitive and demographic variables, using artificial neural networks (ANNs). They conclude that ANNs have high potential for theoretical and practical improvements in learning sciences. ANNs are powerful statistical modelling tools but they can…
Descriptors: Prediction, Statistical Analysis, Structural Equation Models, Academic Achievement
Peters, Scott J.; Matthews, Michael Stuart – Journal of Advanced Academics, 2016
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…
Descriptors: Special Education, Gifted, Economic Research, Educational Research
Baker, Bruce D. – National Education Policy Center, 2016
A recent report from Michigan's Mackinac Center asserts that there is little or no relationship between student achievement and marginal increases to what the report characterizes as the already "high" levels of spending in that state. Yet the report never substantiates its assertion that present spending levels are high, on average, or…
Descriptors: Correlation, Academic Achievement, Educational Finance, Regression (Statistics)
Bailey, Thomas; Jaggars, Shanna Smith; Scott-Clayton, Judith – Community College Research Center, Columbia University, 2013
Over the past several years, the Community College Research Center (CCRC) has conducted several research studies on developmental education and has produced reviews synthesizing the results of the authors' own work together with that of colleagues from other research organizations. In a recent issue of the "Journal of Developmental…
Descriptors: Remedial Instruction, Community Colleges, Two Year College Students, Outcomes of Education
Nichols, Sharon L. – National Education Policy Center, 2016
This Center for American Progress report examines whether states' adoption of standards-based policies predicts low-income students' NAEP achievement trends in fourth and eighth grade math and reading throughout the 2003-2013 decade. The report claims to analyze changes across five separate two-year intervals, but it only reports findings for…
Descriptors: School Effectiveness, Disadvantaged Schools, Poverty, Scores
Steinley, Douglas; Brusco, Michael J. – Psychological Methods, 2011
McLachlan (2011) and Vermunt (2011) each provided thoughtful replies to our original article (Steinley & Brusco, 2011). This response serves to incorporate some of their comments while simultaneously clarifying our position. We argue that greater caution against overparamaterization must be taken when assuming that clusters are highly elliptical…
Descriptors: Multivariate Analysis, Research Methodology, Data, Models
Chiarello, Christine; Halderman, Laura; Welcome, Suzanne E.; Leonard, Christiana M. – Brain and Cognition, 2011
In a recent critique Boles and Barth (2011) argue that their prior study investigating asymmetry/performance relationships (Boles, Barth, & Merrill, 2008) uncovered the "true" association (i.e., negative correlation) between lateralization of visual lexical processes and word recognition performance. They contend that our study reporting positive…
Descriptors: Word Recognition, Visual Perception, Language Processing, Reading