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Suping Yi; Rustam Shadiev; Yanyan Zhang – Interactive Learning Environments, 2024
This study reviewed thirty-seven articles on intercultural learning supported by technology. The results are reported in terms of strength of evidence and relationship among research variables. The results indicated the following strength of evidence: (1) moderate evidence showed higher frequency of the technology usage in higher education or…
Descriptors: Literature Reviews, Multicultural Education, Technology Uses in Education, Predictor Variables
McGill, Ryan J.; Dombrowski, Stefan C. – Communique, 2017
Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…
Descriptors: Factor Analysis, School Psychology, Psychometrics, Predictor Variables
Peralta, Yadira; Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Moore, Tamara J. – Educational Research Quarterly, 2018
Variance heterogeneity is a common feature of educational data when treatment differences expressed through means are present, and often reflects a treatment by subject interaction with respect to an outcome variable. Identifying variables that account for this interaction can enhance understanding of whom a treatment does and does not benefit in…
Descriptors: Educational Research, Hierarchical Linear Modeling, Engineering, Design
Widaman, Keith F. – Measurement: Interdisciplinary Research and Perspectives, 2014
Latent variable structural equation modeling has become the analytic method of choice in many domains of research in psychology and allied social sciences. One important aspect of a latent variable model concerns the relations hypothesized to hold between latent variables and their indicators. The most common specification of structural equation…
Descriptors: Structural Equation Models, Predictor Variables, Educational Research, Causal Models
Beyond Multiple Regression: Using Commonality Analysis to Better Understand R[superscript 2] Results
Warne, Russell T. – Gifted Child Quarterly, 2011
Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated…
Descriptors: Educational Research, Gifted, Predictor Variables, Regression (Statistics)
Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)
Goldstein, Howard; Lackey, Kimberly C.; Schneider, Naomi J. B. – Exceptional Children, 2014
This review presents a novel framework for evaluating evidence based on a set of parallel criteria that can be applied to both group and single-subject experimental design (SSED) studies. The authors illustrate use of this evaluation system in a systematic review of 67 articles investigating social skills interventions for preschoolers with autism…
Descriptors: Preschool Education, Preschool Children, Intervention, Autism
Howe, Christine; Abedin, Manzoorul – Cambridge Journal of Education, 2013
Recognizing that empirical research into classroom dialogue has been conducted for about 40?years, a review is reported of 225 studies published between 1972 and 2011. The studies were identified through systematic search of electronic databases and scrutiny of publication reference lists. They focus on classroom dialogue in primary and secondary…
Descriptors: Classroom Communication, Literature Reviews, Reference Materials, Elementary Secondary Education
Mihaly, Kata; McCaffery, Daniel; Sass, Tim R.; Lockwood, J. R. – National Center for Analysis of Longitudinal Data in Education Research, 2012
In this paper we consider the challenges involved in evaluating teacher preparation programs when controlling for school contextual bias. Including school fixed effects in the achievement models used to estimate preparation program effects controls for school environment by relying on differences among student outcomes within the same schools to…
Descriptors: Teacher Certification, Educational Environment, Preservice Teacher Education, Educational Quality
Taht, Karin; Must, Olev – Educational Research and Evaluation, 2013
We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…
Descriptors: Academic Achievement, Factor Analysis, Factor Structure, Educational Attitudes
Aloe, Ariel M.; Becker, Betsy Jane – Educational Researcher, 2009
Many have claimed that teachers' verbal ability is among the most important predictors of school outcomes. Teachers' verbal ability has been thought to predict student achievement ever since the relationship was found in the classic "Equality of Educational Opportunity" (EEO) study by Coleman et al. By way of meta-analysis the authors examine the…
Descriptors: Verbal Ability, Educational Opportunities, Educational Research, Evaluation Methods
Ludtke, Oliver; Robitzsch, Alexander; Trautwein, Ulrich; Kunter, Mareike – Contemporary Educational Psychology, 2009
In educational research, characteristics of the learning environment (e.g., social climate, instructional quality, goal orientation) are often assessed via student reports, and their associations with outcome variables such as school achievement or student motivation then tested. However, studying the effects of the learning environment presents a…
Descriptors: Educational Research, Academic Achievement, Predictor Variables, Goal Orientation
King, Jean A. – New Directions for Evaluation, 2007
This article discusses how to make process use an independent variable in evaluation practice: the purposeful means of building an organization's capacity to conduct and use evaluations in the long run. The goal of evaluation capacity building (ECB) is to strengthen and sustain effective program evaluation practices through a number of activities:…
Descriptors: Evaluators, Program Evaluation, Predictor Variables, Evaluation Methods
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Macgregor, George; Turner, James – Interactive Technology and Smart Education, 2009
Purpose: The use of e-learning is largely predicated upon the assumption that it can facilitate improvements in student learning and therefore can be more effective than conventional techniques. This assumption has been supported by some in the literature but has been questioned by a continuing body of contrary or indifferent evidence. The purpose…
Descriptors: Electronic Learning, Educational Research, Program Effectiveness, Research Problems