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Polanin, Joshua R.; Wilson, Sandra Jo – Society for Research on Educational Effectiveness, 2014
The purpose of this project is to demonstrate the practical methods developed to utilize a dataset consisting of both multivariate and multilevel effect size data. The context for this project is a large-scale meta-analytic review of the predictors of academic achievement. This project is guided by three primary research questions: (1) How do we…
Descriptors: Meta Analysis, Correlation, Case Studies, Parent Participation
Kok, Herman; Mobach, Mark; Omta, Onno – Management in Education, 2015
The article aims to find predictors of study success from a teacher's perspective that relate to the built environment. The research is based on a national online survey among 1752 teachers at 18 Dutch Universities of Applied Sciences. Multivariate data analyses were used to test the hypothesis that the quality of spatial and functional aspects at…
Descriptors: Teacher Attitudes, Predictor Variables, Success, Academic Achievement
Strand, Steve – Oxford Review of Education, 2014
There are long-standing achievement gaps in England associated with socio-economic status (SES), ethnicity and gender, but relatively little research has evaluated interactions between these variables or explored school effects on such gaps. This paper analyses the national test results at age 7 and age 11 of 2,836 pupils attending 68 mainstream…
Descriptors: Socioeconomic Influences, Gender Differences, Ethnicity, Achievement Gap
Paiva, Andrea L.; Amoyal, Nicole R.; Johnson, Janet L.; Prochaska, James O. – Journal of Early Adolescence, 2014
Using cluster analysis, 717 students who reported that they had never smoked and the nondrinking 292 students who reported that they had never drank alcohol were classified into four profile groups based on their Pros and Cons of not using and temptation to use. Profiles were labeled Most Protected, Least Positive, Most Negative, and Most Tempted.…
Descriptors: Early Adolescents, Substance Abuse, Smoking, Drinking
Denton, Carolyn A.; Tolar, Tammy D.; Fletcher, Jack M.; Barth, Amy E.; Vaughn, Sharon; Francis, David J. – Journal of Educational Psychology, 2013
This article describes a randomized controlled trial conducted to evaluate the effects of an intensive, individualized, Tier 3 reading intervention for second grade students who had previously experienced inadequate response to quality first grade classroom reading instruction (Tier 1) and supplemental small-group intervention (Tier 2). Also…
Descriptors: Reading Difficulties, Intervention, Student Characteristics, Grade 2
Carson, Craig L. – ProQuest LLC, 2013
The purpose of this descriptive study was to describe Missouri middle-level school principals' perceptions of their instructional leadership practices. The Principal Instructional Management Rating Scale (PIMRS) by Philip Hallinger was used to define the measured leadership tasks (www.philiphallinger.com). There were a total of 77 middle-level…
Descriptors: Instructional Leadership, Principals, Academic Achievement, Rating Scales
Çelik, Serkan; Atak, Hasan; Erguzen, Atilla – Eurasian Journal of Educational Research, 2012
Problem Statement: Cyberbullying is associated with significant psychological issues among young people such as depression, emotional distress, low self-esteem, and poor academic achievement. It is also regarded as an increasingly emergent problem in educational settings, putting learners' psychological health, safety, and well-being at risk.…
Descriptors: Foreign Countries, College Students, Bullying, Computer Mediated Communication
Yetkiner, Zeynep Ebrar – Middle Grades Research Journal, 2009
Commonality analysis is a method of partitioning variance to determine the predictive ability unique to each predictor (or predictor set) and common to two or more of the predictors (or predictor sets). The purposes of the present paper are to (a) explain commonality analysis in a multiple regression context as an alternative for middle grades…
Descriptors: Multivariate Analysis, Correlation, Regression (Statistics), Prediction
Kittle, Kris J. – ProQuest LLC, 2010
Service-learning continues to gain in popularity across the higher education landscape and can be found in most educational institutions. Although more often found in student affairs programming, it is also viewed as a viable pedagogy. Most studies show that service-learning impacts students in various ways: academically, socially and…
Descriptors: Undergraduate Students, Higher Education, Social Integration, Multivariate Analysis
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Ruback, R. Barry; Shaffer, Jennifer N.; Logue, Melissa A. – Crime & Delinquency, 2004
This study examined court records, probation records, and collection office records in four counties in Pennsylvania, which were chosen because they varied along two dimensions: (a) population size and (b) the use of specialized units for the collection of monetary sanctions. From each county, restitution-eligible cases were sampled from both 1994…
Descriptors: Sanctions, Policy Analysis, Effect Size, Fees
Truell, Allen D.; Zhao, Jensen J.; Alexander, Melody W. – Journal of Career and Technical Education, 2005
The purposes of this study were to determine if there is a significant difference in postsecondary business student scores and test completion time based on settable test item exposure control interface format, and to determine if there is a significant difference in student scores and test completion time based on settable test item exposure…
Descriptors: College Students, Scores, Tests, Gender Differences