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Seo, Eunjin; Lee, You-kyung – Educational Psychology, 2018
We examine the intrinsic value students placed on schoolwork (i.e. academic intrinsic value) and social relationships (i.e. social intrinsic value). We then look at how these values predict middle and high school achievement. To do this, we came up with four profiles based on cluster analyses of 6,562 South Korean middle school students. The four…
Descriptors: Friendship, Academic Achievement, Educational Benefits, Barriers
Troncoso, Patricio; Pampaka, Maria; Olsen, Wendy – School Effectiveness and School Improvement, 2016
School value-added studies have largely demonstrated the effects of socioeconomic and demographic characteristics of the schools and the pupils on performance in standardised tests. Traditionally, these studies have assessed the variation coming only from the schools and the pupils. However, recent studies have shown that the analysis of academic…
Descriptors: Foreign Countries, Value Added Models, Hierarchical Linear Modeling, Multivariate Analysis
Elementary Student Perceptions of School Climate and Associations with Individual and School Factors
La Salle, Tamika P.; Zabek, Faith; Meyers, Joel – School Psychology Forum, 2016
School climate has increasingly been recognized as an essential component of school improvement owing to the established associations between a positive school climate and academic outcomes for students. Our study examines associations among a brief measure of school climate assessing elementary student perceptions and the College and Career Ready…
Descriptors: Educational Environment, College Readiness, Career Readiness, Correlation
Hedges, Larry V.; Hedberg, Eric C. – Grantee Submission, 2013
Background: Cluster randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…
Descriptors: Correlation, Multivariate Analysis, Educational Experiments, Academic Achievement
Pentimonti, Jill M.; Justice, Laura M.; Kaderavek, Joan N. – International Journal of Language & Communication Disorders, 2014
Background: This study represents an effort to advance our understanding of the nature of school readiness among children with language impairment (LI), a population of children acknowledged to be at risk of poor academic achievement. The academic, social-emotional, and behavioural competencies with which children arrive at kindergarten affect the…
Descriptors: School Readiness, Children, Language Impairments, At Risk Students
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
Ladd, Gary W.; Kochenderfer-Ladd, Becky; Visconti, Kari Jeanne; Ettekal, Idean; Sechler, Casey M.; Cortes, Khaerannisa I. – American Educational Research Journal, 2014
Little is known about the skills children need to successfully collaborate with classmates on academic assignments. The purposes of this study were to identify grade-schoolers' collaborative skills, evaluate the importance of identified skills for collaborative work, and determine whether differences in skill use were related to children's social…
Descriptors: Interpersonal Competence, Cooperation, Elementary School Students, Academic Ability
McArdle, John J.; Paskus, Thomas S.; Boker, Steven M. – Multivariate Behavioral Research, 2013
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, College Athletics
Potter, James Thomson, III – ProQuest LLC, 2012
Research into teaching practices and strategies has been performed separately in AP Statistics and in K-12 online learning (Garfield, 2002; Ferdig, DiPietro, Black & Dawson, 2009). This study seeks combine the two and build on the need for more investigation into online teaching and learning in specific content (Ferdig et al, 2009; DiPietro,…
Descriptors: Advanced Placement, Online Courses, High School Students, Statistics
Strand, Steve – Review of Education, 2016
Relatively little research has explored whether schools differ in their effectiveness for different group of pupils (e.g. by ethnicity, poverty or gender), for different curriculum subjects (e.g. English, mathematics or science) or over time (different cohorts). This paper uses multilevel modelling to analyse the national test results at age 7 and…
Descriptors: School Effectiveness, Hierarchical Linear Modeling, Children, Elementary School Students