NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)5
Since 2006 (last 20 years)7
Audience
Researchers1
Location
Sweden1
Turkey1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Gatzka, Thomas; Hell, Benedikt – Journal of Educational Psychology, 2018
Openness to experience has often been linked to academic achievement because it subsumes traits such as curiosity, open-mindedness, thoughtfulness, and intellectuality. However, recent meta-analyses have reported rather small true correlation estimates. In this article, we first provide a comprehensive rationale for a relationship between openness…
Descriptors: Personality Traits, Academic Achievement, Correlation, Meta Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Roorda, Debora L.; Jak, Suzanne; Zee, Marjolein; Oort, Frans J.; Koomen, Helma M. Y. – School Psychology Review, 2017
The present study took a meta-analytic approach to investigate whether students' engagement acts as a mediator in the association between affective teacher-student relationships and students' achievement. Furthermore, we examined whether results differed for primary and secondary school and whether similar results were found in a longitudinal…
Descriptors: Affective Behavior, Teacher Student Relationship, Longitudinal Studies, Meta Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Green, Teegan – Studies in Higher Education, 2016
Despite increases in the number of articles published in higher education journals using structural equation modelling (SEM), research addressing their statistical sufficiency, methodological appropriateness and quantitative rigour is sparse. In response, this article provides a census of all covariance-based SEM articles published up until 2013…
Descriptors: Higher Education, Educational Research, Structural Equation Models, Sample Size
Peer reviewed Peer reviewed
Direct linkDirect link
Ghosh, Rajashi; Jacobson, Seth – European Journal of Training and Development, 2016
Purpose: The purpose of this paper is to conduct a critical review of the mediation studies published in the field of Human Resource Development (HRD) to discern if the study designs, the nature of data collection and the choice of statistical methods justify the causal claims made in those studies. Design/methodology/approach: This paper conducts…
Descriptors: Attribution Theory, Human Resources, Labor Force Development, Standards
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
Peer reviewed Peer reviewed
Direct linkDirect link
Hallerod, Bjorn; Bask, Miia – Social Indicators Research, 2008
The central aim of the present paper is to analyse the degree to which welfare problems accumulate over time and to what extent such an accumulation is related to class position and household formation. We utilize longitudinal data from the Swedish Survey of Living Conditions, following a panel that was first interviewed in 1979 and, thereafter,…
Descriptors: Structural Equation Models, Disadvantaged Environment, Longitudinal Studies, National Surveys
Newman, Isadore; Fraas, John W.; Newman, Carole – 2002
This paper presents a discussion of various statistical concepts and techniques in light of two propositions. The first is that researchers need to select analytical techniques that prevent them from committing Type VI errors, which are inconsistencies between the research question and the statistical analysis. The second is that many statistical…
Descriptors: Multivariate Analysis, Research Design, Research Methodology, Statistical Analysis
Peer reviewed Peer reviewed
Quintana, Stephen M.; Maxwell, Scott E. – Counseling Psychologist, 1999
Reviews recent developments in structural equation modeling (SEM). Discusses issues critical to designing and evaluating SEM studies and recent technological developments. Examines innovations in applying SEM to different research contexts and designs. Also discusses procedures for redressing common problems and misunderstandings in the…
Descriptors: Counseling, Evaluation, Models, Research
Peer reviewed Peer reviewed
Shedler, Johnathan – Measurement and Evaluation in Counseling and Development, 1995
Discusses linear structural relations, Two Stage Least Squares, and path analysis as statistical procedures that sometimes permit causal inferences from correlational findings. Even though two variables cannot be interpreted causally due to a possible but unknown third variable, these methods are appropriate for handling models with correlated…
Descriptors: Causal Models, Correlation, Higher Education, Path Analysis
Peer reviewed Peer reviewed
Mueller, Ralph O. – Structural Equation Modeling, 1997
Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)
Descriptors: Computer Software, Estimation (Mathematics), Goodness of Fit, Identification