NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)2
Since 2006 (last 20 years)6
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing all 12 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Yiqiong; Chen, Peter Y.; Chen, Fu-Li; Wu, Wen-Chi – School Psychology International, 2015
This article examines how past bullied victims engage two types of bystander behaviors (defender and outsider) when they witness bullying situations.We also investigate if fatalism mediates the relationship between past victimization and two bystander behaviors. Finally, we test if parental support moderates the relationship between fatalism and…
Descriptors: Role, Victims, Bullying, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Hameiri, Lior; Nir, Adam – International Journal of Educational Management, 2016
Purpose: Public schools operate in a changing and dynamic environment evident in technological innovations, increased social heterogeneity and competition, all contributing to school leaders' uncertainty. Such changes inevitably influence schools' inner dynamic and may therefore undermine schools' organizational health. School leaders have a…
Descriptors: Principals, Transformational Leadership, Leadership Styles, Public Schools
Peer reviewed Peer reviewed
Direct linkDirect link
DiStefano, Christine; Zhu, Min; Mindrila, Diana – Practical Assessment, Research & Evaluation, 2009
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and…
Descriptors: Factor Structure, Factor Analysis, Researchers, Scores
Schochet, Peter Z. – Mathematica Policy Research, Inc., 2008
Studies that examine the impacts of education interventions on key student, teacher, and school outcomes typically collect data on large samples and on many outcomes. In analyzing these data, researchers typically conduct multiple hypothesis tests to address key impact evaluation questions. Tests are conducted to assess intervention effects for…
Descriptors: Hypothesis Testing, Guidelines, Outcomes of Education, Evaluation Methods
Peer reviewed Peer reviewed
Lutz, Gary J. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Discriminant Analysis, Educational Research, Factor Analysis
Lohnes, Paul R.; Pai, Lu – 1982
As useful as LISREL may be in model estimation and testing, its most significant contribution to date is the encouragement and example it gives for right thinking about research and right planning of research. The encouragement to hypothesize the best possible model for the process that is the object of study, and to plan measurements that…
Descriptors: Computer Programs, Educational Research, Factor Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
Cunningham, William H.; And Others – Journal of Experimental Education, 1976
This research was designed to measure how students enrolled in introductory marketing courses perceived mass section multimedia lecture classes in comparison with other commonly utilized teaching formats. (Author/RK)
Descriptors: Educational Research, Factor Analysis, Hypothesis Testing, Marketing
Peer reviewed Peer reviewed
Keith, Timothy Z. – School Psychology Review, 1987
This article highlights three common problems with assessment research, including the following needs: (1) to adopt a hypothesis testing approach; (2) for research to be guided by available formal and informal theory, and (3) for research to be consistent with general school psychological practice. New research methodologies and new research…
Descriptors: Educational Assessment, Educational Psychology, Educational Research, Elementary Secondary Education
Cason, Carolyn L.; And Others – 1972
Studies were made between performance on tests of mental abilities and concept learning tasks; it is pointed out that the researcher is usually confronted with administering large batteries of tests of mental abilities and then analyzing his results with one of the factor analytic techniques. An information process analysis of tests of mental…
Descriptors: Analysis of Variance, Cognitive Processes, College Students, Concept Formation
Penfield, Douglas A. – 1972
Thirty-four papers on educational statistics which were presented at the 1971 AERA Conference are summarized. Six major interest areas are covered: (a) general information; (b) non-parametric methods; (c) errors of measurement and correlation techniques; (d) regression theory; (e) univariate and multivariate analysis; (f) factor analysis. (MS)
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Science Research, Computers
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection