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Direct linkTheobald, Elli – CBE - Life Sciences Education, 2018
Discipline-based education researchers have a natural laboratory--classrooms, programs, colleges, and universities. Studies that administer treatments to multiple sections, in multiple years, or at multiple institutions are particularly compelling for two reasons: first, the sample sizes increase, and second, the implementation of the treatments…
Descriptors: Educational Research, Hierarchical Linear Modeling, Program Implementation, Predictor Variables
Jabnoun, Naceur – Quality Assurance in Education: An International Perspective, 2015
Purpose: This paper aims to explore the influence of wealth, transparency and democracy on the number of universities per million people ranked among the top 300 and 500. The highly ranked universities in the world tend to be concentrated in a few countries. Design/Methodology/Approach: ANOVA was used to test the differences between the two groups…
Descriptors: Universities, Classification, Influences, Fiscal Capacity
Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
Van den Berghe, Lynn; Cardon, Greet; Aelterman, Nathalie; Tallir, Isabel Barbara; Vansteenkiste, Maarten; Haerens, Leen – Journal of Teaching in Physical Education, 2013
Burnout in teachers is related to different maladaptive outcomes. This study aimed at exploring the relationship between emotional exhaustion and motivation to teach in 93 physical education teachers. Results showed that teachers report more emotional exhaustion when they are less autonomously motivated, while the opposite relationship was found…
Descriptors: Foreign Countries, Physical Education, Physical Education Teachers, Teacher Motivation
De Luca, Barbara M.; Hinshaw, Steven A. – Educational Considerations, 2013
The purpose of this research was to investigate the role of school district expenditures in predicting student achievement in Ohio for the school year 2009-2010. Building upon the concept of the "65 percent solution," the research questions that guided this study were: (1) What percentage of Ohio's school district's operating budgets…
Descriptors: Academic Achievement, Predictor Variables, Predictive Validity, Expenditures
Hendrix, Dean – College & Research Libraries, 2010
This study analyzed 2005-2006 Web of Science bibliometric data from institutions belonging to the Association of Research Libraries (ARL) and corresponding ARL statistics to find any associations between indicators from the two data sets. Principal components analysis on 36 variables from 103 universities revealed obvious associations between…
Descriptors: Bibliometrics, Correlation, Research Libraries, Library Associations
Olofsson, Anna; Ohman, Susanna – Environment and Behavior, 2006
The aim of the study was to empirically test whether grouping people according to their general beliefs, combined with positional factors, can explain environmental concern, and whether there are country differences in this respect. The study is based on the United States, Canadian, Norwegian, and Swedish parts of The International Social Survey…
Descriptors: Foreign Countries, Cross Cultural Studies, Environment, Social Attitudes
Peer reviewedOwens, William A. – Personnel Psychology, 1978
The author suggests that it is more efficient to cluster subjects on the basis of their profiles across several dimensions of significance and to seek "between" subgroup correlates, than to search for a moderator variable "within" levels of which criterion relationships may vary in nonrandom fashion. (Author/RK)
Descriptors: Cluster Analysis, Cluster Grouping, Correlation, Predictive Measurement
Gierl, Mark J.; Leighton, Jacqueline P.; Tan, Xuan – Journal of Educational Measurement, 2006
DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…
Descriptors: Program Evaluation, Cluster Grouping, Evaluation Methods, Multivariate Analysis
