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Mogren, Anna; Gericke, Niklas – Environmental Education Research, 2017
Research on Education for Sustainable Development (ESD) implementation tends to focus primarily on student and teacher outcomes, and there have been few studies on leadership practices at the school organisation level that provide information on how quality in education contributes to ESD implementation. To address this issue, we conducted an…
Descriptors: Sustainable Development, Leadership Responsibility, Mixed Methods Research, Secondary Schools
Beach, Kristen D.; O'Connor, Rollanda E. – Journal of Learning Disabilities, 2015
We explored the usefulness of first and second grade reading measures and responsiveness criteria collected within a response-to-intervention (RtI) framework for predicting reading disability (RD) in third grade. We used existing data from 387 linguistically diverse students who had participated in a longitudinal RtI study. Model-based predictors…
Descriptors: Response to Intervention, Reading Difficulties, Predictor Variables, Criteria
Beach, Kristen D.; O'Connor, Rollanda E. – Grantee Submission, 2015
We explored the usefulness of 1st and 2nd grade reading measures and responsiveness criteria collected within a Response-to-Intervention (RtI) framework for predicting Reading Disability (RD) in 3rd grade. We used existing data from 387 linguistically diverse students who had participated in a longitudinal RtI study. Model-based predictors of RD…
Descriptors: Elementary School Students, Emergent Literacy, Reading Fluency, Reading Tests
Levav-Waynberg, Anat; Leikin, Roza – Journal of Mathematical Behavior, 2012
This paper describes changes in students' geometrical knowledge and their creativity associated with implementation of Multiple Solution Tasks (MSTs) in school geometry courses. Three hundred and three students from 14 geometry classes participated in the study, of whom 229 students from 11 classes learned in an experimental environment that…
Descriptors: Experimental Groups, Control Groups, Creativity, Criteria
Hwang, Heungsun; Dillon, William R. – Multivariate Behavioral Research, 2010
A 2-way clustering approach to multiple correspondence analysis is proposed to account for cluster-level heterogeneity of both respondents and variable categories in multivariate categorical data. Specifically, in the proposed method, multiple correspondence analysis is combined with k-means in a unified framework in which "k"-means is…
Descriptors: Data Analysis, Multivariate Analysis, Classification, Monte Carlo Methods
Neumann, Susanne; Koper, Rob – Educational Technology & Society, 2010
Following publications emphasizing the need of a taxonomy for instructional methods, this article presents a literature review on classifications for learning and teaching in order to identify possible classifications for instructional methods. Data was collected for 37 classifications capturing the origins, theoretical underpinnings, purposes and…
Descriptors: Instructional Design, Criteria, Discriminant Analysis, Classification
Corna, Laurie M.; Cairney, John; Streiner, David L. – Gerontologist, 2010
Purpose: To assess the prevalence of suicide ideation among community-dwelling older adults and the relationship between suicide ideation, major psychiatric disorder, and mental health service use. Design and Methods: We use data from the Canadian Community Health Survey 1.2: Mental Health and Well-being (CCHS 1.2). We estimate the prevalence of…
Descriptors: Health Services, Incidence, Mental Disorders, Public Health
Peer reviewedThomas, D. Roland – Journal of Educational and Behavioral Statistics, 1997
Criteria for assessing variable performance in multivariate analysis of variance (MANOVA) are considered, examining criteria suggested by Huberty and Wisenbaker (1992), the contribution to linear discriminant function scores and the contribution to grouping variable effects. It is proposed that the two criteria be amalgamated as the contribution…
Descriptors: Criteria, Evaluation Methods, Multivariate Analysis
Peer reviewedMcDonald, Roderick P.; Mok, Magdalena M.-C. – Multivariate Behavioral Research, 1995
It is shown that goodness-of-fit criteria developed for the evaluation of multivariate structural models can be applied to assist in evaluating the dimensionality of a test consisting of binary items, and correlative methods regularly used in factor analysis can be employed to diagnose causes of misfit. (Author)
Descriptors: Correlation, Criteria, Evaluation Methods, Factor Analysis
Huberty, Carl J.; Smith, Jerry D. – 1980
Linear classification functions (LCFs) arise in a predictive discriminant analysis for the purpose of classifying experimental units into criterion groups. The relative contribution of the response variables to classification accuracy may be based on LCF-variable correlations for each group. It is proved that, if the raw response measures are…
Descriptors: Analysis of Covariance, Classification, Correlation, Criteria
Gabriel, Roy M. – 1979
Although there is a healthy trend toward employment of multivariate statistical methods in the analysis of data from experiments in psychology and education which involve multiple dependent variables, there remains a need to demonstrate the wide variety of data analytic techniques available for post hoc analysis of statistically significant…
Descriptors: Analysis of Variance, Criteria, Data, Data Analysis
Love, Arnold J., Ed. – 1991
The chapters commissioned for this book describe key aspects of evaluation methodology as they are practiced in a Canadian context, providing representative illustrations of recent developments in evaluation methodology as it is currently applied. The following chapters are included: (1) "Program Evaluation with Limited Fiscal and Human…
Descriptors: Consultants, Criteria, Evaluation Methods, Foreign Countries
Peer reviewedMulaik, Stanley A. – Multivariate Behavioral Research, 1993
Issues the author has explored in his work on the philosophy of statistics are reviewed. Indeterminacy, the place of empiricism, questions of causation and causality, and explorations of language have preceded the study of objectivity. The relationship between objectivity and multivariate statistics is examined. (SLD)
Descriptors: Causal Models, Conferences, Criteria, Goodness of Fit

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