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Showing 61 to 75 of 250 results Save | Export
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Korendijk, Elly J. H.; Moerbeek, Mirjam; Maas, Cora J. M. – Journal of Educational and Behavioral Statistics, 2010
In the case of trials with nested data, the optimal allocation of units depends on the budget, the costs, and the intracluster correlation coefficient. In general, the intracluster correlation coefficient is unknown in advance and an initial guess has to be made based on published values or subject matter knowledge. This initial estimate is likely…
Descriptors: Correlation, Data, Sample Size, Multivariate Analysis
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Brody, Stuart; Carson, Carron Maryjane – Journal of Adolescence, 2012
It has been unclear whether adolescent deliberate self-harm (DSH) is more associated with substance use or with characterological impairments. Multivariate determination of (N = 114 Scottish adolescents) ever engaging in DSH (Youth Risk Behavior Survey) from alcohol use, other substance use, and immature defense mechanism use (Defense Style…
Descriptors: Risk, Drinking, Defense Mechanisms, Self Destructive Behavior
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Raykov, Tenko; Marcoulides, George A. – Journal of Educational and Behavioral Statistics, 2010
A latent variable modeling method is outlined for constructing a confidence interval (CI) of a popular multivariate effect size measure. The procedure uses the conventional multivariate analysis of variance (MANOVA) setup and is applicable with large samples. The approach provides a population range of plausible values for the proportion of…
Descriptors: Multivariate Analysis, Effect Size, Computation, Statistical Analysis
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Hom, Willard C. – Journal of Applied Research in the Community College, 2010
Analysts of institutional performance have occasionally used a peer grouping approach in which they compared institutions only to other institutions with similar characteristics. Because analysts historically have used cluster analysis to define peer groups (i.e., the group of comparable institutions), the author proposes and demonstrates with…
Descriptors: Multivariate Analysis, Robustness (Statistics), Classification, Comparative Analysis
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Rupp, André A.; Nugent, Rebecca; Nelson, Brian – Journal of Educational Data Mining, 2012
In recent years the educational community has increasingly embraced digital technologies for the purposes of developing alternative learning environments, providing diagnostic feedback, and fostering the development of so-called 21st-century skills. This special issue is dedicated to bridging recent work from the disciplines of educational and…
Descriptors: Electronic Learning, Psychometrics, Educational Environment, Educational Technology
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Powers, Daniel A. – New Directions for Institutional Research, 2012
The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…
Descriptors: Institutional Research, Educational Research, Data Analysis, Research Methodology
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Quinn, Andrew; Fitch, Dale; Youn, Eric – Journal of Social Work Education, 2011
This article presents the idea that distance delivery in social work education is seen as an interaction between four constructs: the student, the setting in which the education is delivered, the educational content, and the expected educational outcomes. To fully understand these interactions, clear operational indicators, well established in…
Descriptors: Educational Research, Distance Education, Educational Objectives, Outcomes of Education
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Lee, Hyeon Woo – Turkish Online Journal of Educational Technology - TOJET, 2011
As the technology-enriched learning environments and theoretical constructs involved in instructional design become more sophisticated and complex, a need arises for equally sophisticated analytic methods to research these environments, theories, and models. Thus, this paper illustrates a comprehensive approach for analyzing data arising from…
Descriptors: Structural Equation Models, Educational Technology, Educational Research, Multivariate Analysis
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Pezzolo, Alessandra De Lorenzi – Journal of Chemical Education, 2011
The diffuse reflectance infrared Fourier transform (DRIFT) spectra of sand samples exhibit features reflecting their composition. Basic multivariate analysis (MVA) can be used to effectively sort subsets of homogeneous specimens collected from nearby locations, as well as pointing out similarities in composition among sands of different origins.…
Descriptors: Graduate Students, Undergraduate Students, Spectroscopy, Multivariate Analysis
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Brusco, Michael; Steinley, Douglas – Psychological Methods, 2010
Structural balance theory (SBT) has maintained a venerable status in the psychological literature for more than 5 decades. One important problem pertaining to SBT is the approximation of structural or generalized balance via the partitioning of the vertices of a signed graph into "K" clusters. This "K"-balance partitioning problem also has more…
Descriptors: Psychology, Mathematical Models, Stimuli, Measurement Techniques
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Kohn, Hans-Friedrich; Steinley, Douglas; Brusco, Michael J. – Psychological Methods, 2010
The "p"-median clustering model represents a combinatorial approach to partition data sets into disjoint, nonhierarchical groups. Object classes are constructed around "exemplars", that is, manifest objects in the data set, with the remaining instances assigned to their closest cluster centers. Effective, state-of-the-art implementations of…
Descriptors: Computer Software, Psychological Studies, Data Analysis, Research Methodology
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McCoach, D. Betsy; Adelson, Jill L. – Gifted Child Quarterly, 2010
This article provides a conceptual introduction to the issues surrounding the analysis of clustered (nested) data. We define the intraclass correlation coefficient (ICC) and the design effect, and we explain their effect on the standard error. When the ICC is greater than 0, then the design effect is greater than 1. In such a scenario, the…
Descriptors: Statistical Significance, Error of Measurement, Correlation, Data Analysis
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Raz, Naftali; Lindenberger, Ulman – Psychological Bulletin, 2011
Salthouse (2011) critically reviewed cross-sectional and longitudinal relations among adult age, brain structure, and cognition (ABC) and identified problems in interpretation of the extant literature. His review, however, missed several important points. First, there is enough disparity among the measures of brain structure and cognitive…
Descriptors: Age Differences, Brain, Case Studies, Longitudinal Studies
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Brown, Jason D.; St. Arnault, David; Sintzel, Jennifer; George, Natalie – Journal of Family Social Work, 2011
Foster parents licensed in a central Canadian province were contacted by telephone and invited to participate in a survey that included the question "What are the challenges of fostering a child with the same values, beliefs, and traditions as you?" Participants sorted all responses to the question into concepts that were analyzed using…
Descriptors: Caring, Concept Mapping, Multidimensional Scaling, Multivariate Analysis
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Pell, Tony; Hargreaves, Linda – Cambridge Journal of Education, 2011
Cluster analysis has been applied to quantitative data in educational research over several decades and has been a feature of the Maurice Galton's research in primary and secondary classrooms. It has offered potentially useful insights for teaching yet its implications for practice are rarely implemented. It has been subject also to negative…
Descriptors: Educational Research, Multivariate Analysis, Teaching Methods, Research Methodology
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