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McBee, Matthew – Gifted Child Quarterly, 2010
In gifted education research, it is common for outcome variables to exhibit strong floor or ceiling effects due to insufficient range of measurement of many instruments when used with gifted populations. Common statistical methods (e.g., analysis of variance, linear regression) produce biased estimates when such effects are present. In practice,…
Descriptors: Structural Elements (Construction), Gifted, Simulation, Regression (Statistics)
Lee, Wang-Sheng; Coelli, Michael – National Centre for Vocational Education Research (NCVER), 2010
This document is an appendix that is meant to accompany the main report, "Analysis of Private Returns to Vocational Education and Training". Included here are the detailed regression results that correspond to Tables 4 to 59 of the main report. This document was produced by the authors based on their research for the main report, and is…
Descriptors: Females, Technical Education, Males, Vocational Education
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Williams, John Delane – Mid-Western Educational Researcher, 1996
Addresses the use of missing cells in longitudinal research. Gives a sample educational situation involving cohorts and grade levels and uses multiple linear regression for the solution. Discusses applications of longitudinal research wherein logically missing cells occur. (Author/SV)
Descriptors: Cohort Analysis, Educational Research, Longitudinal Studies, Models
Muijs, Daniel – SAGE Publications, 2004
This book looks at quantitative research methods in education. The book is structured to start with chapters on conceptual issues and designing quantitative research studies before going on to data analysis. While each chapter can be studied separately, a better understanding will be reached by reading the book sequentially. This book is intended…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Correlation, Educational Research
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Sullins, Walter L. – Contemporary Education, 1983
This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)
Descriptors: Comparative Analysis, Computer Programs, Discriminant Analysis, Educational Research
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Ewert, Alan; Sibthorp, Jim – Journal of Experiential Education, 2000
Multivariate analytic techniques offer useful research methods that permit the experiential educator to test theoretical models, analyze the effects of several variables acting together, and predict the effects of one set of variables upon another set of variables. Several of these techniques are discussed, including analysis of variance, multiple…
Descriptors: Adventure Education, Analysis of Covariance, Analysis of Variance, Educational Research
Hays, William L. – 1982
To develop a feasible research method to determine factors in student teaching that make it succeed or fail as valuable clinical training, several evaluative questions and characteristics should be examined. A major research question would examine the factors in student teaching that make it a professionally satisfying or dissatisfying experience…
Descriptors: College School Cooperation, Educational Research, Higher Education, Multiple Regression Analysis
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Sharp, Stephen – Educational Studies, 1996
Summarizes an experiment that expanded the types of variables and approaches used in statistical analyses of subject attainment in secondary education. The experiment compared students' grades in a given subject with their expected grades based on performance in other subjects. Considers applications and limitations to this approach. (MJP)
Descriptors: Academic Achievement, Courses, Educational Administration, Educational Research