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Golden, Thomas Courtenay – ProQuest LLC, 2009
The college choice requires the adolescent to gather and synthesize vast amounts of information, reconcile sometimes competing personal and familial goals, and manage a range of emotions. This decision process represents a major developmental crisis with which the adolescent must cope. Scholars have noted that psychological strain and heightened…
Descriptors: Extraversion Introversion, College Choice, Prediction, Personality
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Daly, Laura A.; Perez, Linda M. – Early Childhood Research & Practice, 2009
This article examines the play behavior of 70 preschool children and its relationship to television violence and regulatory status. Linear regression analysis showed that violent program content and poor self-regulation were independently and significantly associated with overall and physical aggression. Advanced maternal age and child age and…
Descriptors: Play, Prosocial Behavior, Violence, Aggression
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Daly, Alan J. – Educational Administration Quarterly, 2009
Purpose: The No Child Left Behind Act laudably brings social justice and equity issues to the forefront; however, the act's threat- and sanction-driven methods are not only increasing stress levels but potentially causing a rigid response, especially in the growing population of schools labeled "program improvement" (PI). Specifically,…
Descriptors: Social Justice, Sanctions, Trust (Psychology), Federal Legislation
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Gudjonsson, Gisli H.; Sigurdsson, Jon Fridrik; Eyjolfsdottir, Gudrun Agusta; Smari, Jakob; Young, Susan – Journal of Attention Disorders, 2009
Objective: To ascertain whether ADHD symptoms, and associated problems, are negatively related to subjective well-being. Method: The Satisfaction With Life Scale (SWLS) was completed by 369 university students, along with the Reasoning & Rehabilitation (R&R) ADHD Training Evaluation (RATE), the "Diagnostic and Statistical Manual of…
Descriptors: Life Satisfaction, Females, Mental Disorders, Attention Deficit Hyperactivity Disorder
Rowell, R. Kevin – 1991
In multiple regression analysis, where resulting predictive equation effectiveness is subject to shrinkage, it is especially important to evaluate result replicability. Double cross-validation is an empirical method by which an estimate of invariance or stability can be obtained from research data. A procedure for double cross-validation is…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Heuristics, Mathematical Models
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McNeil, Keith – Journal of Experimental Education, 1974
Multiple linear regression has been shown to be applicable for analysis of variance hypotheses, for scaling purposes, and for analysis of single organism data. The present paper shows the application to chi square. (Author)
Descriptors: Educational Research, Multiple Regression Analysis, Probability, Statistical Data
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Kaufman, David; Sweet, Robert – American Educational Research Journal, 1974
The use of multiple regression as a data-analytic tool is examined for the cases of balanced and unbalanced designs. The utility of this method for testing specific contrasts, both orthogonal and nonorthogonal is discussed and some interpretive cautions are examined. (Author)
Descriptors: Analysis of Variance, Codification, Matrices, Multiple Regression Analysis
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Lamdan, Shirley; Lorr, Maurice – Journal of Clinical Psychology, 1975
The purpose of this study is the empirical investigation of the variables embodied in Christie's measure of Machiavellianism. (Author)
Descriptors: Correlation, Multiple Regression Analysis, Psychological Characteristics, Psychological Studies
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Woodward, J. Arthur; Overall, John E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Multiple Regression Analysis, Statistical Significance
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Cramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Statistical Analysis
Fortney, William G.; Miller, Robert B. – 1980
Bayesian analysis of an m-group model is considered. A convenient stage III prior is proposed, and cases when the posterior distributions take on a simple form are exhibited. The behavior of various point estimators of the linear parameters of the model are explored in a Monte Carlo study. In the simple model considered, the O'Hagan estimator…
Descriptors: Bayesian Statistics, Least Squares Statistics, Mathematical Models, Multiple Regression Analysis
Spaner, Steven D. – 1976
The inferences allowable with a significant F in regression analysis are discussed. Included in this discussion are the effects of specificity of the research hypothesis, incorporation of covariates, directional hypotheses, and the manipulation of variables on the interpretation of significance for such purposes as causal and directional…
Descriptors: Analysis of Variance, Hypothesis Testing, Multiple Regression Analysis, Statistical Significance
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Tzelgov, Joseph; Stern, Iris – Educational and Psychological Measurement, 1978
Following Conger's revised definition of suppressor variables, the universe relationships among two predictors and a criterion is analyzed. A simple mapping of relationships, based on the correlation between two predictors and the ratio of their validities, is provided. The relation between suppressor and part correlation is also discussed.…
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Predictor Variables
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Morse, P. Kenneth – Multiple Linear Regression Viewpoints, 1978
The use of multiple regression analysis to detect sex-related salary discrimination is investigated via a simulation study. (JKS)
Descriptors: Multiple Regression Analysis, Salary Wage Differentials, Sex Discrimination, Teacher Salaries
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Hettmansperger, Thomas P. – Psychometrika, 1978
A unified approach, based on ranks, to the statistical analysis of data arising from complex experimental designs is presented. The rank methods closely parallel the familiar methods of least squares, so that the estimates and tests have natural interpretations. (Author/JKS)
Descriptors: Analysis of Covariance, Multiple Regression Analysis, Nonparametric Statistics, Statistical Analysis
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