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Lee, Wan-Fung; Bulcock, Jeffrey Wilson – 1979
The purposes of this study are: (1) to demonstrate the superiority of simple ridge regression over ordinary least squares regression through theoretical argument and empirical example; (2) to modify ridge regression through use of the variance normalization criterion; and (3) to demonstrate the superiority of simple ridge regression based on the…
Descriptors: Longitudinal Studies, Multivariate Analysis, Path Analysis, Predictor Variables
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Curtis, Ervin W. – Educational and Psychological Measurement, 1985
A new approach to partialling components is used. Like conventional partialling, this approach orthogonalizes variables by partitioning the scores or observations. Unlike conventional partialling, it yields a common component and two unique components. (Author/GDC)
Descriptors: Correlation, Multivariate Analysis, Orthogonal Rotation, Predictive Validity
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Berry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1992
A generalized measure of association and an associated test of significance are presented for nominal independent variables in which any number or combination of interval, ordinal, or nominal dependent variables can be analyzed. A permutation test of significance is provided for the new measure. (SLD)
Descriptors: Correlation, Equations (Mathematics), Mathematical Models, Multivariate Analysis
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Fisicaro, Sebastiano A.; Tisak, John – Educational and Psychological Measurement, 1994
Examination of the stochastics of moderated multiple regression (MMR) reveals that MMR is an appropriate technique when predictors are fixed variables and the distribution of errors is normal but is not appropriate when predictors are random variables and the joint distribution of criterion and predictor variables is multivariate normal. (SLD)
Descriptors: Error Patterns, Multivariate Analysis, Predictor Variables, Statistical Distributions
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Takane, Yoshio; Hwang, Heungsun – Psychometrika, 2005
Lazraq and Cleroux (Psychometrika, 2002, 411-419) proposed a test for identifying the number of significant components in redundancy analysis. This test, however, is ill-conceived. A major problem is that it regards each redundancy component as if it were a single observed predictor variable, which cannot be justified except for the rare…
Descriptors: Redundancy, Monte Carlo Methods, Predictor Variables, Psychometrics
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Bates, Elizabeth; Saygin, Ayse Pinar; Moineau, Suzanne; Marangolo, Paola; Pizzamiglio, Luigi – Brain and Language, 2005
The utility of single-case vs. group studies has been debated in neuropsychology for many years. The purpose of the present study is to illustrate an alternative approach to group studies of aphasia, in which the same symptom dimensions that are commonly used to assign patients to classical taxonomies (fluency, naming, repetition, and…
Descriptors: Aphasia, Groups, Patients, Multivariate Analysis
Fulton, Theodore T. – ProQuest LLC, 2009
The purpose of this study was to investigate teacher perceptions of the ten specific principal instructional leadership behaviors of Hallinger's Principal Instructional Management Rating Scale as they relate to school need, school achievement, years of experience as a teacher, and years working with the current principal. This quantitative…
Descriptors: Incentives, Low Achievement, Teacher Surveys, Rating Scales
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Palsdottir, Agusta – Information Research: An International Electronic Journal, 2008
Introduction: The aim of this study is to gather knowledge about how different groups of Icelanders take advantage of information about health and lifestyle in their everyday life. Method: A random sample of 1,000 people was used in the study and data was gathered as a postal survey. Response rate was 50.8%. Analysis: K-means cluster analysis was…
Descriptors: Self Efficacy, Multivariate Analysis, Information Seeking, Health Behavior
Thompson, Bruce – 1982
Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis, which is a useful research methodology particularly when augmented by the calculation of canonical structure, index, and invariance coefficients. A logic for conducting stepwise canonical correlation analysis based upon evaluation…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Thompson, Bruce; Miller, James H. – 1985
Methods of regression commonality analysis are generalized for use in canonical correlation analysis. An actual data set (involving educators' attitudes toward death and age, locus of control, religion, and occupational role in working with terminally ill children) is employed to illustrate the extension. The method can be applied with respect to…
Descriptors: Correlation, Elementary Secondary Education, Multivariate Analysis, Predictor Variables
Dawson, Beth K. – 1978
A Monte Carlo study was conducted to discover the amount of bias to be expected in canonical correlations and in the canonical redundancy statistic. Six hundred random sample replications of 72 conditions were performed and the mean sample values compared with population values. Conditions were varied with respect to the number of predictor…
Descriptors: Correlation, Evaluation Criteria, Multiple Regression Analysis, Multivariate Analysis
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Betz, Nancy E. – Journal of Counseling Psychology, 1987
Describes the method of discriminant analysis, including the concept of discriminant function, discriminant score, group centroid, and discriminant weights and loadings. Discusses methods for testing the statistical significance of a function, methods of using the function in classification, and the concept of rotating functions. Illustrates the…
Descriptors: Behavioral Science Research, Discriminant Analysis, Multivariate Analysis, Prediction
Courtney, Mark E.; Piliavin, Irving; Power, Peter – 2001
This exploratory study examined the level of involvement of Temporary Assistance for Needy Families (TANF) applicants in Milwaukee County, Wisconsin with the child welfare system both before and after their application for TANF assistance and inclusion in the study. The study found a high level of involvement of TANF applicants with child…
Descriptors: Child Welfare, Multivariate Analysis, Predictor Variables, Welfare Recipients
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Shah, Ameet Arvind; Bazargan-Hejazi, Shahrzad; Lindstrom, Richard W.; Wolf, Kenneth E. – Substance Abuse, 2009
As limited research exists on medical students' substance use patterns, including over-consumption of alcohol, the objective of this study was to determine prevalence and correlates of at-risk drinking among a national sample of medical students, using a cross-sectional, anonymous, Web-based survey. A total of 2710 medical students from 36 U.S.…
Descriptors: Medical Students, Medical Schools, Incidence, Drinking
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Saint-Jean, Gilbert; Crandall, Lee A. – Journal of Child & Adolescent Substance Abuse, 2008
The objective of the study was to identify and evaluate factors that are associated with differences in substance abuse between non-acculturated and acculturated Hispanic youth. We employed t-test and logistic regression to analyze self-reported survey data from 8,200 self-described Hispanic students. The outcome variable was past 30-day use of…
Descriptors: Substance Abuse, Drug Use, Predictor Variables, Risk
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