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Neto, Felix; Ruiz, Fatima; Furnham, Adrian – High Ability Studies, 2008
This study investigated the relationship among sex, attitude toward intelligence, and self-estimation of multiple intelligences for self and parents among Portuguese adolescents in secondary schools. Two hundred and forty-two adolescents estimated their own and their parents' IQ scores on each of Gardner's 10 multiple intelligences: verbal…
Descriptors: Multiple Intelligences, Gender Differences, Intelligence Tests, Intelligence Quotient
Meyer, Tiffany A.; Gast, Julie – Journal of School Nursing, 2008
Peer influence has been found to be correlated with a host of harmful health behaviors. However, little research has been conducted investigating the relationship between peer influence and disordered eating. The present study surveyed 6th-, 7th-, and 8th-grade girls and boys using the Eating Disorder Inventory (EDI) and Inventory of Peer…
Descriptors: School Nurses, Eating Disorders, Health Behavior, Peer Relationship
Yu, Baohua; Watkins, David A. – Australian Review of Applied Linguistics, 2008
The present study investigates the relationships among motivational factors, cultural correlates and second language proficiency. The participants, from both Western and Asian backgrounds, were learning Chinese at university level in the People's Republic of China. 115 students (35 Western students and 80 Asian students) ranging from beginning to…
Descriptors: Foreign Students, College Students, Asians, Asian Culture
Shieh, Gwowen – Educational and Psychological Measurement, 2006
This article proposes alternative expressions for the two most prevailing definitions of suppression without resorting to the standardized regression modeling. The formulation provides a simple basis for the examination of their relationship. For the two-predictor regression, the author demonstrates that the previous results in the literature are…
Descriptors: Multiple Regression Analysis, Modeling (Psychology), Predictor Variables, Correlation
Stone, Gerald C.; And Others – 1980
The way newspaper quality related to newspaper circulation was examined by asking journalism professionals to list the four best and the four worst daily newspapers with under 200,000 circulation in their own states. Returns were counted in only those states where two or more judges returned ballots. A total of 79 newspapers was rated superior by…
Descriptors: Comparative Analysis, Evaluation, Media Research, Multiple Regression Analysis
Koplyay, Janos B.
The Automatic Interaction Detector (AID) is discussed as to its usefulness in multiple regression analysis. The algorithm of AID-4 is a reversal of the model building process; it starts with the ultimate restricted model, namely, the whole group as a unit. By a unique splitting process maximizing the between sum of squares for the categories of…
Descriptors: Branching, Correlation, Mathematical Models, Multiple Regression Analysis
Peer reviewedJordan, Thomas E. – Multiple Linear Regression Viewpoints, 1978
The use of interaction and non-linear terms in multiple regression poses problems for determining parsimonious models. Several computer programs for using these terms are discussed. (JKS)
Descriptors: Computer Programs, Data Analysis, Mathematical Models, Multiple Regression Analysis
Peer reviewedGreen, Bert F. Jr. – Psychometrika, 1976
A summary and interpretation of the recent literature on the indeterminancy of factor scores is given in simple terms. A good index of factor score determinancy is the squared multiple correlation of the factor with the observed variables. (Author)
Descriptors: Correlation, Factor Analysis, Factor Structure, Multiple Regression Analysis
Peer reviewedGranzin, Kent L.; Painter, John J. – American Educational Research Journal, 1973
Authors discovered significant correlations between couse ratings and variables representing commitment and course-end attitudes toward the course; conclusions suggested steps an instructor might take to improve his ratings.'' (Authors)
Descriptors: Course Evaluation, Multiple Regression Analysis, Predictive Validity, Predictor Variables
Peer reviewedBolton, Brian – Rehabilitation Research and Practice Review, 1972
Descriptors: Comparative Analysis, Multiple Regression Analysis, Predictive Validity, Predictor Variables
Peer reviewedLuftig, Jeffrey T.; Norton, Willis P. – Journal of Epsilon Pi Tau, 1981
This article examines simple and multiple regression analysis as forecasting tools, and details the process by which multiple regression analysis may be used to increase the accuracy of the technology forecast. (CT)
Descriptors: Computer Programs, Data Analysis, Multiple Regression Analysis, Prediction
Peer reviewedPohlmann, John T. – Multiple Linear Regression Viewpoints, 1979
The type I error rate in stepwise regression analysis deserves serious consideration by researchers. The problem-wide error rate is the probability of selecting any variable when all variables have population regression weights of zero. Appropriate significance tests are presented and a Monte Carlo experiment is described. (Author/CTM)
Descriptors: Correlation, Error Patterns, Multiple Regression Analysis, Predictor Variables
Peer reviewedMorris, John D.; And Others – Journal of Experimental Education, 1979
Three traditional methods of selection of variables to be included in a "best" regression equation are compared to a method designed to maximize weight validity. Implications for constructing regression equations for prediction are discussed, with consideration of the weight validity maximization method recommended in crucial situations.…
Descriptors: Academic Achievement, High Schools, Multiple Regression Analysis, Predictor Variables
Peer reviewedRoe, Robert A. – Educational and Psychological Measurement, 1979
Since actual selection can be different from the selection as it is intended, a method is described for clarifying "restriction of range" problems in developing selection/prediction equations. The application of the method is illustrated in a case study. (Author/JKS)
Descriptors: Goodness of Fit, Multiple Regression Analysis, Predictor Variables, Selection
Peer reviewedMcNeil, Keith; And Others – Multiple Linear Regression Viewpoints, 1979
The utility of a nonlinear transformation of the criterion variable in multiple regression analysis is established. A well-known law--the Pythagorean Theorem--illustrates the point. (Author/JKS)
Descriptors: Geometric Concepts, Multiple Regression Analysis, Predictor Variables, Technical Reports

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