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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
Jinks, Susan Elizabeth – ProQuest LLC, 2009
The purpose of the study was to determine if the constructs of teaching presence and the sense of community function as predictors of perceived student learning in an online course. Each participating online student completed an online survey comprised of an informed consent, an item regarding their perception of learning (Richmond et al., 1987),…
Descriptors: Electronic Learning, Online Courses, Measures (Individuals), Multiple Regression Analysis
Peer reviewedAdelabu, Detris Honora – Adolescence (San Diego): an international quarterly devoted to the physiological, psychological, psychiatric, sociological, and educational aspects of the second decade of human life, 2007
This study examined the relationship of academic achievement to time perspective (future, present) and school membership (belonging, acceptance, rejection) among 232 low-income, urban African American adolescents. Findings indicated positive, significant relationships among academic achievement, future time perspective, school belonging, and…
Descriptors: Academic Achievement, Adolescents, Multiple Regression Analysis, Time Perspective
Greiman, Bradley C.; Addington, Leah S. – Journal of Leadership Education, 2008
Supported by Bandura's social cognitive theory, our study examined personal factors and environmental factors that impact adults' ability to assist youth in developing leadership. We introduce youth leadership development self-efficacy (YLD-SE) as a new construct for use in leadership research. A 7-item scale to measure YLD-SE was developed and…
Descriptors: Youth, Leadership Training, Self Efficacy, Models
Kim, Paul; Olaciregui, Claudia – British Journal of Educational Technology, 2008
An electronic portfolio system, designed to serve as a resource-based learning space, was tested in a fifth-grade science class. The control-group students accessed a traditional folder-based information display in the system and the experimental-group students accessed a concept map-based information display to review a science portfolio. The…
Descriptors: Portfolios (Background Materials), Concept Mapping, Grade 5, Information Processing
Adebayo, Bob – Journal of College Admission, 2008
The purpose of this study is to determine the extent to which cognitive and non-cognitive measures predict academic success for conditionally-admitted students enrolled in a comprehensive public university. Stepwise multiple regression analyses reveal that one cognitive variable (high school grade point average) and two non-cognitive measures…
Descriptors: Predictor Variables, Academic Achievement, College Admission, Academic Standards
Friedrich, Katherine R. – 1991
The recognition that all parametric methods are interrelated, coupled with the notion that structure coefficients are often vital in factor and canonical analyses, suggests that structure coefficients may be important in univariate analysis as well. Using a small, heuristic data set, this paper discusses the importance of structure coefficients…
Descriptors: Analysis of Variance, Factor Analysis, Heuristics, Multiple Regression Analysis
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
Peer reviewedLewis, John; Welch, Margaret – Educational and Psychological Measurement, 1975
Determines (1) degree of relationship between selected objective background variables and academic achievement in an upper-division bachelors degree program in nursing, (2) which variables would add to the efficiency of a regression function for predicting achievement, and (3) what the accuracy of this optimum regression function would be. (RC)
Descriptors: Academic Achievement, College Programs, Grades (Scholastic), Multiple Regression Analysis
PDF pending restorationMalgady, Robert G. – 1975
Common applications of the part correlation coefficient are in causal regression models and estimation of suppressor variable effects. However, there is no statistical test of the significance of the difference between a zero-order correlation and a part correlation, nor between a pair of part correlations. Hotelling's t is used for contrasting:…
Descriptors: Correlation, Mathematical Models, Multiple Regression 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
Peer reviewedVelicer, Wayne F. – Educational and Psychological Measurement, 1978
A definition of a suppressor variable is presented which is based on the relation of the semipartial correlation to the zero order correlation. Advantages of the definition are given. (Author/JKS)
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Predictor Variables
Peer reviewedMcSweeney, Maryellen; Schmidt, William H. – Journal of Educational Statistics, 1977
The relationship between quantitative predictor variables and the probability of occurrence of one or more levels of a qualitative criterion variable can be analyzed by quantal response techniques. This paper presents and discusses two quantal response models, comparing them to multiple linear regression and discriminant analysis. (Author/JKS)
Descriptors: Discriminant Analysis, Mathematical Models, Multiple Regression Analysis, Predictor Variables
Peer reviewedLeitner, Dennis W. – Multiple Linear Regression Viewpoints, 1978
A suppressor variable is a regressor in a multiple regression which contributes more to the squared multiple correlation than the magnitude of its simple correlation with the outcome variable. An example of such a situation is provided for teaching purposes. (JKS)
Descriptors: Higher Education, Multiple Regression Analysis, Predictor Variables, Statistics

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