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Raychowdhury, Swati; Lohrmann, David K. – Journal of American College Health, 2008
Objectives: In fall 2004, the authors used a survey to assess the knowledge, attitudes, motivations, and behaviors of college students relative to oral cancer prevention to inform development of targeted prevention programming. Participants: A convenience sample of 1,003 undergraduate students at one public university in Indiana participated.…
Descriptors: Undergraduate Students, Smoking, Marijuana, Prevention
Peer reviewedCramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Statistical Analysis
Peer reviewedTzelgov, 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
Peer reviewedMalgady, Robert G. – Educational and Psychological Measurement, 1976
An analysis of variance procedure for testing differences in r-squared, the coefficient of determination, across independent samples is proposed and briefly discussed. The principal advantage of the procedure is to minimize Type I error for follow-up tests of pairwise differences. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Multiple Regression Analysis, Predictor Variables
Henard, David H. – 1998
The important and sometimes difficult-to-grasp concept of regression suppressor variable effects is explored. An inquiry into the phenomenon of suppressor effects is accomplished via a synthesis of the existing literature and the use of a small heuristic data set to improve the accessibility of the concept. Implications for researchers are also…
Descriptors: Heuristics, Multiple Regression Analysis, Predictive Measurement, Predictor Variables
Peer reviewedConger, Anthony J. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Definitions, Measurement Techniques, Multiple Regression Analysis, Predictor Variables
McNeil, Keith; Lewis, Ernest L. – Measurement and Evaluation in Guidance, 1972
This article illustrates the role multiple linear regression can play in developing prediction equations by providing examples of regression models that could be used in answering questions relative to the importance of a single predictor variable, interactions between predictor variables, and the cross-validation and generalizability of…
Descriptors: Measurement Techniques, Multiple Regression Analysis, Prediction, Predictor Variables
Peer reviewedWilliams, John D.; Lindem, Alfred C. – Educational and Psychological Measurement, 1971
Setwise regression analysis is a new technique developed to allow a stepwise solution when the interest is in sets of variables rather than in single variables. (CK)
Descriptors: Computer Programs, Correlation, Multiple Regression Analysis, Predictor Variables
Strattman, Kathy; Hodson, Barbara Williams – Child Language Teaching and Therapy, 2005
Performances on tasks of phonemic manipulation, working memory, rapid naming, multisyllable word naming, receptive vocabulary and nonverbal intelligence were compared with decoding and spelling scores for 75 beginning readers. Multiple regression analysis revealed that phonemic manipulation accounted for the greatest amount of variance for both…
Descriptors: Phonemics, Memory, Spelling, Nonverbal Ability
Luna, Andrew L. – Online Submission, 2007
The purpose of this study was to determine if a market ratio factor was a better predictor of faculty salaries than the use of k-1 dummy variables representing the various disciplines. This study used two multiple regression analyses to develop an explanatory model to determine which model might best explain faculty salaries. A total of 20 out of…
Descriptors: Salaries, College Faculty, State Colleges, State Universities
Olatoye, R. A.; Oyundoyin, J. O. – Educational Research and Reviews, 2007
This study investigated how Intelligence Quotient predicts general level of creativity and different components of creativity; fluency, originality, flexibility and creativity motivation among secondary school students in Oyo State. A total of four hundred and sixty (460) students were randomly selected from twenty (20) secondary schools in the…
Descriptors: Creativity, Student Attitudes, Intelligence Tests, Intelligence Quotient
DeCosta, James William – ProQuest LLC, 2010
The researcher examined the effects of online (OL) and face-to-face (FTF) course modality choice, as a motivational component, on students. self-selection of courses. A naturally occurring control and treatment group comparison design was employed. The participants were 435 college students (200 OL and 235 FTF) who attended an accredited private…
Descriptors: Student Employment, Employment Level, Grade Point Average, Private Colleges
Martin, Alyson Margaret – ProQuest LLC, 2010
Burnout and decreased levels of self-efficacy are contributors to the high attrition rate and increasing demand for highly-qualified special educators nationwide. This has led to a national shortage of special educators, which is a critical reason why current special educators are encountering high stress levels, dissatisfaction, and overall…
Descriptors: Fatigue (Biology), Self Efficacy, Learning Disabilities, Role Conflict
Alp, Elvan; Ertepinar, Hamide; Tekkaya, Ceren; Yilmaz, Ayhan – Environmental Education Research, 2008
This study investigated elementary school students' environmental knowledge and attitudes, the effects of sociodemographic variables on environmental knowledge and attitudes, and how self-reported environmentally friendly behaviour is related to environmental knowledge, behavioural intentions, environmental affects, and the students' locus of…
Descriptors: Elementary School Students, Locus of Control, Student Attitudes, Environmental Education
Carrell, Scott E.; Malmstrom, Frederick V.; West, James E. – Journal of Human Resources, 2008
Using self-reported academic cheating from the classes of 1959 through 2002 at the three major United States military service academies (Air Force, Army, and Navy), we measure how peer cheating influences individual cheating behavior. We find higher levels of peer cheating result in a substantially increased probability that an individual will…
Descriptors: Military Service, College Students, Cheating, Peer Influence

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