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Showing 1 to 15 of 20 results Save | Export
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Byon, Kevin K.; Zhang, James J. – Measurement in Physical Education and Exercise Science, 2019
Sport management research has evolved significantly despite its relatively short history as an academic discipline. Although the pace of scholarly progress has been impressive, the extent to which many research efforts have aided sport management in becoming a distinct academic discipline is, at times, questionable. A major challenge many scholars…
Descriptors: Athletics, Research, Statistical Analysis, Research Methodology
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Knoeppel, Robert C.; Rinehart, James S. – Educational Considerations, 2008
The purpose of this study was to compare multiple regression with canonical analysis in order to introduce a new, policy relevant methodology to the literature on production functions. Findings from this study confirmed the results of past inquiries that found a relationship between the inputs to schooling and measures of student achievement. A…
Descriptors: Academic Achievement, Literature Reviews, Multiple Regression Analysis, Predictor Variables
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Hinkle, Dennis E.; Oliver, J. Dale – Journal of Vocational Education Research, 1986
Multiple regression analysis (MRA) may be used when both continuous and categorical variables are included as independent research variables. The use of MRA with categorical variables involves dummy coding, that is, assigning zeros and ones to levels of categorical variables. Caution is urged in results interpretation. (Author/CH)
Descriptors: Analysis of Variance, Educational Research, Multiple Regression Analysis, Research Methodology
Thompson, Bruce – 1990
This paper explains in user-friendly terms why multivariate statistics are so important in educational research. The basic logic of canonical correlation analysis is presented as a simple or bivariate Pearson "r" procedure. It is noted that all statistical tests implicitly involve the calculation of least squares weights, and that all…
Descriptors: Educational Research, Heuristics, Least Squares Statistics, Multiple Regression Analysis
Prosser, Barbara – 1990
The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…
Descriptors: Analysis of Variance, Data Analysis, Multiple Regression Analysis, Predictor Variables
Fish, Larry – 1986
A growing controversy surrounds the strict interpretation of statistical significance tests in social research. Statistical significance tests fail in particular to provide estimates for the stability of research results. Methods that do provide such estimates are known as invariance or cross-validation procedures. Invariance analysis is largely…
Descriptors: Correlation, Hypothesis Testing, Multiple Regression Analysis, Multivariate Analysis
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Bauer, Daniel J.; Curran, Patrick J. – Multivariate Behavioral Research, 2005
Many important research hypotheses concern conditional relations in which the effect of one predictor varies with the value of another. Such relations are commonly evaluated as multiplicative interactions and can be tested in both fixed-and random-effects regression. Often, these interactive effects must be further probed to fully explicate the…
Descriptors: Research Methodology, Predictor Variables, Hypothesis Testing, Methods Research
Goldberger, Arthur S.; Cain, Glen G. – 1981
In the study "Public and Private Schools," the conclusions by James Coleman and others that private schools produce higher test scores and do so by employing certain school policies are not valid because the methods and interpretations used in the analysis fall below the standards for social-scientific research. Moreover, the conclusions…
Descriptors: Academic Achievement, Multiple Regression Analysis, Predictor Variables, Private Schools
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Mills, Jamie, D.; Olejnik, Stephen, F.; Marcoulides, George, A. – Multivariate Behavioral Research, 2005
The effectiveness of the Tabu variable selection algorithm, to identify predictor variables related to a criterion variable, is compared with the stepwise variable selection method and the all possible regression approach. Considering results obtained from previous research, Tabu is more successful in identifying relevant variables than the…
Descriptors: Predictor Variables, Multiple Regression Analysis, Behavioral Science Research, Evaluation Criteria
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Wu, Ying; Newfield, Susan A. – Journal of School Health, 2007
Background: This study assessed whether data-collection formats, computerized versus paper-and-pencil, affect response patterns and descriptive statistics for adolescent health assessment surveys. Youth were assessed as part of a health risk reduction program. Methods: Baseline data from 1131 youth were analyzed. Participants completed the…
Descriptors: Antisocial Behavior, Behavior Patterns, Data Collection, Evaluation Methods
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Frey, Lisa L.; Roysircar, Gargi – Journal of Multicultural Counseling and Development, 2006
Relationships of perceived prejudice and acculturation with frequency of help resource utilization were examined for South Asian and East Asian international students (N = 110). All predictors, including interactions, were significant but showed different relationships for the 2 groups. The mean frequency of help resource utilization was…
Descriptors: Acculturation, Foreign Students, Racial Bias, Foreign Student Advisers
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Chu, Yuan-Hsiang – Education, 2006
The study investigated the effects of an educational intervention on the variables of awareness, perception, self-efficacy, and behavioral intentions towards technological literacy among students at a College of Design in Southern Taiwan. Using non-probability sampling, 42 freshmen students from the Department of Product Design participated in the…
Descriptors: Foreign Countries, Teaching Methods, Intervention, Technological Literacy
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Dixon, Marlene A.; Cunningham, George B. – Measurement in Physical Education and Exercise Science, 2006
Understanding that the behavior of people takes place within a context, over the past 20 years research in education and the sport sciences has witnessed an increasing development of multilevel frameworks that are both conceptually and methodologically sound. Despite these advances, the use of multilevel models and research designs in education…
Descriptors: Physical Activities, Statistical Data, Statistical Studies, Statistical Analysis
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Jovick, Thomas D. – 1979
The federally funded longitudinal field study called Management Implications of Team Teaching (MITT) required a search for an appropriate strategy for analyzing through-time relationships among selected variables. The MITT project used questionnaires and interviews to collect data concerning the work, governance, attitudes, and orientation of…
Descriptors: Analysis of Variance, Data Analysis, Elementary Education, Field Studies
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Sexton, Thomas R. – New Directions for Program Evaluation, 1986
The methodology of data envelopment analysis, (DEA) a linear programming-based method, is described. Other procedures often used for measuring relative productive efficiency are discussed in relation to DEA, including ratio analysis and multiple regression analysis. The DEA technique is graphically illustrated for only two inputs and one output.…
Descriptors: Decision Making, Efficiency, Evaluation Methods, Graphs
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