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Showing 1 to 15 of 81 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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Scott, Nicholas A.; Siltanen, Janet – International Journal of Social Research Methodology, 2017
This article examines the use of quantitative methods to advance feminist-inspired understandings of intersectionality. We acknowledge a range of conflicting opinions about the suitability of current quantitative techniques. To contribute to this debate, we assess the conceptualizations of intersectionality embedded in the most common approach to…
Descriptors: Statistical Analysis, Feminism, Research Methodology, Multiple Regression Analysis
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Sundell, Knut; Åhsberg, Elizabeth – Research on Social Work Practice, 2018
Objective: There is substantial evidence that poorly designed and reported research can mislead decision making in clinical care. This review investigates the methodological quality of Swedish trials of a wide array of psychological and social interventions. Method: The review includes 302 articles published in peer-reviewed journals during…
Descriptors: Randomized Controlled Trials, Pretests Posttests, Control Groups, Intervention
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Beaujean, A. Alexander – Practical Assessment, Research & Evaluation, 2014
A common question asked by researchers using regression models is, What sample size is needed for my study? While there are formulae to estimate sample sizes, their assumptions are often not met in the collected data. A more realistic approach to sample size determination requires more information such as the model of interest, strength of the…
Descriptors: Regression (Statistics), Sample Size, Sampling, Monte Carlo Methods
Perez, Miguel S. – ProQuest LLC, 2013
The nation's generation of "Baby Boomers" is now the grandparents of a new generation of students known as "Gen Y" and "Gen Z," respectively. "Gen X," parents of our current students, have the enormous task of raising their children as "digital natives" in a technological-savvy world. The idea of…
Descriptors: Secondary School Mathematics, Mathematics Education, Mathematics Achievement, STEM Education
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Onwuegbuzie, Anthony J.; Collins, Kathleen M. T.; Jiao, Qun G. – Active Learning in Higher Education, 2009
This study investigated the degree that social interdependence predicted the achievement of 26 cooperative learning groups. Social interdependence was assessed in terms of postgraduate students' individual orientation (that is, cooperative, competitive, and individualistic). Participants were 84 postgraduate students enrolled in an…
Descriptors: Individualism, Research Methodology, Cooperative Learning, Active Learning
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Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Roscoe, John T.; Kittleson, Howard M. – 1971
Correlation matrices involving linear dependencies are common in educational research. In such matrices, there is no unique solution for the multiple regression coefficients. Although computer programs using iterative techniques are used to overcome this problem, these techniques possess certain disadvantages. Accordingly, a modified Gauss-Jordan…
Descriptors: Algorithms, Correlation, Multiple Regression Analysis, Research Methodology
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Holling, Heinz – Educational and Psychological Measurement, 1983
Recent theoretical analyses of the concept of suppression are identified and discussed. A generalized definition of suppression is presented and the conditions for suppressor structures in the context of the General Linear Model are derived. (Author)
Descriptors: Mathematical Models, Multiple Regression Analysis, Research Methodology, Statistical Analysis
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Hurst, Rex L. – American Educational Research Journal, 1970
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Research Methodology
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Grobe, Cary H. – Journal of Research in Science Teaching, 1973
A study to demonstrate the use of multiple regression for evaluation of instructional strategies in science. Two groups of students received Audio-Tutorial and conventional instruction. Research design was a treatment by levels with two treatments and three levels of aptitude within each treatment. (PS)
Descriptors: Multiple Regression Analysis, Research Methodology, Science Education, Statistical 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
Newman, Isadore; Fraas, John W. – 1977
The intention of this paper is to provide an overall reference on how a researcher can apply multiple linear regression in order to utilize the advantages that it has to offer. The advantages and some concerns expressed about the technique are examined. A number of practical ways by which researchers can deal with such concerns as…
Descriptors: Multiple Regression Analysis, Research Methodology, Research Tools, Social Sciences
McNeil, Keith A.; Beggs, Donald L. – 1971
Two well known directional (one-tailed) tests of significance, mean difference and correlation coefficient, are presented within the multiple linear regression framework. Adjustments on the computed probability level are indicated. The case for a directional interaction research hypothesis is defended. Conservative adjustments on the computed…
Descriptors: Correlation, Hypothesis Testing, Multiple Regression Analysis, Research Methodology
Elashoff, Janet Dixon; Elashoff, Robert M. – 1970
This paper introduces a model for describing outliers (observations which are extreme in some sense or violate the apparent pattern of other observations) in linear regression which can be viewed as a mixture of a quadratic and a linear regression. The maximum likelihood estimators of the parameters in the model are derived and their asymptotic…
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Research Methodology
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