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Williams, 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
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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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Wasik, John L. – Educational and Psychological Measurement, 1981
The use of segmented polynomial models is explained. Examples of design matrices of dummy variables are given for the least squares analyses of time series and discontinuity quasi-experimental research designs. Linear combinations of dummy variable vectors appear to provide tests of effects in the two quasi-experimental designs. (Author/BW)
Descriptors: Least Squares Statistics, Mathematical Models, Multiple Regression Analysis, Quasiexperimental Design
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Cohen, Jacob – Multivariate Behavioral Research, 1982
Set correlation is a multivariate generalization of multiple regression/correlation analysis that features the employment of overall measures of association interpretable as proportions of variance and the use of set-partialled sets of variables. The statistical development of the theory and several examples are presented. (Author/JKS)
Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, Multivariate Analysis
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Muller, Keith E. – Psychometrika, 1981
Redundancy analysis is an attempt to provide nonsymmetric measures of the dependence of one set of variables on another set. This paper attempts to clarify the nature of redundancy analysis and its relationships to canonical correlation and multivariate multiple linear regression. (Author/JKS)
Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, Multivariate Analysis
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Elshout, Jan; And Others – Educational and Psychological Measurement, 1979
It has been shown that the degree of restriction of range taken into account in testing the hypothesis that rho equals zero, entails risks of incorrect inferences. It is argued that an alternative is to disregard the restriction of range and to use the common t-statistics proposed by regression theory. (Author/JKS)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Multiple Regression Analysis
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Butz, William P.; Ward, Michael P. – American Economic Review, 1979
This model emphasizes the distinction between male and female earnings and the distinction between families with employed wives and those without as they affect the fertility rate. (Author/IRT)
Descriptors: Birth Rate, Economic Factors, Employed Women, Models
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McDonald, Roderick P. – Psychometrika, 1976
The monotone regression function of Kruskal and the rank image of Guttman and Lingoes are fitted to bivariate normal samples and their statistical properties contrasted. Tables of results are presented. (Author/JKS)
Descriptors: Goodness of Fit, Multidimensional Scaling, Multiple Regression Analysis, Nonparametric Statistics
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Petrocelli, John V. – Measurement and Evaluation in Counseling and Development, 2003
A brief content analysis was conducted on the use of hierarchical regression in counseling research published in the "Journal of Counseling Psychology" and the "Journal of Counseling & Development" during the years 1997-2001. Common problems are cited and possible remedies are described. (Contains 43 references and 3 tables.) (Author)
Descriptors: Content Analysis, Counseling Psychology, Multiple Regression Analysis, Research
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Algina, James; Olejnik, Stephen – Multivariate Behavioral Research, 2003
Tables for selecting sample size in correlation studies are presented. Some of the tables allow selection of sample size so that r (or r[squared], depending on the statistic the researcher plans to interpret) will be within a target interval around the population parameter with probability 0.95. The intervals are [plus or minus] 0.05, [plus or…
Descriptors: Probability, Intervals, Sample Size, Multiple Regression Analysis
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Curran, Patrick J. – Multivariate Behavioral Research, 2003
A core assumption of the standard multiple regression model is independence of residuals, the violation of which results in biased standard errors and test statistics. The structural equation model (SEM) generalizes the regression model in several key ways, but the SEM also assumes independence of residuals. The multilevel model (MLM) was…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Observation, Mathematical Models
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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
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Turner, Lori W.; Wallace, Lorraine Silver; Perry, Blake Allen; Bleeker, Jeanne – American Journal of Health Behavior, 2004
Objective: To investigate the risk factors for osteoporosis among a sample of middle-aged women. Methods: Adipose tissue and bone mineral density levels at the left femur, lumbar spine, and total body were assessed using dual-energy x-ray absorptiometry (DXA). Subjects (n=342) were surveyed regarding a variety of osteoporosis-related risk factors.…
Descriptors: Prevention, Females, Risk, Body Composition
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McKinney, Kathleen – International Journal for the Scholarship of Teaching and Learning, 2008
My focus in this exploratory study is on factors related to success in the sociology major. One hundred, fourteen graduating majors from a mid-sized, public university completed a self-administered questionnaire. Students reported that talking with others about the material as well as using application, real world examples, and review strategies…
Descriptors: Undergraduate Students, College Seniors, Academic Achievement, Success
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Razmjoo, Seyyed Ayatollah – Reading Matrix: An International Online Journal, 2008
The intent of the present study was to examine the strength of the relationship between language proficiency in English and the 9 types of intelligences. As such, the objectives of this study were three-folded. The primary objective of the study was to investigate the relationship between multiple intelligences and language proficiency among the…
Descriptors: Correlation, Multiple Intelligences, Questionnaires, College Entrance Examinations
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