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Peer reviewedBielby, Denise Del Vento – Sex Roles, 1978
Socioeconomic differences were controlled for an examination of longitudinal data on established critical factors in career salience of female college graduates. Details about mother's employment history, respondent's recollection of the attitudes of family members concerning that employment, and indicators of daughter's sex role ideology were…
Descriptors: Career Choice, College Graduates, Employed Women, Family Influence
Peer reviewedVasu, Ellen Storey – Multiple Linear Regression Viewpoints, 1978
The construction and interpretation of confidence intervals for the prediction of new cases in multiple regression analysis is explained. An example is provided. (JKS)
Descriptors: Computer Programs, Data Analysis, Goodness of Fit, Multiple Regression Analysis
Peer reviewedBlair, R. Clifford; Higgings, J. J. – American Educational Research Journal, 1978
Kaufman and Sweet's article on the regression analysis of unbalanced factorial designs (EJ 111 767) is reviewed. A number of errors are noted, and relevant literature is cited. (GDC)
Descriptors: Least Squares Statistics, Mathematical Models, Multiple Regression Analysis, Research Design
Peer reviewedMcGuffey, Carroll W.; Brown, Carvin L. – CEFP Journal, 1978
The influence of school building age on the academic achievement of pupils in the fourth, eight, and eleventh grades is examined while controlling the variance due to selected socioeconomic factors. (Author/MLF)
Descriptors: Academic Achievement, Building Obsolescence, Elementary Secondary Education, Environmental Influences
Peer reviewedBailey, Kent G.; And Others – Journal of Consulting and Clinical Psychology, 1977
Two measures of "breadth" and three measures of "depth" were derived, based on special administration and scoring of the Wechsler Similarities subscale. Factor analyses indicated that breadth and depth can be distinguished statistically, and multiple regression analyses revealed that the derived measures contributed to improved…
Descriptors: Factor Analysis, Intelligence Tests, Multiple Regression Analysis, Predictor Variables
Peer reviewedShelton, Fred Ames – Computers and Education, 1987
Discusses the use and interpretation of multiple regression analysis with computer programs and presents a flow chart of the process. A general explanation of the flow chart is provided, followed by an example showing the development of a linear equation which could be used in estimating manufacturing overhead cost. (Author/LRW)
Descriptors: Computer Software, Cost Estimates, Flow Charts, Graphs
Peer reviewedVernon, Philip A.; And Others – Intelligence, 1985
Eighty-one university students were given a battery of reaction time tests and a group test of intelligence which yielded timed and untimed scores. Multiple regression analyses indicated that speed of information-processing was an equally good predictor of timed and untimed intelligence test performance. (Author/LMO)
Descriptors: Cognitive Processes, Conceptual Tempo, Correlation, Higher Education
Peer reviewedHawkins, Michael R.; And Others – Journal of Medical Education, 1985
A study to compare cognitive functioning in acutely and chronically sleep-deprived house officers is described. A multivariate analysis of variance revealed significant deficits in primary mental tasks involving basic rote memory, language, and numeric skills. (Author/MLW)
Descriptors: Fatigue (Biology), Graduate Medical Students, Higher Education, Medical Education
Peer reviewedButler, John K.; Womer, Norman Keith – Multivariate Behavioral Research, 1985
The study tests the appropriateness of multiplicative versus additive expectancy-valency models for grouping motivational force decisions of 82 undergraduate students. Arguments are offered favoring a non-nested regression models analysis over a traditional hierarchical analysis of nested regression models. Discriminant analysis indicated one of…
Descriptors: Cognitive Ability, Decision Making, Higher Education, Mathematical Models
Muijs, Daniel – SAGE Publications, 2004
This book looks at quantitative research methods in education. The book is structured to start with chapters on conceptual issues and designing quantitative research studies before going on to data analysis. While each chapter can be studied separately, a better understanding will be reached by reading the book sequentially. This book is intended…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Correlation, Educational Research
Swail, Watson Scott; Cabrera, Alberto F.; Lee, Chul; Williams, Adriane – Online Submission, 2005
The third component of our three-part series focuses on students who attained a bachelor's degree and what it took to get there. We used multiple regression analysis to determine the factors that seemed to matter on the pathway to the BA. The appendix of this report provides methodological details to this analysis. (Contains 2 footnotes and 7…
Descriptors: Multiple Regression Analysis, Educational Research, Hispanic American Students, College Graduates
Miller, Douglas E.; Kunce, Joseph T. – Measurement and Evaluation in Guidance, 1973
An empirical study of statistical overkill investigated the generalizability of multiple regression equations as a function of the subject/variable ratio. Data from various-sized groups of rehabilitation clients were used to develop the equations. Findings showed that equations developed on samples with less than a 10 to 1 ratio failed to…
Descriptors: Generalization, Multiple Regression Analysis, Prediction, Predictive Validity
Peer reviewedKelly, Francis J.; And Others – Journal of Experimental Education, 1973
This paper presents a number of inferential statistical models that may aid the operant investigator in presenting his data. (Author/RK)
Descriptors: Behavior Change, Educational Experiments, Educational Research, Models
Peer reviewedHofman, John E. – Linguistics, 1974
Article also appeared in "International Journal of the Sociology of Language," n1. (DD)
Descriptors: Chemical Industry, Hebrew, Language Planning, Multiple Regression Analysis
Peer reviewedCarss, Brian W. – Journal of Educational Administration, 1973
The proposed model can be likened to a moving least squares'' model. It uses a data search procedure in which the intent is to evaluate a number of variables substantively, rather than in terms of formal statistical procedures. (Author)
Descriptors: Educational Planning, Elementary Education, Enrollment Projections, Mathematical Models

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