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Greenberg, Barry; Mejias, Ricardo – 1972
This study utilized linear multiple regression analysis with dummy variables to isolate one component of an educational accountability system, the contribution of the individual teacher to student achievement. Independent variables consisted of measures of each student's past academic record, the size of the class and a dummy variable to represent…
Descriptors: Academic Achievement, Accountability, Evaluation Methods, Multiple Regression Analysis
Lewis, Ernest L.; Mouw, John T. – 1972
This paper discusses the use of contrast coefficients in multiple linear regression models, and shows how they can provide for a logical method of analysis in both the analysis of variance and the analysis of covariance. (CK)
Descriptors: Analysis of Covariance, Analysis of Variance, Hypothesis Testing, Interaction
Grunde, Andris – NASPA, 1976
The importance of college image on student enrollment choices is discussed and a model is described which, using various student background variables as independent variables and college choice as the dependent variable, tries to assess the factors which determine college choice. (SE)
Descriptors: Background, College Admission, College Choice, Demography
Reiter, Herbert D. – IAR Research Bulletin, 1976
Part 1 of a two-part article describing a study that attempts to identify determinants of change in teacher salaries and examines both school district contextual factors and school district negotiations characteristics in terms of final contracts negotiated in New York during the 1971-72 school year. (JG)
Descriptors: Collective Bargaining, Community Characteristics, Economic Factors, Elementary Secondary Education

Pearse, R. – International Review of Education, 1977
This study, based on a survey of rural families in several provinces in Indonesia, is an attempt to search for variables, and combinations of variables, that predict the actual utilization of schooling by individual families. Suggests these useful predictors: family characteristics, family economic status, family orientation toward education.…
Descriptors: Case Studies, Family Attitudes, Family Characteristics, Multiple Regression Analysis

Bielby, 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

Vasu, 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

Blair, 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

McGuffey, 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

Bailey, 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

Shelton, 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

Vernon, 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

Hawkins, 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

Butler, 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