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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

Kappauf, William E. – American Journal of Mental Deficiency, 1976
Descriptors: Analysis of Covariance, Comparative Analysis, Mental Retardation, Multiple Regression Analysis

Morgan, David R.; Kearney, Richard C. – Sociology of Education, 1977
Multiple regression is used to estimate faculty compensation levels and compensation change for 46 paired union and nonunion institutions of higher education for the year 1974-75. Evidence shows that collective bargaining is associated with increased faculty salaries and benefits. (Author)
Descriptors: Collective Bargaining, College Faculty, Comparative Analysis, Educational Sociology

Timmerman, Thomas A. – Teaching of Psychology, 2000
Provides an in-class activity that enables students in research methods to learn about survey design and multiple regression. Explains that the students developed questionnaires in order to generate five items, as set in a multiple regression equation, that would best predict a particular outcome. Discusses benefits and drawbacks. (CMK)
Descriptors: Comparative Analysis, Course Content, Educational Strategies, Higher Education

Coleman, James S. – Social Science Research, 1976
Addresses two related problems: what are the appropriate measures for comparing effects of blocks or compounds of variables (each block conceived as having a single effect) when the causal ordering is assumed to be known, and how can single measures be created for each such block or compound, so that the comparisons can be made. (Author/JM)
Descriptors: Academic Achievement, Comparative Analysis, Educational Resources, Family Influence
Richard, James M., Jr. – 1979
This report examines the difference in approaches between sociologists and psychologists when using multiple regression techniques in the analysis of behavioral data. Psychologists and sociologists are often divided in their orientation toward regression techniques, and this division could be a substantial and unfortunate barrier to communication…
Descriptors: Comparative Analysis, Data Analysis, Differences, Error of Measurement
Remer, Rory; Burton, Nancy – 1971
The relative precision of four methods of estimating missing data in principal components analysis was investigated. Artificial data with known characteristics, obtained from Cattell's "Plasmode: 30-10-4-2," was used with one third of the data on half of the variables being systematically eliminated. The four methods of missing data estimation…
Descriptors: Comparative Analysis, Computation, Correlation, Data Analysis
Hauser, Robert M.; Mossel, Peter A. – 1982
Skeletal models of the regression of occupational status on schooling that correct for response variability and incorporate a variance component structure are presented. The models were derived from an analysis which used multiple measurements of educational attainment and occupational status for 518 male high school graduates and their brothers.…
Descriptors: Comparative Analysis, Education Work Relationship, Educational Attainment, Employment Level
Stroud, T. W. F. – 1973
In a multiple (or multivariate) regression model where the predictors are subject to errors of measurement with a known variance-covariance structure, two-sample hypotheses are formulated for (i) equality of regressions on true scores and (ii) equality of residual variance (or covariance matrices) after regression on true scores. The hypotheses…
Descriptors: Achievement Tests, Comparative Analysis, Error of Measurement, Hypothesis Testing

Todman, John; Lawrenson, Helen – British Educational Research Journal, 1992
Presents the results of a United Kingdom study comparing computer anxiety, mathematics anxiety, and computer experience among college students and elementary students. Includes discussion of age, sex, and the relationship between anxiety and experience. Reports that the younger children had higher computer experience and less computer anxiety.…
Descriptors: Comparative Analysis, Computers, Educational Research, Elementary Education
Forster, Fred – 1975
The purpose of this study was to develop the Johnson-Neyman Procedure (JN-Procedure) appropriate to multiple groups and covariables, and demonstrate its use in the analysis of group differences. A sequence of significance tests which makes it possible to identify the most parsimonious analysis of group differences appropriate to a given set of…
Descriptors: Analysis of Covariance, Comparative Analysis, Experimental Groups, Heterogeneous Grouping
Wongbundhit, Yuwadee – 1984
Two approaches for conceptualizing and estimating a contextual model for analyzing student achievement are the separate equation approach and the single equation approach. The separate equation method determines the relationship between the individual-level independent variable and the individual-level dependent variable within each group. It then…
Descriptors: Academic Achievement, Comparative Analysis, Computer Simulation, Educational Research

D'Elia, George; Walsh, Sandra – Library and Information Science Research, 1985
This study was designed both to determine if patrons are able to discern differences in library performance and to investigate relationships between patron evaluation and use of public libraries. Highlights include study procedures, instrumentation, data collection, results of data analyses, and interpretation of results. Eighteen references are…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Library Services
Keeves, J. P. – 1974
In a study of factors in the educational environment of the home, the school, and the peer group contributing to achievement and attitudes towards schooling at the upper primary and lower secondary school levels, an opportunity arose to examine the data available for configural and curvilinear relationships. Information was collected on 11…
Descriptors: Academic Achievement, Analysis of Variance, Comparative Analysis, Educational Research

Griswold, Philip A. – AEDS Journal, 1985
This study evaluated the degree to which college major (education or business) and student individual differences (sex, age, mathematics ability, and locus of control) are related to attitudes about computers. Results indicate education majors have less favorable attitudes about computers than business majors even with individual differences taken…
Descriptors: Age Differences, Business Administration Education, Comparative Analysis, Computer Literacy
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