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Gujarati, Damodar; Dars, Lewis – Industrial and Labor Relations Review, 1972
Descriptors: Employment Patterns, Labor Force, Labor Utilization, Manufacturing Industry

Gujarati, Damodar; Dars, Lewis – Industrial and Labor Relations Review, 1972
Descriptors: Employment Patterns, Labor Force, Labor Utilization, Manufacturing Industry
Clemens, Bryan; And Others – Educ Psychol Meas, 1970
Multiple discriminant function analysis is used to locate differences in inventoried interests among a selected engineering sample. This technique is an effective statistical procedure for discriminating among occupational groups where data similar to that analyzed in the article are available. (Author/CK)
Descriptors: Curriculum, Engineers, Groups, Multiple Regression Analysis

Goldberger, Arthur S. – Psychometrika, 1971
Several themes which are common to both econometrics and psychometrics are surveyed. The themes are illustrated by reference to permanent income hypotheses, simultaneous equation models, adaptive expectations and partial adjustment schemes, and by reference to test score theory, factor analysis, and time-series models. (Author)
Descriptors: Economics, Factor Analysis, Mathematical Models, Multiple Regression Analysis
Dyer, Henry S. – Phi Delta Kappan, 1970
By ascertaining student achievement levels both at admission and at the time the student leaves a school, and by comparing these two scores, a school effectiveness index can be formulated. (RA)
Descriptors: Accountability, Cost Effectiveness, Educational Facilities Improvement, Educational Responsibility

Rozeboom, William W. – Journal of Educational Statistics, 1981
Browne's definitive but complex formulas for the cross-validational accuracy of an OSL-estimated regression equation in the random-effects sampling model are here reworked to achieve greater perspicuity and extended to include the fixed-effects sampling model. (Author)
Descriptors: Least Squares Statistics, Mathematical Models, Multiple Regression Analysis, Research Design

Kippel, Gary – New Directions for Program Evaluation, 1981
Statistical techniques for identifying exceptional school progress are outlined and illustrated. Regression analyses using two sets of test scores are suggested as a preliminary indicator. These techniques would be useful to school administrators. School progress is best measured by criterion referenced tests rather than norm referenced tests.…
Descriptors: Academic Achievement, Institutional Evaluation, Multiple Regression Analysis, Regression (Statistics)

Coles, Gary J. – Multiple Linear Regression Viewpoints, 1979
This paper discusses how full model dummy variables can be used with partial correlation or multiple regression procedures to compute matrices of pooled within-group correlations. (Author/CTM)
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Predictor Variables

Erbring, Lutz; Young, Alice A. – Sociological Methods and Research, 1979
Treatments of contextual effects in the social science literature have traditionally focused on statistical phenomena more than on social processes. This article seeks to redress that imbalance by focusing on underlying processes through which social structure and social interaction may impinge upon individuals. (Author/JKS)
Descriptors: Context Effect, Mathematical Models, Multiple Regression Analysis, Social Relations

Molnar, Joseph J.; Rogers, David L. – Administrative Science Quarterly, 1979
Develops a model of interorganizational conflict (both structural, which involves rules that govern a relationship, and operating, which involves the interpretation and application of such rules) that incorporates key aspects of the organizational interface, explaining conflict on the basis of similarities and differences among the interacting…
Descriptors: Agency Role, Community Organizations, Conflict, Models
Kindem, Gorham A. – Journal of the University Film Association, 1980
Presents a study of film attendance at the University of North Carolina which was developed to help university film programers make rational decisions regarding film offerings and to predict attendance at popular films. (JMF)
Descriptors: Attendance Patterns, College Students, Films, Higher Education

Serlin, Ronald C.; Levin, Joel R. – American Educational Research Journal, 1980
Regions of significance in aptitude-by-treatment-interaction studies are examined by the traditional statistical approach and an alternative approach which integrates: (1) testing for the parallelism of two or more regression lines; (2) testing for their identity; and (3) Scheffe's theorem. (Author/RL)
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Multiple Regression Analysis, Statistical Analysis

Steiger, James H. – Psychometrika, 1979
A theorem which gives the range of possible correlations between a common factor and an external variable (not contained in the factor analysis) is presented. Analogous expressions for component theory are also derived. (Author/JKS)
Descriptors: Correlation, Data Analysis, Factor Analysis, Multiple Regression Analysis

Strahan, Robert F. – Multivariate Behavioral Research, 1979
The misleading character of the correlation coefficient was investigated in two studies of intuitive statistical behavior: subjective estimation of partial correlation and subjective estimation of the minimum possible correlation between two variables given their equal correlation with a third. (Author/JKS)
Descriptors: Comprehension, Correlation, Multiple Regression Analysis, Researchers

Mouw, John T.; Nu, View – Multiple Linear Regression Viewpoints, 1979
Repeated measures designs often involve dichotomization of a continuous variable in order to be amenable to the analysis of variance nature of such designs. An alternative to that approach wherein the independent variable is kept continuous is presented. (JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Hypothesis Testing, Multiple Regression Analysis