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And Others; Saris, Willem E. – Sociological Methods and Research, 1978
Three different applications of factor scores lead to three different sets of criteria for optimal estimation procedures. The regression method and the Bartlett method best satisfy the first two sets of criteria, and a generalized Anderson and Rubin procedure is optimal for the third set of criteria. (Author/CTM)
Descriptors: Comparative Analysis, Criteria, Factor Analysis, Least Squares Statistics
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Fink, Edward L.; Mabee, Timothy I. – Sociological Methods and Research, 1978
When a linear structural equation model results in nonlinear procedures for solution, multiple (but finite) sets of solutions may be possible, even with population data. An example of a three-variable feedback system is given in which two sets of solutions may be generated. (Author/CTM)
Descriptors: Mathematical Models, Statistical Analysis
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Pendleton, Brian F.; And Others – Sociological Methods and Research, 1979
Sociological and demographic research often uses variables computed as ratios. When the denominators are highly correlated, and the ratios are used in correlation or regression analysis, a statistical dependency is formed. This article investigates this problem, particularly with respect to partial correlation, multiple regression, and the…
Descriptors: Change, Correlation, Critical Path Method, Longitudinal Studies
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Burt, Ronald S.; And Others – Sociological Methods and Research, 1979
An example demonstrates that Joreskog's suggested sufficient conditions for identifying unknown parameters in a confirmatory factor analytic model with correlated factors are not sufficient. Sufficient conditions are presented. (Author/JKS)
Descriptors: Affective Measures, Critical Path Method, Factor Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
MacDonald, K. I. – Sociological Methods and Research, 1979
The use of a path analysis model to obtain unique, substantively meaningful decomposition of variance among endogenous (independent) variables in the model is argued. This reasoning runs counter to more traditional path analytic work. An example is provided. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Critical Path Method, Data Analysis
Peer reviewed Peer reviewed
Kritzer, Herbert M. – Sociological Methods and Research, 1979
Social scientists have available a wide array of techniques for the analysis of complex contingency tables. Considerations in choosing from among the techniques are discussed. The theme emphasized here is that the analyst should evaluate the techniques within the context of the substantive questions of the study. (Author/JKS)
Descriptors: Expectancy Tables, Guides, Hypothesis Testing, Probability
Peer reviewed Peer reviewed
Angle, John – Sociological Methods and Research, 1979
This paper poses a research question about how a person's work experience affects his or her earnings and shows how the Cumulative Experience Method (CEM) can provide an answer to the question using all available information in a longitudinal data set. (Author/GDC)
Descriptors: Experience, Income, Longitudinal Studies, Mathematical Models
Peer reviewed Peer reviewed
Wilson, Thomas P. – Sociological Methods and Research, 1979
A recent recommendation by Holt (EJ 200 576) that coefficients resulting from estimating log-linear and similar models should not be interpreted is argued to be based on lack of clarity about the substantive and theoretical importance of the choice between dummy and effect coding for categorical variables. (Author/GDC)
Descriptors: Expectancy Tables, Goodness of Fit, Mathematical Models, Probability
Peer reviewed Peer reviewed
Teachman, Jay D. – Sociological Methods and Research, 1980
Defining population diversity as the distribution along a continuum of homogeneity to heterogeneity with respect to one or more variables, measures are described with variance-based interpretations which can be applied to qualitative data. It is possible to use these statistics to define relationships in multivariate distributions. (Author/CTM)
Descriptors: Analysis of Variance, Classification, Correlation, Data Analysis
Peer reviewed Peer reviewed
Smith, Kent W.; Sasaki, M. S. – Sociological Methods and Research, 1979
A method is proposed for overcoming the problem of multicollinearity in multiple regression equations where multiplicative independent terms are entered. The method is not a ridge regression solution. (JKS)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis
Peer reviewed Peer reviewed
Borgatta, Edgar F.; Jackson, David J. – Sociological Methods and Research, 1979
A brief perspective on the analysis and use of aggregate data is presented in this overview. The remainder of this journal (TM 504 431 - 504 435) is devoted to the problems of aggregate data analysis. (JKS)
Descriptors: Data Analysis, Statistical Analysis, Statistical Data, Technical Reports
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Firebaugh, Glenn – Sociological Methods and Research, 1979
The relationship between two methods for detecting group effects in nonexperimental data--covariance analysis and contextual analysis--is examined. The examination shows that contextual effects are a special case of the group effect obtained in covariance analysis. (Author/JKS)
Descriptors: Analysis of Covariance, Comparative Analysis, Context Effect, Hypothesis Testing
Peer reviewed Peer reviewed
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
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Bollen, Kenneth A.; Ward, Sally – Sociological Methods and Research, 1979
Three different uses of ratio variables in aggregate data analysis are discussed: (1) as measures of theoretical concepts, (2) as a means to control an extraneous factor, and (3) as a correction for heteroscedasticity. Alternatives to ratios for each of these cases are discussed and evaluated. (Author/JKS)
Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Ratios (Mathematics)
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Little, Roderick J. A.; Pullum, Thomas W. – Sociological Methods and Research, 1979
Two methods of analyzing nonorthogonal (uneven cell sizes) cross-classified data sets are compared. The methods are direct standardization and the general linear model. The authors illustrate when direct standardization may be a desirable method of analysis. (JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Mathematical Models, Multiple Regression Analysis
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