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Sociological Methods and… | 5 |
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Reports - Research | 4 |
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Peer reviewed
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
Peer reviewed
Igra, Amnon – Sociological Methods and Research, 1980
Three methods of estimating a model of school effects are compared: ordinary least squares; an approach based on the analysis of covariance; and, a residualized input-output approach. Results are presented using a matrix algebra formulation, and advantages of the first two methods are considered. (Author/GK)
Descriptors: Analysis of Covariance, Hypothesis Testing, Least Squares Statistics, Mathematical Models
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
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
Holt, D. – Sociological Methods and Research, 1979
Two techniques for interpretation of fitted log-linear models in contingency table analysis are discussed. The use of odds ratios as opposed to direct interpretation of the fitted model is argued for. (Author/JKS)
Descriptors: Expectancy Tables, Goodness of Fit, Hypothesis Testing, Mathematical Models