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Uses and limitations of dichotomous aggregate relational data
Social Networks, 2023Derick S. Baum, Peter V. Marsden
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Analysis of dichotomized factorial data
Journal of Chronic Diseases, 1976Abstract This communication presents a method of analyzing frequency data with each of the risk factors at two levels in such a way that the results are consistent with the general linear model analysis for groups of unequal size. The essential feature of the method is to make use of orthogonal contrasts which result in an orthogonal subdivision of ...
C C, Li, S, Mazumdar
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Latent Change Classes in Dichotomous Data
Psychometrika, 2002Changes in dichotomous data caused by treatments can be analyzed by means of the so-called linear logistic model with relaxed assumptions (LLRA). The LLRA does not require observable criteria representing a single underlying latent trait, but it postulates the generalizability of the treatment effects over criteria and subjects.
Formann, Anton, Ponocny, Ivo
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Latent Variable Models of Dichotomous Data
Sociological Methods & Research, 1989This issue of Sociological Methods & Research contains four excellent illustrations of current methods for analyzing dichotomous data: dichotomous factor analysis (Muthén, 1989), latent trait analysis (Eaton et al., 1989), and grade of membership analysis (Woodbury and Manton, 1989).
RONALD SCHOENBERG, GERHARD ARMINGER
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When is Dichotomizing Network Data Problematic?
Academy of Management Proceedings, 2018We investigate the prevalence of, and empirical consequences associated with, dichotomizing network data.
Noah Eisenkraft, Salvatore Affinito
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Multiple Comparisons with Dichotomous Data
Journal of the American Statistical Association, 1976Abstract Statistical tests for the overall hypothesis of no difference among multiple groups of a dichotomous response experiment include the likelihood ratio, Pearson's X 2, Goodman's Y 2, and the analysis of variance (ANOVA) F. An empirical study is performed to evaluate these tests and the Bonferroni and maximal contrast methods of multiple ...
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Dichotomous Factor Analysis of Symptom Data
Sociological Methods & Research, 1989This article discusses how a factor model with continuous latent variables can be used to analyze a set of strongly skewed dichotomous items and how such a model can be used for classification of subjects. The suitability of the specification of normally distributed latent variables, as is assumed with the use of tetrachoric correlations, is ...
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Analysis of dichotomous outcome data for community intervention studies
Statistical Methods in Medical Research, 2000Community intervention trials are becoming increasingly popular as a tool for evaluating the effectiveness of health education and intervention strategies. Typically, units such as households, schools, towns, counties, are randomized to receive either intervention or control, then outcomes are measured on individuals within each of the units of ...
Bellamy, Scarlett L. +7 more
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Analysis of Dichotomous Response Data from Certain Toxicological Experiments
Biometrics, 1979In certain toxicological experiments with laboratory animals, littermate data are frequently encountered. It is generally recognized that one characteristic of this type of data is the "litter effect", i.e., the tendency for animals from the same litter to respond more alike than animals from different litters.
J K, Haseman, L L, Kupper
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