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Galvin, Daniel J.; Seawright, Jason N. – Sociological Methods & Research, 2023
Scholarship on multimethod case selection in the social sciences has developed rapidly in recent years, but many possibilities remain unexplored. This essay introduces an attractive and advantageous new alternative, involving the selection of extreme cases on the treatment variable, net of the statistical influence of the set of known control…
Descriptors: Social Sciences, Predictor Variables, Statistics, Labor Legislation
Young, Cristobal – Sociological Methods & Research, 2019
The commenter's proposal may be a reasonable method for addressing uncertainty in predictive modeling, where the goal is to predict "y." In a treatment effects framework, where the goal is causal inference by conditioning-on-observables, the commenter's proposal is deeply flawed. The proposal (1) ignores the definition of…
Descriptors: Causal Models, Predictor Variables, Research Methodology, Ambiguity (Context)
Davidov, Eldad; Dülmer, Hermann; Cieciuch, Jan; Kuntz, Anabel; Seddig, Daniel; Schmidt, Peter – Sociological Methods & Research, 2018
It is necessary to test for equivalence of measurements across groups to guarantee that comparisons of regression coefficients or mean scores of a latent factor are meaningful. Unfortunately, when tested, many scales display nonequivalence. Several researchers have suggested that nonequivalence may be used as a useful source of information as to…
Descriptors: Structural Equation Models, Multivariate Analysis, Social Science Research, Attitude Measures