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Baumgartner, Michael; Thiem, Alrik – Sociological Methods & Research, 2020
To date, hundreds of researchers have employed the method of Qualitative Comparative Analysis (QCA) for the purpose of causal inference. In a recent series of simulation studies, however, several authors have questioned the correctness of QCA in this connection. Some prominent representatives of the method have replied in turn that simulations…
Descriptors: Qualitative Research, Comparative Analysis, Inferences, Evaluation Criteria
Leszczensky, Lars; Wolbring, Tobias – Sociological Methods & Research, 2022
Does "X" affect "Y"? Answering this question is particularly difficult if reverse causality is looming. Many social scientists turn to panel data to address such questions of causal ordering. Yet even in longitudinal analyses, reverse causality threatens causal inference based on conventional panel models. Whereas the…
Descriptors: Attribution Theory, Causal Models, Comparative Analysis, Statistical Bias
Kuha, Jouni; Mills, Colin – Sociological Methods & Research, 2020
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…
Descriptors: Comparative Analysis, Regression (Statistics), Research Problems, Computation
Damian, Elena; Meuleman, Bart; van Oorschot, Wim – Sociological Methods & Research, 2022
In this article, we examine whether cross-national studies disclose enough information for independent researchers to evaluate the validity and reliability of the findings (evaluation transparency) or to perform a direct replication (replicability transparency). The first contribution is theoretical. We develop a heuristic theoretical model…
Descriptors: National Surveys, Cross Cultural Studies, Social Science Research, Periodicals
Arel-Bundock, Vincent – Sociological Methods & Research, 2022
Qualitative comparative analysis (QCA) is an influential methodological approach motivated by set theory and boolean logic. QCA proponents have developed algorithms to analyze quantitative data, in a bid to uncover necessary and sufficient conditions where causal relationships are complex, conditional, or asymmetric. This article uses computer…
Descriptors: Comparative Analysis, Qualitative Research, Attribution Theory, Computer Simulation
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Møller, Jørgen – Sociological Methods & Research, 2016
The use of controlled comparisons pervades comparative historical analysis. Heated debates have surrounded the methodological purchase of such comparisons. However, the quality and validity of the conceptual building blocks on which the comparisons are based have largely been ignored. This article discusses a particular problem pertaining to these…
Descriptors: Comparative Analysis, History, Evaluation Methods, Validity

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