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Dittrich, Dino; Leenders, Roger Th. A. J.; Mulder, Joris – Sociological Methods & Research, 2019
Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…
Descriptors: Correlation, Bayesian Statistics, Networks, Evaluation Methods
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Dafoe, Allan – Sociological Methods & Research, 2018
Social scientists routinely address temporal dependence by adopting a simple technical fix. However, the correct identification strategy for a causal effect depends on causal assumptions. These need to be explicated and justified; almost no studies do so. This article addresses this shortcoming by offering a precise general statement of the…
Descriptors: Nonparametric Statistics, Influences, Social Science Research, Time
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Beach, Derek; Pedersen, Rasmus Brun – Sociological Methods & Research, 2018
The last decade has witnessed resurgence in the interest in studying the causal mechanisms linking causes and effects. This article games through the methodological consequences that adopting a systems understanding of mechanisms has for what types of cases we should select when using in-depth case study methods like process tracing. The article…
Descriptors: Influences, Case Studies, Systems Approach, Selection Criteria
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Beach, Derek – Sociological Methods & Research, 2018
This article explores the practical challenges one faces when combining qualitative comparative analysis (QCA) and process tracing (PT) in a manner that is consistent with their underlying assumptions about the nature of causal relationships. While PT builds on a mechanism-based understanding of causation, QCA as a comparative method makes claims…
Descriptors: Comparative Analysis, Mixed Methods Research, Research Methodology, Case Studies
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Mikkelsen, Kim Sass – Sociological Methods & Research, 2017
Contemporary case studies rely on verbal arguments and set theory to build or evaluate theoretical claims. While existing procedures excel in the use of qualitative information (information about kind), they ignore quantitative information (information about degree) at central points of the analysis. Effectively, contemporary case studies rely on…
Descriptors: Case Studies, Mathematical Models, Theories, Causal Models
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McCormick, Tyler H.; Lee, Hedwig; Cesare, Nina; Shojaie, Ali; Spiro, Emma S. – Sociological Methods & Research, 2017
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users--a key component of much social science research--remains a…
Descriptors: Social Media, Social Science Research, Reliability, Behavior Patterns
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Contini, Dalit; Grand, Elisa – Sociological Methods & Research, 2017
Despite the increasing spread of standardized assessments of student learning, longitudinal data on achievement data are still lacking in many countries. This article raises the following question: Can we exploit cross-sectional assessments held at different schooling stages to evaluate how achievement inequalities related to individual-ascribed…
Descriptors: Academic Achievement, Case Studies, Longitudinal Studies, Achievement Gap
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Møller, Jørgen; Skaaning, Svend-Erik – Sociological Methods & Research, 2017
Explanatory typologies have recently experienced a renaissance as a research strategy for constructing and assessing causal explanations. However, both the new methodological works on explanatory typologies and the way such typologies have been used in practice have been affected by two shortcomings. First, no elaborate procedures for assessing…
Descriptors: Classification, Case Studies, Evaluation Methods, Comparative Analysis
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Seawright, Jason – Sociological Methods & Research, 2016
Qualitative and multimethod scholars face a wide and often confusing array of alternatives for case selection using the results of a prior regression analysis. Methodologists have recommended alternatives including selection of typical cases, deviant cases, extreme cases on the independent variable, extreme cases on the dependent variable,…
Descriptors: Case Studies, Selection, Research Design, Social Science Research
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Weller, Nicholas; Barnes, Jeb – Sociological Methods & Research, 2016
The study of causal mechanisms interests scholars across the social sciences. Case studies can be a valuable tool in developing knowledge and hypotheses about how causal mechanisms function. The usefulness of case studies in the search for causal mechanisms depends on effective case selection, and there are few existing guidelines for selecting…
Descriptors: Causal Models, Case Studies, Comparative Analysis, Mixed Methods Research
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Herron, Michael C.; Quinn, Kevin M. – Sociological Methods & Research, 2016
Case studies appear prominently in political science, sociology, and other social science fields. A scholar employing a case study research design in an effort to estimate causal effects must confront the question, how should cases be selected for analysis? This question is important because the results derived from a case study research program…
Descriptors: Case Studies, Selection, Sampling, Research Design
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Nielsen, Richard A. – Sociological Methods & Research, 2016
This article shows how statistical matching methods can be used to select "most similar" cases for qualitative analysis. I first offer a methodological justification for research designs based on selecting most similar cases. I then discuss the applicability of existing matching methods to the task of selecting most similar cases and…
Descriptors: Case Studies, Selection, Research Design, Statistical Analysis
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Gerring, John; Cojocaru, Lee – Sociological Methods & Research, 2016
This study revisits the task of case selection in case study research, proposing a new typology of strategies that is explicit, disaggregated, and relatively comprehensive. A secondary goal is to explore the prospects for case selection by "algorithm," aka "ex ante," "automatic," "quantitative,"…
Descriptors: Case Studies, Selection, Research Design, Social Science Research
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Schneider, Carsten Q.; Rohlfing, Ingo – Sociological Methods & Research, 2016
Qualitative Comparative Analysis (QCA) is a method for cross-case analyses that works best when complemented with follow-up case studies focusing on the causal quality of the solution and its constitutive terms, the underlying causal mechanisms, and potentially omitted conditions. The anchorage of QCA in set theory demands criteria for follow-up…
Descriptors: Case Studies, Qualitative Research, Comparative Analysis, Causal Models