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Showing 1 to 15 of 48 results Save | Export
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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
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Davydov, Youri; Greselin, Francesca – Sociological Methods & Research, 2020
The observed increase in economic inequality, where the major concern is relative to the huge growth of the highest incomes, motivates to revisit classical measures of inequality and to offer new ways to synthesize the variability of the entire income distribution. The idea is to provide policy makers a way to contrast the economic position of the…
Descriptors: Social Differences, Poverty, Advantaged, Measurement Techniques
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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
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Veri, Francesco – Sociological Methods & Research, 2020
This article aims to clarify the fundamental aspects of aggregating fuzzy scores of conditions with multiple attributes in fuzzy set qualitative comparative analysis (fsQCA). Fuzzy multiple attribute conditions (FMACs) are conditions that are built using different types of concepts. FMACs are flexible conditions that express the ontological nature…
Descriptors: Qualitative Research, Comparative Analysis, Computation, Scores
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Thomann, Eva; Maggetti, Martino – Sociological Methods & Research, 2020
Recent years have witnessed a host of innovations for conducting research with qualitative comparative analysis (QCA). Concurrently, important issues surrounding its uses have been highlighted. In this article, we seek to help users design QCA studies. We argue that establishing inference with QCA involves three intertwined design components:…
Descriptors: Qualitative Research, Comparative Analysis, Research Design, Validity
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Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
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Gummer, Tobias – Sociological Methods & Research, 2019
Survey research is still confronted by a trend of increasing nonresponse rates. In this context, several methodological advances have been made to stimulate participation and avoid bias. Yet, despite the growing number of tools and methods to deal with nonresponse, little is known about whether nonresponse biases show similar trends as nonresponse…
Descriptors: Bias, Surveys, Foreign Countries, Response Rates (Questionnaires)
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Block, Per; Stadtfeld, Christoph; Snijders, Tom A. B. – Sociological Methods & Research, 2019
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that…
Descriptors: Statistical Analysis, Social Networks, Models, Network Analysis
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Jerolmack, Colin; Murphy, Alexandra K. – Sociological Methods & Research, 2019
Masking, the practice of hiding or distorting identifying information about people, places, and organizations, is usually considered a requisite feature of ethnographic research and writing. This is justified both as an ethical obligation to one's subjects and as a scientifically neutral position (as readers are enjoined to treat a case's…
Descriptors: Ethics, Ethnography, Sociology, Social Science Research
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Elzinga, Cees H.; Studer, Matthias – Sociological Methods & Research, 2019
We explore the relations between the notion of distance and a feature set--based concept of similarity and show that this concept of similarity has a spatial interpretation that is complementary to distance: it is interpreted as "direction." Furthermore, we show how proper normalization leads to distances that can be directly interpreted…
Descriptors: Proximity, Age Differences, Norms, Foreign Countries
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Fullerton, Andrew S.; Xu, Jun – Sociological Methods & Research, 2018
Adjacent category logit models are ordered regression models that focus on comparisons of adjacent categories. These models are particularly useful for ordinal response variables with categories that are of substantive interest. In this article, we consider unconstrained and constrained versions of the partial adjacent category logit model, which…
Descriptors: Regression (Statistics), Models, Classification, Comparative Analysis
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Legleye, Stéphane; Charrance, Géraldine; Razafindratsima, Nicolas; Bajos, Nathalie; Bohet, Aline; Moreau, Caroline – Sociological Methods & Research, 2018
Background: Reliability of nonprobability online volunteer panels for epidemiological purposes has rarely been studied. Objectives: To assess the quality of a questionnaire on sexual and reproductive health (SRH) administered in a nonprobability Web panel and in a random telephone survey (n = 8,992; n = 8,437, age 16-49 years). Especially, we were…
Descriptors: Sexuality, Birth, Questionnaires, Adolescents
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Grané, Aurea; Romera, Rosario – Sociological Methods & Research, 2018
Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…
Descriptors: Surveys, Data, Multidimensional Scaling, Robustness (Statistics)
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Vis, Barbara; Dul, Jan – Sociological Methods & Research, 2018
Analyzing relationships of necessity is important for both scholarly and applied research questions in the social sciences. An often-used technique for identifying such relationships--"fuzzy set Qualitative Comparative Analysis" (fsQCA)--has limited ability to make the most out of the data used. The set-theoretical technique fsQCA makes…
Descriptors: Qualitative Research, Comparative Analysis, Social Science Research, Theories
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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
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