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Baumgartner, Michael; Thiem, Alrik – Sociological Methods & Research, 2017

For many years, sociologists, political scientists, and management scholars have readily relied on Qualitative Comparative Analysis (QCA) for the purpose of configurational causal modeling. However, this article reveals that a severe problem in the application of QCA has gone unnoticed so far: model ambiguities. These arise when multiple causal…

Descriptors: Qualitative Research, Comparative Analysis, Causal Models, Ambiguity (Context)

Feng, Xiang-Nan; Wu, Hao-Tian; Song, Xin-Yuan – Sociological Methods & Research, 2017

We consider an ordinal regression model with latent variables to investigate the effects of observable and latent explanatory variables on the ordinal responses of interest. Each latent variable is characterized by correlated observed variables through a confirmatory factor analysis model. We develop a Bayesian adaptive lasso procedure to conduct…

Descriptors: Bayesian Statistics, Regression (Statistics), Models, Observation

Aviles, Natalie B.; Reed, Isaac Ariail – Sociological Methods & Research, 2017

Recently, sociologists have expended much effort in attempts to define social mechanisms. We intervene in these debates by proposing that sociologists in fact have a choice to make between three standards of what constitutes a good mechanistic explanation: substantial, formal, and metaphorical mechanistic explanation. All three standards are…

Descriptors: Sociology, Standards, Realism, Classification

Bértoa, Fernando Casal – Sociological Methods & Research, 2017

Although much has been written about the process of party system institutionalization in different regions, the reasons why some party systems institutionalize while others do not still remain a mystery. Seeking to fill this lacuna in the literature, and using a mixed-methods research approach, this article constitutes a first attempt to answer…

Descriptors: Mixed Methods Research, Politics, Democracy, Systems Development

Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017

Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…

Descriptors: Bayesian Statistics, Classification, Models, Correlation

Blozis, Shelley A.; Harring, Jeffrey R. – Sociological Methods & Research, 2017

Latent curve models have become a popular approach to the analysis of longitudinal data. At the individual level, the model expresses an individual's response as a linear combination of what are called "basis functions" that are common to all members of a population and weights that may vary among individuals. This article uses…

Descriptors: Statistical Analysis, Models, Calculus, Longitudinal Studies

Ghosh, Jaideep; Kshitij, Avinash – Sociological Methods & Research, 2017

This article introduces a number of methods that can be useful for examining the emergence of large-scale structures in collaboration networks. The study contributes to sociological research by investigating how clusters of research collaborators evolve and sometimes percolate in a collaboration network. Typically, we find that in our networks,…

Descriptors: Cooperation, Network Analysis, Sociology, Evaluation Methods

Aßmann, Christian; Würbach, Ariane; Goßmann, Solange; Geissler, Ferdinand; Bela, Anika – Sociological Methods & Research, 2017

Large-scale surveys typically exhibit data structures characterized by rich mutual dependencies between surveyed variables and individual-specific skip patterns. Despite high efforts in fieldwork and questionnaire design, missing values inevitably occur. One approach for handling missing values is to provide multiply imputed data sets, thus…

Descriptors: Nonparametric Statistics, Questionnaires, Statistical Analysis, National Surveys

Asún, Rodrigo A.; Rdz-Navarro, Karina; Alvarado, Jesús M. – Sociological Methods & Research, 2016

This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted…

Descriptors: Likert Scales, Item Analysis, Factor Analysis, Comparative Analysis

Zhou, Xiang; Xie, Yu – Sociological Methods & Research, 2016

Since the seminal introduction of the propensity score (PS) by Rosenbaum and Rubin, PS-based methods have been widely used for drawing causal inferences in the behavioral and social sciences. However, the PS approach depends on the ignorability assumption: there are no unobserved confounders once observed covariates are taken into account. For…

Descriptors: Probability, Statistical Inference, Comparative Analysis, Longitudinal Studies

Solanki, Ramkrishna S.; Singh, Housila P. – Sociological Methods & Research, 2016

In this article, first we obtained the correct mean square error expression of Gupta and Shabbir's linear weighted estimator of the ratio of two population proportions. Later we suggested the general class of ratio estimators of two population proportions. The usual ratio estimator, Wynn-type estimator, Singh, Singh, and Kaur difference-type…

Descriptors: Computation, Mathematical Concepts, Generalization, Statistical Analysis

Yamaguchi, Kazuo – Sociological Methods & Research, 2016

This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…

Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)

Bulle, Nathalie – Sociological Methods & Research, 2016

To explain the inequalities in access to a discrete good G across two populations, or across time in a single national context, it is necessary to distinguish, for each population or period of time, the effect of the diffusion of G from that of unequal outcomes of underlying micro-social processes. The inequality of outcomes of these micro-social…

Descriptors: Measurement Techniques, Justice, Equal Education, Foreign Countries

Lee, Myoung-jae – Sociological Methods & Research, 2016

With one treated and one untreated periods, difference in differences (DD) requires the untreated response changes to be the same across the treatment and control groups, if the treatment were withheld contrary to the fact. A natural way to check the condition is to backtrack one period and examine the response changes in two pretreatment periods.…

Descriptors: Least Squares Statistics, Control Groups, Generalization, Models

Miles, Andrew – Sociological Methods & Research, 2016

Obtaining predictions from regression models fit to multiply imputed data can be challenging because treatments of multiple imputation seldom give clear guidance on how predictions can be calculated, and because available software often does not have built-in routines for performing the necessary calculations. This research note reviews how…

Descriptors: Prediction, Regression (Statistics), Data, Surveys