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Müller, Bettina; Castiglioni, Laura – Sociological Methods & Research, 2020

In the context of cross-sectional surveys, the scope of research on the impact of response enhancing strategies on sample composition and nonresponse bias is vast. This topic has rarely been addressed for panel studies, however, although these are becoming an increasingly important data source in social research. In this article, we evaluate the…

Descriptors: Foreign Countries, Surveys, Dropouts, Longitudinal Studies

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

Martínez, Sergio; Rueda, Maria; Arcos, Antonio; Martínez, Helena – Sociological Methods & Research, 2020

This article discusses the estimation of a population proportion, using the auxiliary information available, which is incorporated into the estimation procedure by a probit model fit. Three probit regression estimators are considered, using model-based and model-assisted approaches. The theoretical properties of the proposed estimators are derived…

Descriptors: Computation, Regression (Statistics), Statistical Analysis, Population Groups

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

Hemmert, Giselmar A. J.; Schons, Laura M.; Wieseke, Jan; Schimmelpfennig, Heiko – Sociological Methods & Research, 2018

The literature proposes numerous so-called pseudo-R[superscript 2] measures for evaluating "goodness of fit" in regression models with categorical dependent variables. Unlike ordinary least square-R[superscript 2], log-likelihood-based pseudo-R[superscript 2]s do not represent the proportion of explained variance but rather the…

Descriptors: Regression (Statistics), Sample Size, Predictor Variables, Benchmarking

Vuolo, Mike – Sociological Methods & Research, 2017

Often in sociology, researchers are confronted with nonnormal variables whose joint distribution they wish to explore. Yet, assumptions of common measures of dependence can fail or estimating such dependence is computationally intensive. This article presents the copula method for modeling the joint distribution of two random variables, including…

Descriptors: Sociology, Research Methodology, Social Science Research, Models

Buis, Maarten L. – Sociological Methods & Research, 2017

This article deals with a model for describing a sequence of events, for example, education is typically attained by a set of transitions from one level of education to the next. In particular, this article tries to reconcile measures describing the effect of a variable on each of these transitions, with measures describing the effect of this…

Descriptors: Models, Measurement Techniques, Regression (Statistics), Sequential Approach

Steiner, Peter M.; Kim, Yongnam; Hall, Courtney E.; Su, Dan – Sociological Methods & Research, 2017

Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand…

Descriptors: Graphs, Causal Models, Quasiexperimental Design, Randomized Controlled Trials

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

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

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

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

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)

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

Case Studies Nested in Fuzzy-Set QCA on Sufficiency: Formalizing Case Selection and Causal Inference

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

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