NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers3
Laws, Policies, & Programs
Education Act 1944 (England)1
What Works Clearinghouse Rating
Showing 91 to 105 of 189 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Bail, Christopher A. – Sociological Methods & Research, 2017
Social media websites such as Facebook and Twitter provide an unprecedented amount of qualitative data about organizations and collective behavior. Yet these new data sources lack critical information about the broader social context of collective behavior--or protect it behind strict privacy barriers. In this article, I introduce social media…
Descriptors: Data Collection, Social Media, Behavior, Surveys
Peer reviewed Peer reviewed
Direct linkDirect link
Vriens, Ingrid; Moors, Guy; Gelissen, John; Vermunt, Jeroen K. – Sociological Methods & Research, 2017
Measuring values in sociological research sometimes involves the use of ranking data. A disadvantage of a ranking assignment is that the order in which the items are presented might influence the choice preferences of respondents regardless of the content being measured. The standard procedure to rule out such effects is to randomize the order of…
Descriptors: Evaluation Methods, Social Science Research, Sociology, Structural Equation Models
Peer reviewed Peer reviewed
Direct linkDirect link
Halpern-Manners, Andrew; Warren, John Robert; Torche, Florencia – Sociological Methods & Research, 2017
Does participation in one wave of a survey have an effect on respondents' answers to questions in subsequent waves? In this article, we investigate the presence and magnitude of "panel conditioning" effects in one of the most frequently used data sets in the social sciences: the General Social Survey (GSS). Using longitudinal records…
Descriptors: Surveys, Participation, Conditioning, Test Wiseness
Peer reviewed Peer reviewed
Direct linkDirect link
Piccarreta, Raffaella – Sociological Methods & Research, 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…
Descriptors: Data Analysis, Multivariate Analysis, Social Science Research, Factor Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
An, Weihua; Winship, Christopher – Sociological Methods & Research, 2017
In this article, we review popular parametric models for analyzing panel data and introduce the latest advances in matching methods for panel data analysis. To the extent that the parametric models and the matching methods offer distinct advantages for drawing causal inference, we suggest using both to cross-validate the evidence. We demonstrate…
Descriptors: Causal Models, Statistical Inference, Interviews, Race
Peer reviewed Peer reviewed
Direct linkDirect link
Young, Cristobal; Holsteen, Katherine – Sociological Methods & Research, 2017
Model uncertainty is pervasive in social science. A key question is how robust empirical results are to sensible changes in model specification. We present a new approach and applied statistical software for computational multimodel analysis. Our approach proceeds in two steps: First, we estimate the modeling distribution of estimates across all…
Descriptors: Models, Ambiguity (Context), Robustness (Statistics), Social Science Research
Peer reviewed Peer reviewed
Direct linkDirect link
Slez, Adam; O'Connell, Heather A.; Curtis, Katherine J. – Sociological Methods & Research, 2017
Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…
Descriptors: Data, Data Processing, Geographic Information Systems, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Braumoeller, Bear F. – Sociological Methods & Research, 2017
Fuzzy-set qualitative comparative analysis (fsQCA) has become one of the most prominent methods in the social sciences for capturing causal complexity, especially for scholars with small- and medium-"N" data sets. This research note explores two key assumptions in fsQCA's methodology for testing for necessary and sufficient…
Descriptors: Qualitative Research, Comparative Analysis, Social Science Research, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Klausch, Thomas; Schouten, Barry; Hox, Joop J. – Sociological Methods & Research, 2017
This study evaluated three types of bias--total, measurement, and selection bias (SB)--in three sequential mixed-mode designs of the Dutch Crime Victimization Survey: telephone, mail, and web, where nonrespondents were followed up face-to-face (F2F). In the absence of true scores, all biases were estimated as mode effects against two different…
Descriptors: Evaluation Methods, Statistical Bias, Sequential Approach, Benchmarking
Peer reviewed Peer reviewed
Direct linkDirect link
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Auspurg, Katrin; Jäckle, Annette – Sociological Methods & Research, 2017
To measure what determines people's attitudes, definitions, or decisions, surveys increasingly ask respondents to judge vignettes. A vignette typically describes a hypothetical situation or object as having various attributes (dimensions). In factorial surveys, the values (levels) of dimensions are experimentally varied, so that their impact on…
Descriptors: Vignettes, Correlation, Online Surveys, Student Surveys
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12  |  13