NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers2
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 27 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kappelhof, Johannes W. S.; De Leeuw, Edith D. – Sociological Methods & Research, 2019
This study investigates the impact of different modes and tailor-made response enhancing measures (TMREM)--such as bilingual interviewers with a shared ethnic background and translated questionnaires--on the measurement of substantive variables in surveys among minority ethnic groups in the Netherlands. It also provides insight into the ability to…
Descriptors: Foreign Countries, Minority Groups, Ethnic Groups, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Michael Lee; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2019
In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more…
Descriptors: Scores, Surveys, Responses, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Fondevila-McDonald, Yvonne; Molinero-Ruiz, Emília; Vergara-Duarte, Montse; Guillén, Montserrat; Ollé-Espluga, Laia; Menéndez, María; Benach, Joan – Sociological Methods & Research, 2019
Information quality deficiencies have been detected in occupational safety and health surveys in Europe, which typically gather self-reported data responded by employers or their representatives. For instance, their low response rates and informant profiles make estimations on establishments with safety representatives (SRs) unreliable. We tested…
Descriptors: Computation, Occupational Safety and Health, Surveys, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Shi, Yongren; Cameron, Christopher J.; Heckathorn, Douglas D. – Sociological Methods & Research, 2019
Respondent-driven sampling (RDS), a link-tracing sampling and inference method for studying hard-to-reach populations, has been shown to produce asymptotically unbiased population estimates when its assumptions are satisfied. However, some of the assumptions are prohibitively difficult to reach in the field, and the violation of a crucial…
Descriptors: Statistical Inference, Bias, Recruitment, Sampling
Peer reviewed Peer reviewed
Direct linkDirect link
Young, Cristobal – Sociological Methods & Research, 2019
The commenter's proposal may be a reasonable method for addressing uncertainty in predictive modeling, where the goal is to predict "y." In a treatment effects framework, where the goal is causal inference by conditioning-on-observables, the commenter's proposal is deeply flawed. The proposal (1) ignores the definition of…
Descriptors: Causal Models, Predictor Variables, Research Methodology, Ambiguity (Context)
Peer reviewed Peer reviewed
Direct linkDirect link
Klima, André; Schlesinger, Thomas; Thurner, Paul W.; Küchenhoff, Helmut – Sociological Methods & Research, 2019
Our objective is the estimation of voter transitions between two consecutive parliamentary elections. Usually, such analyses have been based either on individual survey data or on aggregated data. To move beyond these methods and their respective problems, we propose the application of so-called hybrid models, which combine aggregate and…
Descriptors: Foreign Countries, Voting, Computation, Elections
Peer reviewed Peer reviewed
Direct linkDirect link
Slez, Adam – Sociological Methods & Research, 2019
Young and Holsteen (YH) introduce a number of tools for evaluating model uncertainty. In so doing, they are careful to differentiate their method from existing forms of model averaging. The fundamental difference lies in the way in which the underlying estimates are weighted. Whereas standard approaches to model averaging assign higher weight to…
Descriptors: Research Methodology, Models, Ambiguity (Context), Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Torche, Florencia; Corvalan, Alejandro – Sociological Methods & Research, 2018
This article distinguishes three measures of intergenerational economic mobility that emerge when the population is divided into groups: overall individual mobility, within-group mobility, and between-group mobility. We clarify their properties and the relationship between them. We then evaluate Clark's use of surname between-group persistence as…
Descriptors: Social Mobility, Computation, Generational Differences, Persistence
Peer reviewed Peer reviewed
Direct linkDirect link
Browne, Matthew; Rockloff, Matthew; Rawat, Vijay – Sociological Methods & Research, 2018
Development and refinement of self-report measures generally involves selecting a subset of indicators from a larger set. Despite the importance of this task, methods applied to accomplish this are often idiosyncratic and ad hoc, or based on incomplete statistical criteria. We describe a structural equation modeling (SEM)-based technique, based on…
Descriptors: Structural Equation Models, Scaling, Evaluation Criteria, Psychometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Muñoz, J. F.; Álvarez-Verdejo, E.; García-Fernández, R. M. – Sociological Methods & Research, 2018
Many poverty measures are estimated by using sample data collected from social surveys. Two examples are the poverty gap and the poverty severity indices. A novel method for the estimation of these poverty indicators is described. Social surveys usually contain different variables, some of which can be used to improve the estimation of poverty…
Descriptors: Poverty, Simulation, Income, Socioeconomic Status
Peer reviewed Peer reviewed
Direct linkDirect link
Biggs, Michael – Sociological Methods & Research, 2018
Since the 1970s, catalogs of protest events have been at the heart of research on social movements. To measure how protest changes over time or varies across space, sociologists usually count the frequency of events, as either the dependent variable or a key independent variable. An alternative is to count the number of participants in protest.…
Descriptors: Activism, Strikes, Civil Disobedience, Violence
Peer reviewed Peer reviewed
Direct linkDirect link
Vaisey, Stephen; Miles, Andrew – Sociological Methods & Research, 2017
The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We…
Descriptors: Surveys, Data, Statistical Analysis, Models
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
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
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
Previous Page | Next Page »
Pages: 1  |  2