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Showing 76 to 90 of 163 results Save | Export
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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
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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
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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
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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
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Pearl, Judea – Sociological Methods & Research, 2017
We address the task of determining, from statistical averages alone, whether a population under study consists of several subpopulations, unknown to the investigator, each responding to a given treatment markedly differently. We show that such determination is feasible in three cases: (1) randomized trials with binary treatments, (2) models where…
Descriptors: Statistical Analysis, Models, Social Science Research, Randomized Controlled Trials
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Brenner, Philip S. – Sociological Methods & Research, 2017
That rates of normative behaviors produced by sample surveys are higher than actual behavior warrants is well evidenced in the research literature. Less well understood is the source of this error. Twenty-five cognitive interviews were conducted to probe responses to a set of common, conventional survey questions about one such normative behavior:…
Descriptors: Interviews, Surveys, Religion, Religious Factors
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Tarray, Tanveer A.; Singh, Housila P.; Yan, Zaizai – Sociological Methods & Research, 2017
This article addresses the problem of estimating the proportion Pi[subscript S] of the population belonging to a sensitive group using optional randomized response technique in stratified sampling based on Mangat model that has proportional and Neyman allocation and larger gain in efficiency. Numerically, it is found that the suggested model is…
Descriptors: Models, Efficiency, Sampling, Research Problems
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Hidalgo, Ma Dolores; Benítez, Isabel; Padilla, Jose-Luis; Gómez-Benito, Juana – Sociological Methods & Research, 2017
The growing use of scales in survey questionnaires warrants the need to address how does polytomous differential item functioning (DIF) affect observed scale score comparisons. The aim of this study is to investigate the impact of DIF on the type I error and effect size of the independent samples t-test on the observed total scale scores. A…
Descriptors: Test Items, Test Bias, Item Response Theory, Surveys
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McCormick, Tyler H.; Lee, Hedwig; Cesare, Nina; Shojaie, Ali; Spiro, Emma S. – Sociological Methods & Research, 2017
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users--a key component of much social science research--remains a…
Descriptors: Social Media, Social Science Research, Reliability, Behavior Patterns
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
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Mikkelsen, Kim Sass – Sociological Methods & Research, 2017
The combined usage of qualitative comparative analysis (QCA) and process tracing (PT) in set-theoretic multi-method research (MMR) holds great potential for reaching valid inferences. Established views of case selection after QCA hold that studying negative cases provides lessons about the causes of an outcome in a limited set of circumstances. In…
Descriptors: Mixed Methods Research, Comparative Analysis, Theories, Inferences
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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
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Møller, Jørgen; Skaaning, Svend-Erik – Sociological Methods & Research, 2017
Explanatory typologies have recently experienced a renaissance as a research strategy for constructing and assessing causal explanations. However, both the new methodological works on explanatory typologies and the way such typologies have been used in practice have been affected by two shortcomings. First, no elaborate procedures for assessing…
Descriptors: Classification, Case Studies, Evaluation Methods, Comparative Analysis
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Lohr, Sharon L.; Zhu, Xiaoshu – Sociological Methods & Research, 2017
Many randomized experiments in the social sciences allocate subjects to treatment arms at the time the subjects enroll. Desirable features of the mechanism used to assign subjects to treatment arms are often (1) equal numbers of subjects in intervention and control arms, (2) balanced allocation for population subgroups and across covariates, (3)…
Descriptors: Social Science Research, Randomized Controlled Trials, Research Design, Computer Software
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DiGrazia, Joseph – Sociological Methods & Research, 2017
This study proposes using Internet search data from search engines like Google to produce state-level metrics that are useful in social science research. Generally, state-level research relies on demographic statistics, official statistics produced by government agencies, or aggregated survey data. However, each of these data sources has serious…
Descriptors: Search Engines, Political Attitudes, Immigrants, Public Policy
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