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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
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Uhrig, S. C. Noah; Watson, Nicole – Sociological Methods & Research, 2020
Test-retest reliability assessments rarely investigate whether reliability itself is stable or change in reliability affects findings from substantive models. Research across the social sciences often recognizes that measurement error could influence results, yet it rarely applies established error correction methods. Focusing on gender wage…
Descriptors: Error of Measurement, Wages, National Surveys, Foreign Countries
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von Hippel, Paul T. – Sociological Methods & Research, 2020
When using multiple imputation, users often want to know how many imputations they need. An old answer is that 2-10 imputations usually suffice, but this recommendation only addresses the efficiency of point estimates. You may need more imputations if, in addition to efficient point estimates, you also want standard error (SE) estimates that would…
Descriptors: Computation, Error of Measurement, Data Analysis, Children
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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
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
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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
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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
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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
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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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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
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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
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Cernat, Alexandru – Sociological Methods & Research, 2015
Mixed-mode designs are increasingly important in surveys, and large longitudinal studies are progressively moving to or considering such a design. In this context, our knowledge regarding the impact of mixing modes on data quality indicators in longitudinal studies is sparse. This study tries to ameliorate this situation by taking advantage of a…
Descriptors: Research Methodology, Longitudinal Studies, Quasiexperimental Design, Surveys
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Pendleton, Brian F.; And Others – Sociological Methods and Research, 1979
Sociological and demographic research often uses variables computed as ratios. When the denominators are highly correlated, and the ratios are used in correlation or regression analysis, a statistical dependency is formed. This article investigates this problem, particularly with respect to partial correlation, multiple regression, and the…
Descriptors: Change, Correlation, Critical Path Method, Longitudinal Studies
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Angle, John – Sociological Methods and Research, 1979
This paper poses a research question about how a person's work experience affects his or her earnings and shows how the Cumulative Experience Method (CEM) can provide an answer to the question using all available information in a longitudinal data set. (Author/GDC)
Descriptors: Experience, Income, Longitudinal Studies, Mathematical Models