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Møller, Jørgen; Skaaning, Svend-Erik – Sociological Methods & Research, 2021
The historical turn in social science has prompted scholars to engage with the work of historians on a large scale. Here, social scientists face two standard problems of selection bias: confirmation bias and convenience sampling. So far, the record of dealing with these problems has been poor, and little has been done to specify how social…
Descriptors: Historians, Bias, Sampling, Research Problems
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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
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Su, Dan; Steiner, Peter M. – Sociological Methods & Research, 2020
Factorial surveys use a population of vignettes to elicit respondents' attitudes or beliefs about different hypothetical scenarios. However, the vignette population is frequently too large to be assessed by each respondent. Experimental designs such as randomized block confounded factorial (RBCF) designs, D-optimal designs, or random sampling…
Descriptors: Surveys, Vignettes, Factor Analysis, Research Design
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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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Smith, Jeffrey A.; Burow, Jessica – Sociological Methods & Research, 2020
Agent-based modeling holds great potential as an analytical tool. Agent-based models (ABMs) are, however, also vulnerable to critique, as they often employ stylized social worlds, with little connection to the actual environment in question. Given these concerns, there has been a recent call to more fully incorporate empirical data into ABMs. This…
Descriptors: Simulation, Models, Networks, Cultural Influences
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Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
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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
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Adang, Otto M. J. – Sociological Methods & Research, 2018
The article outlines a methodology for systematically observing collective violence (and public order policing in relation to it). Specific attention is given to matters of sampling and measurement and to the way in which observational challenges have been met in comparison with participant observational studies of demonstrations and football…
Descriptors: Observation, Violence, Law Enforcement, Research Methodology
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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Beyerlein, Kraig; Barwis, Peter; Crubaugh, Bryant; Carnesecca, Cole – Sociological Methods & Research, 2018
The National Study of Protest Events (NSPE) employed hypernetwork sampling to generate the first-ever nationally representative sample of protest events. Nearly complete information about various event characteristics was collected from participants in 1,037 unique protests across the United States in 2010 to 2011. The first part of this article…
Descriptors: Activism, National Surveys, Sampling, Comparative Analysis
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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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Herron, Michael C.; Quinn, Kevin M. – Sociological Methods & Research, 2016
Case studies appear prominently in political science, sociology, and other social science fields. A scholar employing a case study research design in an effort to estimate causal effects must confront the question, how should cases be selected for analysis? This question is important because the results derived from a case study research program…
Descriptors: Case Studies, Selection, Sampling, Research Design
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An, Weihua – Sociological Methods & Research, 2016
One interesting idea in social network analysis is the directionality test that utilizes the directions of social ties to help identify peer effects. The null hypothesis of the test is that if contextual factors are the only force that affects peer outcomes, the estimated peer effects should not differ, if the directions of social ties are…
Descriptors: Peer Relationship, Social Networks, Statistical Analysis, Network Analysis
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Mazza, Angelo; Punzo, Antonio – Sociological Methods & Research, 2015
The dissimilarity index of Duncan and Duncan is widely used in a broad range of contexts to assess the overall extent of segregation in the allocation of two groups in two or more units. Its sensitivity to random allocation implies an upward bias with respect to the unknown amount of systematic segregation. In this article, following a multinomial…
Descriptors: Statistical Bias, Error of Measurement, Error Correction, Mathematical Logic
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Singh, Housila P.; Tarray, Tanveer A. – Sociological Methods & Research, 2015
In this article, we have suggested a new modified mixed randomized response (RR) model and studied its properties. It is shown that the proposed mixed RR model is always more efficient than the Kim and Warde's mixed RR model. The proposed mixed RR model has also been extended to stratified sampling. Numerical illustrations and graphical…
Descriptors: Item Response Theory, Models, Efficiency, Comparative Analysis