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Paek, Insu; Liang, Xinya; Lin, Zhongtian – Measurement: Interdisciplinary Research and Perspectives, 2021
The property of item parameter invariance in item response theory (IRT) plays a pivotal role in the applications of IRT such as test equating. The scope of parameter invariance when using estimates from finite biased samples in the applications of IRT does not appear to be clearly documented in the IRT literature. This article provides information…
Descriptors: Item Response Theory, Computation, Test Items, Bias
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Tyldum, Guri – International Journal of Social Research Methodology, 2021
Respondent-driven sampling (RDS) is a methodology for sampling and analysing survey data from rare and elusive populations that has gained increasing attention in migration research in recent years. Since its introduction in 1997, it has been applied in numerous surveys in the field of epidemiology (mainly for the estimation of HIV/AIDS prevalence…
Descriptors: Foreign Countries, Migrants, Surveys, Sampling
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Schnell, Rainer; Thomas, Kathrin – Sociological Methods & Research, 2023
This article provides a meta-analysis of studies using the crosswise model (CM) in estimating the prevalence of sensitive characteristics in different samples and populations. On a data set of 141 items published in 33 either articles or books, we compare the difference ([delta]) between estimates based on the CM and a direct question (DQ). The…
Descriptors: Meta Analysis, Models, Comparative Analysis, Publications
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Rudloff, Peter; Vinson, Laura Thaut – Sociological Methods & Research, 2023
This article details the challenges we faced in collecting sensitive information in an ethnically and religiously divided community that has experienced recent violence. The discussion is based on a summer 2016 survey experiment we conducted in Jos, Nigeria, to gather information regarding residents' perceptions of local communal violence. We…
Descriptors: Ethnicity, Conflict, Violence, Foreign Countries
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Stanley, T. D.; Doucouliagos, Hristos – Research Synthesis Methods, 2023
Partial correlation coefficients are often used as effect sizes in the meta-analysis and systematic review of multiple regression analysis research results. There are two well-known formulas for the variance and thereby for the standard error (SE) of partial correlation coefficients (PCC). One is considered the "correct" variance in the…
Descriptors: Correlation, Statistical Bias, Error Patterns, Error Correction
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Sweeting, Helen; Thomson, Hilary; Wells, Valerie; Flowers, Paul – Research Papers in Education, 2023
In recent decades, 'whole school' approaches to improving health have gained traction, based on settings-based health promotion understandings which view a setting, its actors and processes as an integrated 'whole' system with multiple intervention opportunities. Much less is known about 'whole institution' approaches to improving health in…
Descriptors: Holistic Approach, Health Promotion, Postsecondary Education, Publications
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Olanipekun, Oluwaseun L.; Zhao, JuLong; Wang, Rongdong; A. Sedory, Stephen; Singh, Sarjinder – Sociological Methods & Research, 2023
In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…
Descriptors: Correlation, Smoking, Thinking Skills, Health Behavior
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Sarah Staveteig Ford; Matthew Kirwin – International Journal of Social Research Methodology, 2023
International survey researchers are increasingly turning to a geospatial sampling approach known as gridded population sampling for finer resolution and a more updated sampling frame than conventional census-based sampling. To date, there have been no direct comparisons of accuracy between survey results derived from the two methods. This…
Descriptors: Accuracy, Sampling, Elections, Census Figures
Matthew Jannetti; Amy Carroll-Scott; Erikka Gilliam; Irene Headen; Maggie Beverly; Félice Lê-Scherban – Field Methods, 2023
Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…
Descriptors: Sampling, Probability, Definitions, Prediction
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Trafimow, David; Wang, Cong; Wang, Tonghui – Educational and Psychological Measurement, 2020
Previous researchers have proposed the a priori procedure, whereby the researcher specifies, prior to data collection, how closely she wishes the sample means to approach corresponding population means, and the degree of confidence of meeting the specification. However, an important limitation of previous research is that researchers sometimes are…
Descriptors: Sampling, Statistical Analysis, Equations (Mathematics), Differences
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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
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David Grant; Claude Messan Setodji; Gerald P. Hunter; Melissa Kay Diliberti; Heather L. Schwartz – RAND Corporation, 2024
The American School District Panel (ASDP) is a nationally representative set of more than 1,000 school district leaders who agree to take surveys over time. RAND recruits ASDP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national population of school districts and charter…
Descriptors: Teacher Surveys, Administrator Surveys, School Surveys, National Surveys
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Betsy Wolf – Society for Research on Educational Effectiveness, 2024
Introduction: The What Works Clearinghouse (WWC) reviews rigorous research on educational interventions with a goal of identifying "what works" and making that information accessible to educators and policymakers. The WWC has historically prioritized internal validity over external validity in rating the quality of research. One critique…
Descriptors: Educational Assessment, Educational Research, Validity, Research Utilization
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Król, Michal; Król, Magdalena E. – Cognitive Science, 2022
Existing research demonstrates that pre-decisional information sampling strategies are often stable within a given person while varying greatly across people. However, it remains largely unknown what drives these individual differences, that is, why in some circumstances we collect information more idiosyncratically. In this brief report, we…
Descriptors: Spatial Ability, Information Seeking, Sampling, Decision Making
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Donoghue, John R.; McClellan, Catherine A.; Hess, Melinda R. – ETS Research Report Series, 2022
When constructed-response items are administered for a second time, it is necessary to evaluate whether the current Time B administration's raters have drifted from the scoring of the original administration at Time A. To study this, Time A papers are sampled and rescored by Time B scorers. Commonly the scores are compared using the proportion of…
Descriptors: Item Response Theory, Test Construction, Scoring, Testing
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