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Carpentras, Dino; Quayle, Michael – International Journal of Social Research Methodology, 2023
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…
Descriptors: Psychometrics, Error of Measurement, Models, Prediction
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Mthuli, Syanda Alpheous; Ruffin, Fayth; Singh, Nikita – International Journal of Social Research Methodology, 2022
Qualitative research sample size determination has always been a contentious and confusing issue. Studies are often vague when explaining the processes and justifications that have been used to determine sample size and strategy. Some provide no mention of sampling at all, whilst others rely too heavily on the concept of saturation for determining…
Descriptors: Qualitative Research, Sample Size, Sampling, Research Problems
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Dongho Shin – Grantee Submission, 2024
We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…
Descriptors: Bayesian Statistics, Computation, Hierarchical Linear Modeling, Data Analysis
Elizabeth A. D. Wacker; Shauna L. Rienks; Julie S. McCrae – Sage Research Methods Cases, 2018
Identifying effective literacy interventions for teachers of very young children is important, but it is not easy. In this case study, we share our experiences implementing a quasi-experimental evaluation of an early literacy program. We describe the design and context of the study and discuss three key issues that we encountered with data…
Descriptors: Literacy Education, Intervention, Program Effectiveness, Early Childhood Education
Du, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
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Rubenson, Kjell – International Review of Education, 2019
A quick review of national policy documents reveals how lifelong learning has evolved as the key principle for a comprehensive education and learning strategy from cradle to grave. This raises major challenges for how to assess and report the state of lifelong learning in UNESCO Member States. It is in this context that this article critically…
Descriptors: Lifelong Learning, Adult Education, Adult Learning, Adults
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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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Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2021
Large-scale assessments (LSAs) use Mislevy's "plausible value" (PV) approach to relate student proficiency to noncognitive variables administered in a background questionnaire. This method requires background variables to be completely observed, a requirement that is seldom fulfilled. In this article, we evaluate and compare the…
Descriptors: Data Analysis, Error of Measurement, Research Problems, Statistical Inference
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Cooper, Barry; Glaesser, Judith – Field Methods, 2016
We discuss a recent development in the set theoretic analysis of data sets characterized by limited diversity. Ragin, in developing his Qualitative Comparative Analysis (QCA), developed a standard analysis that produces parsimonious, intermediate, and complex Boolean solutions of truth tables. Schneider and Wagemann argue this standard analysis…
Descriptors: Qualitative Research, Comparative Analysis, Animal Husbandry, Conservation (Environment)
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Alper, Paul – Higher Education Review, 2014
In 1916 Robert Frost published his famous poem, "The Road Not Taken," in which he muses about what might have been had he chosen a different path, made a different choice. While counterfactual arguments in general can often lead to vacuous nowheres, frequently in statistics the data that are not presented actually exist, in a sense,…
Descriptors: Data Interpretation, Data Analysis, Error of Measurement, Theory Practice Relationship
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Berge, Maria; Ingerman, Åke – Research in Science & Technological Education, 2017
Background: In science education today, there is an emerging focus on what is happening in situ, making use of an array of analytical traditions. Common practice is to use one specific analytical framing within a research project, but there are projects that make use of multiple analytical framings to further the understanding of the same data,…
Descriptors: Group Discussion, Research Methodology, Educational Research, Science Education
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What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
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Azevedo, Roger – Educational Psychologist, 2015
Engagement is one of the most widely misused and overgeneralized constructs found in the educational, learning, instructional, and psychological sciences. The articles in this special issue represent a wide range of traditions and highlight several key conceptual, theoretical, methodological, and analytical issues related to defining and measuring…
Descriptors: Definitions, Learner Engagement, Science Achievement, Concept Formation
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Dombrowski, Stefan C.; Gischlar, Karen L. – Journal of Applied School Psychology, 2014
The authors encourage those in the field of school psychology to consider the use of learning disabilities assessment practices in relation to specific American Psychological Association and National Association of School Psychologists ethical codes and in regard to the American Educational Research Association, American Psychological Association,…
Descriptors: Learning Disabilities, Disability Identification, Ethics, School Psychology
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Tuttle, Christina Clark; Gleason, Philip; Clark, Melissa – Economics of Education Review, 2012
This paper draws on data and experiences observing and analyzing school lotteries from the National Evaluation of Charter School Impacts (Gleason et al., 2010) to describe the challenges associated with lottery-based research. In that study, covering 36 charter middle schools in 15 states, we found that charter schools did not affect student…
Descriptors: Charter Schools, Middle Schools, National Surveys, Evaluation Criteria
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