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Showing 1 to 15 of 48 results Save | Export
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Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
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Clintin P. Davis-Stober; Jason Dana; David Kellen; Sara D. McMullin; Wes Bonifay – Grantee Submission, 2023
Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…
Descriptors: Research Methodology, Sample Size, Effect Size, Hypothesis Testing
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Gerrit Bauer; Nate Breznau; Johanna Gereke; Jan H. Höffler; Nicole Janz; Rima-Maria Rahal; Joachim K. Rennstich; Hannah Soiné – Teaching of Psychology, 2025
Introduction: The replication crisis in the behavioral and social sciences spawned a credibility revolution, calling for new open science research practices that ensure greater transparency, including preregistrations, open data and code, and open access. Statement of the Problem: Replications of published research are an important element in this…
Descriptors: Teaching Methods, Replication (Evaluation), Behavioral Sciences, Social Sciences
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Jacobson, Michael J.; Levin, James A.; Kapur, Manu – Educational Researcher, 2019
Education is a complex system, which has conceptual and methodological implications for education research and policy. In this article, an overview is first provided of the Complex Systems Conceptual Framework for Learning (CSCFL), which consists of a set of conceptual perspectives that are generally shared by educational complex systems,…
Descriptors: Systems Approach, Group Behavior, Behavior, Educational Research
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Fugard, Andrew J. B.; Potts, Henry W. W. – International Journal of Social Research Methodology, 2015
Thematic analysis is frequently used to analyse qualitative data in psychology, healthcare, social research and beyond. An important stage in planning a study is determining how large a sample size may be required, however current guidelines for thematic analysis are varied, ranging from around 2 to over 400 and it is unclear how to choose a value…
Descriptors: Sample Size, Research Methodology, Qualitative Research, Computation
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Shtudiner, Ze'ev; Zwilling, Moti; Kantor, Jeffrey – International Journal of Educational Management, 2017
Purpose: The purpose of this paper is to measure student's preferences regarding various attributes that affect their decision process while choosing a higher education area of study. Design/ Methodology/Approach: The paper exhibits two different models which shed light on the perceived value of each examined area of study: conjoint analysis and…
Descriptors: Foreign Countries, College Students, Majors (Students), Specialization
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Kleinert, Whitney L.; Codding, Robin S.; Minami, Takuya; Gould, Kaitlin – Journal of Behavioral Education, 2018
Taped problems is an intervention strategy for addressing mathematics fluency that has been evaluated in multiple single-case design studies. Although its efficacy has been supported in individual studies, no comprehensive quantitative synthesis has been conducted on taped problems. The purpose of this study was to synthesize the literature that…
Descriptors: Meta Analysis, Intervention, Statistical Analysis, Literature Reviews
Raudenbush, Stephen W.; Bloom, Howard S. – MDRC, 2015
The present paper, which is intended for a diverse audience of evaluation researchers, applied social scientists, and research funders, provides a broad overview of the conceptual and statistical issues involved in using multisite randomized trials to learn "about" and "from" variation in program effects across…
Descriptors: Program Effectiveness, Research Methodology, Statistical Analysis, Differences
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Ilic, Ulas; Haseski, Halil Ibrahim; Tugtekin, Ufuk – Contemporary Educational Technology, 2018
The current study aimed to review studies on computational thinking (CT) indexed in Web of Science (WOS) and ERIC databases. A thorough search in electronic databases revealed 96 studies on computational thinking which were published between 2006 and 2016. Studies were exposed to a quantitative content analysis through using an article control…
Descriptors: Trend Analysis, Educational Trends, Periodicals, Databases
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Jarosz, Andrew F.; Wiley, Jennifer – Journal of Problem Solving, 2014
The purpose of this paper is to provide an easy template for the inclusion of the Bayes factor in reporting experimental results, particularly as a recommendation for articles in the "Journal of Problem Solving." The Bayes factor provides information with a similar purpose to the "p"-value--to allow the researcher to make…
Descriptors: Problem Solving, Bayesian Statistics, Statistical Inference, Computation
Acar, Selcuk; Sen, Sedat; Cayirdag, Nur – Gifted Child Quarterly, 2016
Current approaches to gifted identification suggest collecting multiple sources of evidence. Some gifted identification guidelines allow for the interchangeable use of "performance" and "nonperformance" identification methods. This multiple criteria approach lacks a strong overlap between the assessment tools; however,…
Descriptors: Academically Gifted, Talent Identification, Meta Analysis, Performance
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Beaujean, A. Alexander – Practical Assessment, Research & Evaluation, 2014
A common question asked by researchers using regression models is, What sample size is needed for my study? While there are formulae to estimate sample sizes, their assumptions are often not met in the collected data. A more realistic approach to sample size determination requires more information such as the model of interest, strength of the…
Descriptors: Regression (Statistics), Sample Size, Sampling, Monte Carlo Methods
Steenbergen-Hu, Saiying; Olszewski-Kubilius, Paula – Gifted Child Quarterly, 2016
This methodological brief introduces basic procedures and issues for conducting a high-quality meta-analysis in gifted education. Specifically, we discuss issues such as how to select a topic and formulate research problems, search for and identify qualified studies, code studies and extract data, choose and calculate effect sizes, analyze data,…
Descriptors: Meta Analysis, Academically Gifted, Research Methodology, Research Problems
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Shieh, Gwowen; Jan, Show-Li – Journal of Experimental Education, 2013
The authors examined 2 approaches for determining the required sample size of Welch's test for detecting equality of means when the greatest difference between any 2 group means is given. It is shown that the actual power obtained with the sample size of the suggested approach is consistently at least as great as the nominal power. However, the…
Descriptors: Sampling, Statistical Analysis, Computation, Research Methodology
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Long, Dallas – Journal of Access Services, 2014
This article serves as a primer for assessment and evaluation design by describing the range of methods commonly employed in library settings. Quantitative methods, such as counting and benchmarking measures, are useful for investigating the internal operations of an access services department in order to identify workflow inefficiencies or…
Descriptors: Evaluation Methods, Library Research, Library Services, Library Development
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