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Showing 1 to 15 of 16 results Save | Export
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Wendy Chan; Jimin Oh; Katherine J. Strickland – Society for Research on Educational Effectiveness, 2025
Background: The generalizability of a study refers to the extent to which the results and inferences from a sample apply to individuals in a larger target population of inference (Shadish et al., 2002). In practice, the strongest tool to facilitate generalizations is random or probability sampling, which is rare in educational studies (Olsen et…
Descriptors: Generalization, Sampling, Statistical Distributions, Statistical Analysis
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Fangxing Bai; Ben Kelcey; Amota Ataneka; Yanli Xie; Kyle Cox; Nianbo Dong – Society for Research on Educational Effectiveness, 2025
Background: Multisite designs, also known as blocked designs, are experimental designs in which the random assignment of treatment and control conditions is within each site (or block) after the random selection of sites (or blocks). Multisite designs exhibit remarkable adaptability and, statistically, it can maintain a rigorous basis for…
Descriptors: Statistical Analysis, Research Design, Sampling, Sample Size
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Yan Xia; Xinchang Zhou – Educational and Psychological Measurement, 2025
Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…
Descriptors: Factor Analysis, Statistical Analysis, Evaluation Methods, Sampling
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Fangxing Bai; Ben Kelcey; Yanli Xie; Kyle Cox – Journal of Experimental Education, 2025
Prior research has suggested that clustered regression discontinuity designs are a formidable alternative to cluster randomized designs because they provide targeted treatment assignment while maintaining a high-quality basis for inferences on local treatment effects. However, methods for the design and analysis of clustered regression…
Descriptors: Regression (Statistics), Statistical Analysis, Research Design, Educational Research
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David Grant; Phoebe Rose Levine; Anna Shapiro; Elizabeth D. Steiner; Ashley Woo; Jill S. Cannon; Christopher Joseph Doss; Lynn A. Karoly; Emma B. Kassan – RAND Corporation, 2025
This technical report provides detailed information about the sample, survey instruments, and resultant data for the Fall 2024 Pre-Kindergarten Teacher Survey (PKTS) which was administered via RAND's American Teacher Panel (ATP). The ATP is a nationally representative sample of public school teachers and part of the broader American Educator…
Descriptors: Preschool Teachers, Public School Teachers, Teacher Surveys, Data Collection
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Sean McGrath; XiaoFei Zhao; Omer Ozturk; Stephan Katzenschlager; Russell Steele; Andrea Benedetti – Research Synthesis Methods, 2024
When performing an aggregate data meta-analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standard meta-analytic methods typically cannot be directly applied in this setting. In recent years, there has been substantial development in statistical methods to…
Descriptors: Statistical Analysis, Meta Analysis, Data Analysis, Sampling
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Youn Seon Lim – Journal of Educational Measurement, 2025
While testlets have proven useful for assessing complex skills, the stem shared by multiple items often induces correlations between responses, leading to violations of local independence (LI), which can result in biased parameter and ability estimates. Diagnostic procedures for detecting testlet effects typically involve model comparisons testing…
Descriptors: Sampling, Statistical Inference, Tests, Statistical Analysis
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Annabel L. Davies; A. E. Ades; Julian P. T. Higgins – Research Synthesis Methods, 2024
Quantitative evidence synthesis methods aim to combine data from multiple medical trials to infer relative effects of different interventions. A challenge arises when trials report continuous outcomes on different measurement scales. To include all evidence in one coherent analysis, we require methods to "map" the outcomes onto a single…
Descriptors: Children, Body Composition, Measurement Techniques, Sampling
Wendy Castillo; Rachel Renbarger; Sasha Mejia-Bradford; Christen Priddie; Juan Cruz; Brein Mosely; Katherine Aragon – Annenberg Institute for School Reform at Brown University, 2025
Education policy research aimed at eliminating racism necessitates methodological innovation that fosters both equity-centered approaches and robust empirical analysis of the systemic nature of racism. Most quantitative research in educational psychology omits the racist environment that students in K-12 education exist in (DeCuir-Gunby &…
Descriptors: Racism, Elementary Secondary Education, Racial Discrimination, Surveys
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John R. Donoghue; Carol Eckerly – Applied Measurement in Education, 2024
Trend scoring constructed response items (i.e. rescoring Time A responses at Time B) gives rise to two-way data that follow a product multinomial distribution rather than the multinomial distribution that is usually assumed. Recent work has shown that the difference in sampling model can have profound negative effects on statistics usually used to…
Descriptors: Scoring, Error of Measurement, Reliability, Scoring Rubrics
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Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
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Nuria Real-Brioso; Eduardo Estrada; Pablo F. Cáncer – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Accelerated longitudinal designs (ALDs) provide an opportunity to capture long developmental periods in a shorter time framework using a relatively small number of assessments. Prior literature has investigated whether univariate developmental processes can be characterized with data obtained from ALDs. However, many important questions in…
Descriptors: Longitudinal Studies, Psychology, Cognitive Development, Brain Hemisphere Functions
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Elliott Ostler; Tami Williams; John Schultz – School Leadership Review, 2025
In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…
Descriptors: Data Analysis, Statistical Analysis, Data Use, Ethics
Simon Moss; Line Knudsen; Noémie Bourguignon; Martin Wood – UK Department for Education, 2025
This Technical Annex report sets out methodological and technical notes for the 2024 Technical Education Learner Survey. It accompanies two substantive reports -- 'Technical Education Learner Survey 2024: progression of the 2nd T Level cohort' and 'Technical Education Learner Survey 2024: progression of Level 4/5 learners'. The main body of the…
Descriptors: Foreign Countries, Career and Technical Education, Educational Research, Research Methodology
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Seyda Ince Sezer; Mehmet Diyaddin Yasar – Science Insights Education Frontiers, 2024
The purpose of this research is to identify the situation through content analysis of scale development studies conducted by Turkish researchers in the field of preschool education. Thus, the overall trend of scale development research in preschool education was established. This research is a document analysis study. The documents studied are…
Descriptors: Foreign Countries, Preschool Education, Preschool Teachers, Measures (Individuals)
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