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Kim, Jinho; Wilson, Mark – Educational and Psychological Measurement, 2020
This study investigates polytomous item explanatory item response theory models under the multivariate generalized linear mixed modeling framework, using the linear logistic test model approach. Building on the original ideas of the many-facet Rasch model and the linear partial credit model, a polytomous Rasch model is extended to the item…
Descriptors: Item Response Theory, Test Items, Models, Responses
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Mäs, Michael; Helbing, Dirk – Sociological Methods & Research, 2020
Many sociological theories make critically different macropredictions when their microassumptions are implemented stochastically rather than deterministically. Deviations from individuals' behavioral patterns described by microtheories can spark cascades that change macrooutcomes, even when deviations are rare and random. With two experiments, we…
Descriptors: Social Theories, Prediction, Behavior Patterns, Sociology
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Goutte, Cyril; Durand, Guillaume – International Educational Data Mining Society, 2020
Learning curves are an important tool in cognitive diagnostics modeling to help assess how well students acquire new skills, and to refine and improve knowledge component models. Learning curves are typically obtained from a model estimated on real data obtained from a finite, and usually limited, sample of students. As a consequence, there is…
Descriptors: Learning, Models, Computation, Statistical Analysis
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Lyrica Lucas; Anum Khushal; Robert Mayes; Brian A. Couch; Joseph Dauer – International Journal of Science Education, 2025
Educational reform priorities such as emphasis on quantitative modelling (QM) have positioned undergraduate biology instructors as designers of QM experiences to engage students in authentic science practices that support the development of data-driven and evidence-based reasoning. Yet, little is known about how biology instructors adapt to the…
Descriptors: Undergraduate Students, College Science, Biology, Classroom Observation Techniques
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Schwarzer, Guido; Chemaitelly, Hiam; Abu-Raddad, Laith J.; Rücker, Gerta – Research Synthesis Methods, 2019
Standard generic inverse variance methods for the combination of single proportions are based on transformed proportions using the logit, arcsine, and Freeman-Tukey double arcsine transformations. Generalized linear mixed models are another more elaborate approach. Irrespective of the approach, meta-analysis results are typically back-transformed…
Descriptors: Meta Analysis, Statistical Analysis, Research Problems
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Haberman, Shelby J. – ETS Research Report Series, 2019
Cross-validation is a common statistical procedure applied to problems that are otherwise computationally intractable. It is often employed to assess the effectiveness of prediction procedures. In this report, cross-validation is discussed in terms of "U"-statistics. This approach permits consideration of the statistical properties of…
Descriptors: Statistical Analysis, Generalization, Prediction, Computation
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Nadarajah, Saralees; Chu, Jeffrey; Chan, Stephen – International Journal of Mathematical Education in Science and Technology, 2019
A correlation coefficient taking positive values is introduced. It is more easily understood than other correlation measures especially in social science contexts. Estimation issues are addressed. A data application is given.
Descriptors: Correlation, Mathematics Instruction, Computation, Statistical Analysis
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Commeford, Kelley; Brewe, Eric; Traxler, Adrienne – Physical Review Physics Education Research, 2022
The vast majority of research involving active learning pedagogies uses passive lecture methods as a baseline. We propose to move beyond such comparisons to understand the mechanisms that make different active learning styles unique. Here, we use COPUS observations to record student and instructor activities in six known styles of active learning…
Descriptors: Active Learning, Teaching Methods, Cognitive Style, Physics
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Arellano, Lucy – Education Sciences, 2022
Higher education is in a moment of pause, facing an opportunity to transform or continue to perpetuate the status quo. The COVID-19 pandemic, coupled with the recognition of racial violence, has created an opportunity for institutions to question their own policies and practices. The purpose of this inquiry is to question the science behind…
Descriptors: Higher Education, Equal Education, Racial Bias, Statistical Bias
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Poom, Leo; af Wåhlberg, Anders – Research Synthesis Methods, 2022
In meta-analysis, effect sizes often need to be converted into a common metric. For this purpose conversion formulas have been constructed; some are exact, others are approximations whose accuracy has not yet been systematically tested. We performed Monte Carlo simulations where samples with pre-specified population correlations between the…
Descriptors: Meta Analysis, Effect Size, Mathematical Formulas, Monte Carlo Methods
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Mulisa, Feyisa – Interchange: A Quarterly Review of Education, 2022
In educational studies, the paradigm war over quantitative and qualitative research approaches has raged for more than half a century. The focus in the late twentieth century was on the distinction between the two approaches, and the motivation was to retain one of the approaches' supremacy. Since the early twenty-first century, there has been a…
Descriptors: Educational Research, Educational Researchers, Decision Making, Research Methodology
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Taylor, Joseph A.; Pigott, Terri; Williams, Ryan – Educational Researcher, 2022
Toward the goal of more rapid knowledge accumulation via better meta-analyses, this article explores statistical approaches intended to increase the precision and comparability of effect sizes from education research. The featured estimate of the proposed approach is a standardized mean difference effect size whose numerator is a mean difference…
Descriptors: Statistical Analysis, Effect Size, Meta Analysis, Comparative Analysis
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Bouchet-Valat, Milan – Sociological Methods & Research, 2022
Notwithstanding a large body of literature on log-linear models and odds ratios, no general marginal-free index of the association in a contingency table has gained a wide acceptance. Building on a framework developed by L. A. Goodman, we put into light the direct links between odds ratios, the Altham index, the intrinsic association coefficient,…
Descriptors: Statistical Analysis, Tables (Data), Models, Foreign Countries
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Dwyer, Patrick; Ferrer, Emilio; Saron, Clifford D.; Rivera, Susan M. – Journal of Autism and Developmental Disorders, 2022
This study uses factor mixture modelling of the Short Sensory Profile (SSP) at two time points to describe subgroups of young autistic and typically-developing children. This approach allows separate SSP subscales to influence overall SSP performance differentially across subgroups. Three subgroups were described, one including almost all…
Descriptors: Autism, Pervasive Developmental Disorders, Sensory Integration, Acoustics
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Harris, Douglas N.; Martinez-Pabon, Valentina – National Center for Research on Education Access and Choice, 2022
This study provides the first analysis of closure and restructuring trends for essentially all schools nationwide over the past 30 years. We analyze the annual closure and restructuring rates of all schools across the United States, how these rates changed over time, and what factors predict closure and restructuring. [For the Technical Report,…
Descriptors: School Closing, Educational Change, Public Schools, Charter Schools
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