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Showing 1 to 15 of 111 results Save | Export
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Kristja´nsson, Kristja´n – British Educational Research Journal, 2021
The concept of "phronesis" enters educational discourse at various levels of engagement, and it continues to fascinate and frustrate educational theorists in equal measure. This article begins by charting the vagaries of three educational discourses on phronesis, and by eliciting insights from the recently burgeoning wisdom research…
Descriptors: Intelligence, Educational Philosophy, Hypothesis Testing, Educational Research
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Levin, Joel R.; Ferron, John M.; Gafurov, Boris S. – Educational Psychology Review, 2021
Previous simulation studies of randomization tests applied in single-case educational intervention research contexts have typically focused on A-to-B phase changes in means/levels. In the present simulation study, we report the results of two multiple-baseline investigations, one targeting between-phase changes in slopes/trends and the other…
Descriptors: Educational Research, Statistical Analysis, Hypothesis Testing, Intervention
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Matayoshi, Jeffrey; Karumbaiah, Shamya – International Educational Data Mining Society, 2021
Research studies in Educational Data Mining (EDM) often involve several variables related to student learning activities. As such, it may be necessary to run multiple statistical tests simultaneously, thereby leading to the problem of multiple comparisons. The Benjamini-Hochberg (BH) procedure is commonly used in EDM research to address this…
Descriptors: Statistical Analysis, Validity, Classification, Hypothesis Testing
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Clemens Draxler; Andreas Kurz; Can Gürer; Jan Philipp Nolte – Journal of Educational and Behavioral Statistics, 2024
A modified and improved inductive inferential approach to evaluate item discriminations in a conditional maximum likelihood and Rasch modeling framework is suggested. The new approach involves the derivation of four hypothesis tests. It implies a linear restriction of the assumed set of probability distributions in the classical approach that…
Descriptors: Inferences, Test Items, Item Analysis, Maximum Likelihood Statistics
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Norah Alsharidi – Journal of Education and Learning, 2025
Educational research enquiries differ based on philosophical beliefs and assumptions regarding researchers' explicitly stated views. This paper critically explores the most dominant philosophical stances in social research sciences, namely positivism, interpretivism and pragmatism. It begins with an overview of the role of the aforementioned…
Descriptors: Educational Research, Social Science Research, Philosophy, Beliefs
Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
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Adam Sales – Society for Research on Educational Effectiveness, 2021
Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…
Descriptors: Educational Research, Statistical Analysis, Research Design, Decision Making
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Peugh, James; Feldon, David F. – CBE - Life Sciences Education, 2020
Structural equation modeling is an ideal data analytical tool for testing complex relationships among many analytical variables. It can simultaneously test multiple mediating and moderating relationships, estimate latent variables on the basis of related measures, and address practical issues such as nonnormality and missing data. To test the…
Descriptors: Structural Equation Models, Goodness of Fit, Statistical Analysis, Computation
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Arnold, Julia C.; Mühling, Andreas; Kremer, Kerstin – Research in Science & Technological Education, 2023
Background: Scientific thinking is an essential learning goal of science education and it can be fostered by inquiry learning. One important prerequisite for scientific thinking is procedural understanding. Procedural understanding is the knowledge about specific steps in scientific inquiry (e.g. formulating hypotheses, measuring dependent and…
Descriptors: Science Process Skills, Inquiry, Active Learning, Science Education
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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
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Makel, Matthew C.; Smith, Kendal N.; McBee, Matthew T.; Peters, Scott J.; Miller, Erin M. – AERA Open, 2019
Concerns about the replication crisis and unreliable findings have spread through several fields, including education and psychological research. In some areas of education, researchers have begun to adopt reforms that have proven useful in other fields. These include preregistration, open materials and data, and registered reports. These reforms…
Descriptors: Credibility, Cooperation, Educational Research, Replication (Evaluation)
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Laird, Robert D. – Developmental Psychology, 2020
Researchers are often inclined to test agreement or discrepancy hypotheses using difference scores. This commentary explains 2 mathematical-statistical principles underlying associations with difference scores and 2 conceptual-interpretation problems that make difference scores inappropriate for testing such hypotheses. The commentary provides…
Descriptors: Educational Research, Hypothesis Testing, Differences, Scores
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Kelcey, Ben; Spybrook, Jessaca; Dong, Nianbo; Bai, Fangxing – Journal of Research on Educational Effectiveness, 2020
Professional development for teachers is regarded as one of the principal pathways through which we can understand and cultivate effective teaching and improve student outcomes. A critical component of studies that seek to improve teaching through professional development is the detailed assessment of the intermediate teacher development processes…
Descriptors: Faculty Development, Educational Research, Randomized Controlled Trials, Research Design
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Lortie-Forgues, Hugues; Inglis, Matthew – Educational Researcher, 2019
In this response, we first show that Simpson's proposed analysis answers a different and less interesting question than ours. We then justify the choice of prior for our Bayes factors calculations, but we also demonstrate that the substantive conclusions of our article are not substantially affected by varying this choice.
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Educational Research, Program Evaluation
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Kubsch, Marcus; Stamer, Insa; Steiner, Mara; Neumann, Knut; Parchmann, Ilka – Practical Assessment, Research & Evaluation, 2021
In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…
Descriptors: Data Analysis, Bayesian Statistics, Educational Research, Science Education
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