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Sims, Sam; Anders, Jake; Inglis, Matthew; Lortie-Forgues, Hugues – Journal of Research on Educational Effectiveness, 2023
Randomized controlled trials have proliferated in education, in part because they provide an unbiased estimator for the causal impact of interventions. It is increasingly recognized that many such trials in education have low power to detect an effect if indeed there is one. However, it is less well known that low powered trials tend to…
Descriptors: Randomized Controlled Trials, Educational Research, Effect Size, Intervention
Rubio-Aparicio, María; López-López, José Antonio; Viechtbauer, Wolfgang; Marín-Martínez, Fulgencio; Botella, Juan; Sánchez-Meca, Julio – Journal of Experimental Education, 2020
Mixed-effects models can be used to examine the association between a categorical moderator and the magnitude of the effect size. Two approaches are available to estimate the residual between-studies variance, t[superscript 2][subscript res] --namely, separate estimation within each category of the moderator versus pooled estimation across all…
Descriptors: Meta Analysis, Effect Size, Computation, Classification
Karadavut, Tugba – Applied Measurement in Education, 2021
Mixture IRT models address the heterogeneity in a population by extracting latent classes and allowing item parameters to vary between latent classes. Once the latent classes are extracted, they need to be further examined to be characterized. Some approaches have been adopted in the literature for this purpose. These approaches examine either the…
Descriptors: Item Response Theory, Models, Test Items, Maximum Likelihood Statistics
Simsek, Ahmet Salih – International Journal of Assessment Tools in Education, 2023
Likert-type item is the most popular response format for collecting data in social, educational, and psychological studies through scales or questionnaires. However, there is no consensus on whether parametric or non-parametric tests should be preferred when analyzing Likert-type data. This study examined the statistical power of parametric and…
Descriptors: Error of Measurement, Likert Scales, Nonparametric Statistics, Statistical Analysis
Jane E. Miller – Numeracy, 2023
Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…
Descriptors: Statistical Significance, Holistic Approach, Statistical Inference, Effect Size
Oleson, Jacob J.; Brown, Grant D.; McCreery, Ryan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Clinicians depend on the accuracy of research in the speech, language, and hearing sciences to improve assessment and treatment of patients with communication disorders. Although this work has contributed to great advances in clinical care, common statistical misconceptions remain, which deserve closer inspection in the field. Challenges…
Descriptors: Statistics, Speech Language Pathology, Research, Statistical Analysis
Taber, Keith S. – Chemistry Education Research and Practice, 2020
This comment discusses some issues about the use and reporting of experimental studies in education, illustrated by a recently published study that claimed (i) that an educational innovation was effective despite outcomes not reaching statistical significance, and (ii) that this refuted the findings of an earlier study. The two key issues raised…
Descriptors: Chemistry, Educational Innovation, Statistical Significance, Statistical Inference
Kim, Yukyoum; Lee, J. Lucy – Measurement in Physical Education and Exercise Science, 2019
The purposes of this manuscript are to identify common statistical mistakes in sport management, and to provide scholars with suggestions on how to develop and improve the quality of quantitative research. We have reviewed articles published from 2001 to 2017 in the "Journal of Sport Management," "Sport Management Review,"…
Descriptors: Athletics, Research, Research Problems, Statistical Analysis
Guo, Hongwen; Robin, Frederic; Dorans, Neil – Journal of Educational Measurement, 2017
The early detection of item drift is an important issue for frequently administered testing programs because items are reused over time. Unfortunately, operational data tend to be very sparse and do not lend themselves to frequent monitoring analyses, particularly for on-demand testing. Building on existing residual analyses, the authors propose…
Descriptors: Testing, Test Items, Identification, Sample Size
Kahan, David; McKenzie, Thomas L. – American Journal of Health Education, 2018
Background: After-school programs (ASPs) have the potential to contribute to moderate-to-vigorous physical activity (MVPA), but there is limited empirical evidence to guide their development and implementation. Purpose: This study assessed the replication of an elementary school running program and identified psychological correlates of children's…
Descriptors: Physical Activities, Psychological Patterns, Correlation, After School Programs
Russell, Keith C.; Gillis, Harold L.; Law, Liam; Couillard, Jeff – Child & Youth Care Forum, 2018
Background: Progress monitoring (PM) is the periodic and reliable assessment of client progress to evaluate and inform psychotherapeutic treatment. PM's use in a variety of treatment contexts show improved treatment outcome, dropout rate reduction, moderated treatment deterioration, and more efficient treatment delivery. Objective: This study…
Descriptors: Pilot Projects, Outcomes of Treatment, Program Implementation, Progress Monitoring
Houser, Bonnie L. – ProQuest LLC, 2017
There are relatively few empirical studies that examine whether using a competency-based education (CBE) approach results in increased student learning or achievement when compared to traditional education approaches. This study uses a quantitative research methodology, a nonexperimental comparative descriptive research design, and a two-group…
Descriptors: Competency Based Education, Military Training, Military Personnel, Comparative Analysis
Suh, Youngsuk – Journal of Educational Measurement, 2016
This study adapted an effect size measure used for studying differential item functioning (DIF) in unidimensional tests and extended the measure to multidimensional tests. Two effect size measures were considered in a multidimensional item response theory model: signed weighted P-difference and unsigned weighted P-difference. The performance of…
Descriptors: Effect Size, Goodness of Fit, Statistical Analysis, Statistical Significance
Mothibi, Gloria – Journal of Education and Practice, 2015
E-learning is substantially becoming a popular effective learning approach within greater academic settings due to high use of web systems in learning. E-learning involves utilization of information and communication technology (ICT) to improve and help teaching and learning. The aim of this study was to estimate the relationship between…
Descriptors: Meta Analysis, Electronic Learning, Academic Achievement, Higher Education
Ham, Amanda D.; Huggins-Hoyt, Kimberly Y.; Pettus, Joelle – Research on Social Work Practice, 2016
Objectives: This study examined how evaluation and intervention research (IR) studies assessed statistical change to ascertain effectiveness. Methods: Studies from six core social work journals (2009-2013) were reviewed (N = 1,380). Fifty-two evaluation (n= 27) and intervention (n = 25) studies met the inclusion criteria. These studies were…
Descriptors: Social Work, Program Effectiveness, Intervention, Evaluation Research