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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
Andy J. Frey; Jason W. Small; Hill M. Walker; Brandon Mitchell; John R. Seeley; Edward G. Feil; Jon Lee; Steven R. Forness – Remedial and Special Education, 2023
Early intervention efforts have been effective in reducing disruptive behaviors and the probability of poor developmental outcomes. Early interventions include common practice elements to improve social functioning and decrease problem behaviors that disrupt the teaching-learning process. The First Step Next intervention has been well validated…
Descriptors: Replication (Evaluation), Randomized Controlled Trials, Early Intervention, Behavior Disorders
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
Jin, Hye Kyung; Choi, Jae Hee; Kang, Ji Eun; Rhie, Sandy Jeong – Advances in Health Sciences Education, 2018
Communication skills in pharmacy education and practice are increasingly regarded as a crucial component. However, thus far, estimating of the overall communication skills training (CST) effects in a variety of outcomes is lacking. The aim of this study was to synthesize the effects of CST in pharmacy education by performing a meta-analysis of CST…
Descriptors: Communication Skills, Pharmaceutical Education, Health Personnel, Patients
Smith, Kendal N.; Lamb, Kristen N.; Henson, Robin K. – Gifted Child Quarterly, 2020
Multivariate analysis of variance (MANOVA) is a statistical method used to examine group differences on multiple outcomes. This article reports results of a review of MANOVA in gifted education journals between 2011 and 2017 (N = 56). Findings suggest a number of conceptual and procedural misunderstandings about the nature of MANOVA and its…
Descriptors: Multivariate Analysis, Academically Gifted, Gifted Education, Educational Research
Schroeder, Noah L.; Nesbit, John C.; Anguiano, Carlos J.; Adesope, Olusola O. – Educational Psychology Review, 2018
A concept map is a node-link diagram in which each node represents a concept and each link identifies the relationship between the two concepts it connects. We investigated how using concept maps influences learning by synthesizing the results of 142 independent effect sizes (n = 11,814). A random-effects model meta-analysis revealed that learning…
Descriptors: Meta Analysis, Concept Mapping, Effect Size, Achievement Gains
Babcock, Ben; Marks, Peter E. L.; van den Berg, Yvonne H. M.; Cillessen, Antonius H. N. – International Journal of Behavioral Development, 2018
Missing data are a persistent problem in psychological research. Peer nomination data present a unique missing data problem, because a nominator's nonparticipation results in missing data for other individuals in the study. This study examined the range of effects of systematic nonparticipation on the correlations between peer nomination data when…
Descriptors: Data, Research Problems, Psychological Studies, Correlation
Feinberg, Richard A.; Jurich, Daniel P. – Educational Measurement: Issues and Practice, 2017
Recent research has proposed a criterion to evaluate the reportability of subscores. This criterion is a value-added ratio ("VAR"), where values greater than 1 suggest that the true subscore is better approximated by the observed subscore than by the total score. This research extends the existing literature by quantifying statistical…
Descriptors: Guidelines, Scores, Research Reports, Value Added Models
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
Avitia, Maria; Pagirsky, Matthew; Courville, Troy; DeBiase, Emily; Knupp, Tawnya; Ottone-Cross, Karen – Journal of Psychoeducational Assessment, 2017
Children with a specific learning disability in reading/writing (LDRW) and/or language impairment (LI) are likely to have difficulties across all areas of academic achievement, as a great deal of teaching and learning depends on intact reading skill and linguistic communication. Despite a large number of studies examining academic difficulties…
Descriptors: Learning Disabilities, Reading Difficulties, Language Impairments, Differences
What Works Clearinghouse, 2020
The What Works Clearinghouse (WWC) is an initiative of the U.S. Department of Education's Institute of Education Sciences (IES), which was established under the Education Sciences Reform Act of 2002. It is an important part of IES's strategy to use rigorous and relevant research, evaluation, and statistics to improve the nation's education system.…
Descriptors: Educational Research, Evaluation Methods, Evidence, Statistical Significance
Rosenthal, Robert – Research Synthesis Methods, 2015
In this interview, we discuss my early uses of meta-analytic procedures, first to combine "p"-values and then to combine effect sizes as well. My interest in quantifying the magnitude and the statistical significance of the effect of interpersonal expectations probably grew out of the following: (1) a long-held interest in the concept of…
Descriptors: Meta Analysis, Probability, Statistical Significance, Effect 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
García-Pérez, Miguel A. – Educational and Psychological Measurement, 2017
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternative approaches to data analysis have been proposed. This article addresses this debate from the perspective of scientific inquiry and inference. Inference is an inverse problem and application of statistical methods cannot reveal whether effects…
Descriptors: Hypothesis Testing, Statistical Inference, Effect Size, Bayesian Statistics

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