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Showing 1 to 15 of 16 results Save | Export
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Timo Gnambs; Ulrich Schroeders – Research Synthesis Methods, 2024
Meta-analyses of treatment effects in randomized control trials are often faced with the problem of missing information required to calculate effect sizes and their sampling variances. Particularly, correlations between pre- and posttest scores are frequently not available. As an ad-hoc solution, researchers impute a constant value for the missing…
Descriptors: Accuracy, Meta Analysis, Randomized Controlled Trials, Effect Size
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Peng, Peng; Namkung, Jessica; Barnes, Marcia; Sun, Congying – Journal of Educational Psychology, 2016
The purpose of this meta-analysis was to determine the relation between mathematics and working memory (WM) and to identify possible moderators of this relation including domains of WM, types of mathematics skills, and sample type. A meta-analysis of 110 studies with 829 effect sizes found a significant medium correlation of mathematics and WM, r…
Descriptors: Meta Analysis, Mathematics, Short Term Memory, Mathematics Skills
Paek, Sue Hyeon; Abdulla, Ahmed M.; Cramond, Bonnie – Gifted Child Quarterly, 2016
There is a long-standing controversy over the relationship between psychopathology and creativity. Yet there is a lack of evidence regarding the relationship between common psychopathologies and indicators of little-c, or every day, creativity among laypeople. To make sense of this connection, we conducted a meta-analysis using 89 studies to…
Descriptors: Meta Analysis, Psychopathology, Attention Deficit Hyperactivity Disorder, Anxiety Disorders
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Robertson, Clare; Ramsay, Craig; Gurung, Tara; Mowatt, Graham; Pickard, Robert; Sharma, Pawana – Research Synthesis Methods, 2014
We describe our experience of using a modified version of the Cochrane risk of bias (RoB) tool for randomised and non-randomised comparative studies. Objectives: (1) To assess time to complete RoB assessment; (2) To assess inter-rater agreement; and (3) To explore the association between RoB and treatment effect size. Methods: Cochrane risk of…
Descriptors: Risk, Randomized Controlled Trials, Research Design, Comparative Analysis
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Kelley, Ken; Preacher, Kristopher J. – Psychological Methods, 2012
The call for researchers to report and interpret effect sizes and their corresponding confidence intervals has never been stronger. However, there is confusion in the literature on the definition of effect size, and consequently the term is used inconsistently. We propose a definition for effect size, discuss 3 facets of effect size (dimension,…
Descriptors: Intervals, Effect Size, Correlation, Questioning Techniques
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Dunst, Carl J.; Hamby, Deborah W. – Journal of Intellectual & Developmental Disability, 2012
This paper includes a nontechnical description of methods for calculating effect sizes in intellectual and developmental disability studies. Different hypothetical studies are used to illustrate how null hypothesis significance testing (NHST) and effect size findings can result in quite different outcomes and therefore conflicting results. Whereas…
Descriptors: Intervals, Developmental Disabilities, Statistical Significance, Effect Size
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Mason, Lee L. – Journal of Precision Teaching and Celeration, 2010
Effect sizes for single-subject research were examined to determine to what extent they measure similar aspects of the effects of the treatment. Seventy-five articles on the reduction of problem behavior in children with autism were recharted on standard celeration charts. Pearson product-moment correlations were then conducted between two…
Descriptors: Evidence, Autism, Effect Size, Comparative Analysis
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Hamelin, Jeffery P.; Frijters, Jan; Griffiths, Dorothy; Condillac, Rosemary; Owen, Frances – Journal of Intellectual & Developmental Disability, 2011
Background: A meta-analysis examined the effects of deinstitutionalisation on adaptive behaviour outcomes in persons with intellectual disability. The need for an updated review in this area is reflected by recent policy shifts in community care practices and the international status of deinstitutionalisation efforts. Method: Twenty-three studies…
Descriptors: Community Services, Research Design, Sample Size, Mental Retardation
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Algina, James; Keselman, Harvey J.; Penfield, Randall J. – Educational and Psychological Measurement, 2008
A squared semipartial correlation coefficient ([Delta]R[superscript 2]) is the increase in the squared multiple correlation coefficient that occurs when a predictor is added to a multiple regression model. Prior research has shown that coverage probability for a confidence interval constructed by using a modified percentile bootstrap method with…
Descriptors: Intervals, Correlation, Probability, Multiple Regression Analysis
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McCluskey, Annie; Bishop, Bianca – Journal of Continuing Education in the Health Professions, 2009
Introduction: Health educators who teach professionals about evidence-based practice (EBP) need instruments to measure change in skills and knowledge. This study aimed to develop and evaluate the interrater reliability, internal consistency, and responsiveness of the Adapted Fresno Test (AFT) of competence in EBP. Methods: Reliability testing…
Descriptors: Interrater Reliability, Correlation, Psychometrics, Occupational Therapy
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Algina, James; Keselman, H. J.; Penfield, Randall D. – Educational and Psychological Measurement, 2007
The increase in the squared multiple correlation coefficient ([Delta]R[squared]) associated with a variable in a regression equation is a commonly used measure of importance in regression analysis. The coverage probability that an asymptotic and percentile bootstrap confidence interval includes [Delta][rho][squared] was investigated. As expected,…
Descriptors: Probability, Intervals, Multiple Regression Analysis, Correlation
Parker, Richard I.; Hagan-Burke, Shanna; Vannest, Kimberly – Journal of Special Education, 2007
Although single-case researchers are not accustomed to analyzing data statistically, standards for research and accountability from government and other funding agents are creating pressure for more objective, reliable data. In addition, "evidence-based interventions" movements in special education, clinical psychology, and school psychology imply…
Descriptors: Regression (Statistics), Intervals, Special Education, School Psychology
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Zou, Guang Yong – Psychological Methods, 2007
Confidence intervals are widely accepted as a preferred way to present study results. They encompass significance tests and provide an estimate of the magnitude of the effect. However, comparisons of correlations still rely heavily on significance testing. The persistence of this practice is caused primarily by the lack of simple yet accurate…
Descriptors: Intervals, Effect Size, Research Methodology, Correlation
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Myers, Nicholas D.; Paiement, Craig A.; Feltz, Deborah L. – Measurement in Physical Education and Exercise Science, 2007
The purpose of this study was to determine to what degree collective efficacy judgments based on summative team performance capabilities exhibited different levels of prediction for three additive intervals of team performance in women's ice hockey. Collective efficacy beliefs of 12 teams were assessed prior to Friday's game and Saturday's game…
Descriptors: Proximity, Team Sports, Intervals, Teamwork
Schafer, William D.; Papapolydorou, Maria; Rahman, Taslima; Parker, Lori – Online Submission, 2005
Possible relationships between five test examiner characteristics (gender, race, tenure, experience as a test administrator, and experience as a test developer or scorer) and six student achievement scores (reading, writing, language usage, mathematics, science, and social studies) were studied at the school level in a statewide assessment. The…
Descriptors: Intervals, Academic Achievement, Test Validity, Examiners
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