Journal ArticleDOI
Effect size estimates: Current use, calculations, and interpretation.
TLDR
A straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis is provided.Abstract:
The Publication Manual of the American Psychological Association (American Psychological Association, 2001, American Psychological Association, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial η2 was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.read more
Citations
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Proceedings ArticleDOI
A first look at good first issues on GitHub
Xin Tan,Minghui Zhou,Zeyu Sun +2 more
TL;DR: A preliminary study on the GFI mechanism from its application status, effect, problems, and best practices enables a better understanding of the mechanism and its problems, as well as highlights ways in improving them.
Journal ArticleDOI
Performance lapses in children with attention-deficit/hyperactivity disorder contribute to poor reading fluency.
Lisa A. Jacobson,Matthew Ryan,Martha B. Denckla,Martha B. Denckla,Stewart H. Mostofsky,Stewart H. Mostofsky,E. Mark Mahone,E. Mark Mahone +7 more
TL;DR: The data support the growing evidence that RT variability, but not simply slower mean response speed, is the characteristic of youth with ADHD and that longer response time latencies (tau) may be implicated in the poorer academic performance associated with ADHD.
Journal ArticleDOI
The effects of a relaxation intervention on nurses' psychological and physiological stress indicators: A pilot study.
TL;DR: Preliminary evidence that relaxation interventions are effective strategies for reducing the usual stress experienced by nurses is provided, and it is demonstrated that a psychomotor relaxation program might be an important occupational stress-management tool for healthcare professionals.
Journal ArticleDOI
Outcomes of a multimodal cognitive and physical rehabilitation program for persons with mild dementia and their caregivers: a goal-oriented approach
TL;DR: Evidence is provided that a multimodal approach combining physical exercise and cognitive rehabilitation improves goal attainment and caregiver burden in individuals and caregivers of persons with mild dementia.
Journal ArticleDOI
Altruism, fast and slow? Evidence from a meta-analysis and a new experiment
TL;DR: The authors conducted a meta-study based on 22 experimental studies with more than 12,000 subjects and found that the overall effect of manipulating cognitive resources to promote the "intuitive" system at the expense of the "deliberative" system is very close to zero.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Book
Using multivariate statistics
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Book
Nonparametric statistics for the behavioral sciences
TL;DR: This is the revision of the classic text in the field, adding two new chapters and thoroughly updating all others as discussed by the authors, and the original structure is retained, and the book continues to serve as a combined text/reference.
Book
Applied multiple regression/correlation analysis for the behavioral sciences
TL;DR: In this article, the Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements is presented. But it does not address the problem of missing data.