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
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Journal ArticleDOI
Flow, social interaction anxiety and salivary cortisol responses in serious games
TL;DR: The findings highlight the fact that team-based serious games with ST components may have adverse effects on learners, particularly males, with high social interaction anxiety, and provide new perspectives on the relationships between flow, positive/negative affect and cortisol.
Journal ArticleDOI
Sex differences in gray matter volume: how many and how large are they really ?
Carla Sanchis-Segura,M.V. Ibáñez-Gual,Jesús Adrián-Ventura,Naiara Aguirre,Álvaro Javier Gómez-Cruz,César Ávila,Cristina Forn +6 more
TL;DR: Males had larger raw GMv than females in all brain areas, but these differences were driven by direct TIV-VOIs relationships and more closely resembled the differences observed between individuals with large/small TIVs of sex-specific subsamples than the sex differences observed in the TIV -matched subsample.
Journal ArticleDOI
‘Oncokompas’, a web-based self-management application to support patient activation and optimal supportive care: a feasibility study among breast cancer survivors
Heleen C. Melissant,Irma M. Verdonck-de Leeuw,Birgit I. Lissenberg-Witte,Inge R. H. M. Konings,Pim Cuijpers,Cornelia F. van Uden-Kraan +5 more
TL;DR: Oncokompas including a newly developed breast cancer module is considered feasible, but needs further optimization to increase user satisfaction, and shows the value of tailoring eHealth applications for cancer survivors to their specific tumor type.
Journal ArticleDOI
A Systematic Review of Pharmacological Pain Management in Multiple Sclerosis
TL;DR: The relatively small number of trials in MS patients with chronic pain precludes specific recommendations for treatment strategies, and interventions included antidepressants, anticonvulsants, dextromethorphan/quinidine, cannabinoids, and opioids/opioid antagonists.
Journal ArticleDOI
Knowledge sharing behaviors among non academic staff of higher learning institutions
TL;DR: In this paper, the antecedents of knowledge sharing behavior among non-academic staff of different higher learning institutions in Malaysia were investigated using confirmatory factor analysis and structural equation modeling.
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.