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
Using the Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R) disentangle the heterogeneity of autistic traits in an Italian eating disorder population
TL;DR: If routinely undertaken, RAADS-R could be useful to disentangle the heterogeneity present in patients with ED and separate the HAST and LAST groups, indicative of two distinct populations with specific sets of traits clustering in the two groups.
Journal ArticleDOI
A Forgiveness Intervention for Women With Fibromyalgia Who Were Abused in Childhood: A Pilot Study.
Yu-Rim Lee,Robert D. Enright +1 more
TL;DR: The results indicate that the forgiveness intervention was potentially helpful in improving forgiveness and overall FM health, and in decreasing state anger of this particular sample of women with FM.
Journal ArticleDOI
Executive functions in children who experience bullying situations
Wandersonia Moreira Brito Medeiros,Nelson Torro-Alves,Leandro Fernandes Malloy-Diniz,Carla Alexandra da Silva Moita Minervino +3 more
TL;DR: Assessment of hot and cold executive functions in children who experience bullying indicates that bullies have an impairment of hot executive functions whereas victims have a comparatively lower performance incold executive functions.
Journal ArticleDOI
Sex-specific effects of perinatal FireMaster® 550 (FM 550) exposure on socioemotional behavior in prairie voles.
Sagi Enicole A. Gillera,William P. Marinello,Brian Horman,Allison L. Phillips,Matthew T. Ruis,Heather M. Stapleton,David M. Reif,Heather B. Patisaul +7 more
TL;DR: The utility of the prairie vole for investigating the impact of chemical exposures on social behavior is demonstrated and the hypothesis that developmental FR exposure impacts the social brain is supported.
Journal ArticleDOI
Acute stress recovery through listening to Melomics relaxing music: A randomized controlled trial
Alejandro de la Torre-Luque,Rafael A. Caparros-Gonzalez,Teresa Bastard,Francisco J. Vico,Gualberto Buela-Casal +4 more
TL;DR: In this paper, the effects of listening to relaxing music (generated by the Melomics computer system) on the cardiovascular recovery and subjective feelings of anxiety after undergoing an acute stress episode were analyzed.
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.