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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Ethics and Good Practice in Computational Paralinguistics
TL;DR: In this paper , a short overview of the field of Computational Paralinguistics, its history and exemplary use cases, as well as (de-)anonymization and peculiarities of speech and text data, and proposing rules for good practice in the field, such as choosing the right performance measure, and accounting for representativity and interpretability.
Journal ArticleDOI
Cognitive control in young adults with cannabis use disorder: An event-related brain potential study.
TL;DR: The results seem to suggest that CUD patients have problems related to response inhibition, but performance monitoring seems relatively unaffected.
Journal ArticleDOI
Personality traits bias the perceived quality of sonic environments
TL;DR: In this article, the Big Five traits and noise sensitivity were used as personality factors in two listening experiments (n = 43, n = 45) to evaluate the perception of the sonic environment.
Journal ArticleDOI
Does improvement in symptoms and quality of life in chronic schizophrenia reduce family caregiver burden
TL;DR: Clinical changes in patient symptoms and quality of life were not significantly associated with changes in family caregiver burden, likely reflecting that small clinical changes in chronically ill adults are insufficient to affect long established experiences of burden.
Journal ArticleDOI
The effect of neural mobilisation on cervico-brachial pain: design of a randomised controlled trial
TL;DR: A randomised controlled trial will be used to establish the effect of neural mobilisation on the pain, function and quality of life of patients with cervico-brachial pain.
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.