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
Modulators of the Personal and Professional Threat Perception of Olympic Athletes in the Actual COVID-19 Crisis
Vicente Javier Clemente-Suárez,Juan Pedro Fuentes-García,Ricardo de la Vega Marcos,María José Martínez Patiño +3 more
TL;DR: The aim of the present research was to analyze the effect of psychological profile, academic schedule, and gender in the perception of personal and professional threat of Olympic and Paralympic athletes facing the 2021 Tokyo Olympiad in the actual COVID-19 crisis.
Journal ArticleDOI
A Gross Anatomy Flipped Classroom Effects Performance, Retention, and Higher-Level Thinking in Lower Performing Students.
TL;DR: It is suggested that the flipped classroom may benefit lower performing student's knowledge acquisition and transfer to a greater degree than higher performing students.
Journal ArticleDOI
Examination of Variables That May Affect the Relationship Between Cognition and Functional Status in Individuals with Mild Cognitive Impairment: A Meta-Analysis.
TL;DR: Executive functioning, particularly measured by Trails B, was a strong predictor of everyday functioning in individuals with MCI and a large proportion of variance remained unexplained by cognition.
Journal ArticleDOI
HIV infection is associated with attenuated frontostriatal intrinsic connectivity: a preliminary study.
Jonathan C Ipser,Gregory G. Brown,Amanda Bischoff-Grethe,Colm G. Connolly,Ronald J. Ellis,Robert K. Heaton,Igor Grant +6 more
TL;DR: It is indicated that HIV is associated with attenuated intrinsic frontostriatal connectivity, which may serve as a marker of the deleterious effects of HIV infection on the brain, possibly via HIV-associated dopaminergic abnormalities.
Journal ArticleDOI
Cognitive fatigue: A Time-based Resource-sharing account
TL;DR: The results indicate that processing time-related cognitive load eventually leads to the subjective feeling of CF, and to a decrease in alertness.
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.