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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A pedagogical alliance for trust, wellbeing and the identification of errors for learning and formative assessment
TL;DR: In this article, an experimental test of a new theoretical framework was conducted to cultivate a pedagogical alliance to enhance students' trust in the teacher, well-being in the learning environment and identification of confusion and errors for the purpose of learning, assessment and feedback.
Journal ArticleDOI
Truth or Punishment: Secrecy and Punishing the Self
Michael L. Slepian,Brock Bastian +1 more
TL;DR: It is demonstrated that thinking about secret (vs. confessed) misdeeds leads to increased self-punishment (increased denial of pleasure and seeking of pain), and those who seek an escape from justice by keeping secrets may in fact end up serving that same justice on themselves (through self- Punishment).
Journal ArticleDOI
Perinatal selective serotonin reuptake inhibitor (SSRI) and other antidepressant exposure effects on anxiety and depressive behaviors in offspring: A review of findings in humans and rodent models.
TL;DR: How perinatal exposure to SSRI and other antidepressant may have long term consequences for these affective behaviors during early childhood and beyond is focused on.
Journal ArticleDOI
Shared and distinct factors driving attention and temporal processing across modalities.
TL;DR: Challenges to different aspects of attention reveal both modality-specific and nonspecific effects on temporal processing, and different factors drive individual differences when testing across modalities are suggested.
Journal ArticleDOI
Mental health improves after transition from comprehensive school to vocational education or employment in England: A national cohort study.
TL;DR: This study examined how adolescents' anxiety, depressive symptoms, and positive functioning developed as they transferred from comprehensive school to further education, employment or training, or became NEET, in the longitudinal English national cohort study Next Steps, and found that NEET adolescents had the largest losses in mental health.
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.