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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Journal ArticleDOI
The Relationship Between Problematic Video Gaming, Problematic Facebook Use, and Self-Control Dimensions Among Female and Male Gamers.
TL;DR: Findings showed that lower goal maintenance was associated with higher PFU, whereas lower initiative and persistence wasassociated with higher PVG among both groups, and there was a negative association between inhibition and adjournment and problematic behaviors among male gamers.
Journal ArticleDOI
CROKAGE: effective solution recommendation for programming tasks by leveraging crowd knowledge
Rodrigo Fernandes Gomes da Silva,Chanchal K. Roy,Mohammad Masudur Rahman,Kevin A. Schneider,Klérisson V. R. Paixão,Carlos Eduardo de Carvalho Dantas,Marcelo de Almeida Maia +6 more
TL;DR: The proposed CROKAGE (CrowdKnowledge Answer Generator), a tool that takes the description of a programming task as input and delivers a comprehensible solution for the task, outperforms the state-of-art tool in terms of relevance of the suggested code examples, benefit of the code explanations and the overall solution quality.
Journal ArticleDOI
Instructional Approaches: Anatomy Education of Physical Therapists
Ashley C. Simons,Ashley C. Simons,Kirk M. McHugh,Susan Appling,Shannon L. Harris,Jennifer M. Burgoon +5 more
TL;DR: Empirical evidence is added regarding current anatomy knowledge exhibited by physical therapists as the level of anatomical knowledge exhibited small differences based on instructional methods.
Journal ArticleDOI
Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases.
Xiaoyan Wang,Joseph T. Steensma,Matthew H. Bailey,Qianxi Feng,Hannah Padda,Kimberly J. Johnson +5 more
TL;DR: Differences exist in the characteristics of TCGA vs. general population cancer cases and this study highlights population subgroups where increased sample collection is warranted to increase the applicability of cancer genomic research results to all individuals.
Journal ArticleDOI
Using specific model statements to elicit information and cues to deceit in information-gathering interviews
Cody Normitta Porter,Aldert Vrij,Sharon Leal,Zarah Vernham,Giacomo Salvanelli,Niall McIntyre +5 more
TL;DR: The authors examined tailored Model Statements, emphasising either spatial (Spatial-MS), or temporal (Temporal-MS) details, compared to a control condition (no-MS).
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.