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 Influence of Process Parameters on the Surface Roughness in Aesthetic Machining of Wooden Edge-Glued Panels (EGPs)
Abdullah Sütçü,Ümmü Karagöz +1 more
TL;DR: In this article, the effect of processing parameters on surface roughness as a result of aesthetic designs processed on walnut, chestnut, and beech wood edge-glued panels (EGPs) by CNC (computer numerical control) router was explored.
Journal ArticleDOI
Differential mosquito attraction to humans is associated with skin-derived carboxylic acid levels
Maria Elena De Obaldia,Takeshi Morita,Laura C. Dedmon,Daniel J Boehmler,Caroline S. Jiang,Emely V. Zeledon,Justin R. Cross,Leslie B. Vosshall +7 more
TL;DR: In this paper , the authors found that highly attractive people produce significantly more carboxylic acids in their skin emanations, and that such compounds contribute to differential mosquito attraction to human skin odour.
Journal ArticleDOI
Personalized messages in a brewery educational simulation: Is the personalization principle less robust than previously thought?
TL;DR: The results indicate that personalization is not always beneficial to learning, which raises important questions for future research.
Journal ArticleDOI
Non-invasive neurophysiological measures of learning: A meta-analysis.
TL;DR: A first model is proposed to aid further studies that are needed to examine the exact interplay between learning, neurophysiology, behavior, individual differences, and task‐related aspects, as well as to guide future research.
Journal ArticleDOI
Assessment of blind source separation techniques for video-based cardiac pulse extraction.
Daniel Wedekind,Alexander Trumpp,Frederik Gaetjen,Stefan Rasche,Klaus Matschke,Hagen Malberg,Sebastian Zaunseder +6 more
TL;DR: This contribution investigates the performance of BSS to enhance the cardiac pulse from cbPPGs in dependency to varying input data characteristics by using monochrome inputs (green wavelength) instead of inputs of different wavelengths.
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.