2017
DOI: 10.3389/fpsyg.2017.01666
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When One Shape Does Not Fit All: A Commentary Essay on the Use of Graphs in Psychological Research

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Cited by 18 publications
(23 citation statements)
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“…Before running the other analyses, all data were examined for skewness, kurtosis, outliers, and normalcy by both exploratory analyses and graphs, i.e., violin plots and boxplots (Pastore, Lionetti, & Altoè, 2017). The normal Probability-Probability plot of the standardized residuals showed points that were close on the line, and the scatterplot of the standardized residuals showed that the data met the assumptions of homogeneity of variance and linearity for all dependent variables.…”
Section: Discussionmentioning
confidence: 99%
“…Before running the other analyses, all data were examined for skewness, kurtosis, outliers, and normalcy by both exploratory analyses and graphs, i.e., violin plots and boxplots (Pastore, Lionetti, & Altoè, 2017). The normal Probability-Probability plot of the standardized residuals showed points that were close on the line, and the scatterplot of the standardized residuals showed that the data met the assumptions of homogeneity of variance and linearity for all dependent variables.…”
Section: Discussionmentioning
confidence: 99%
“…For example, although there is some controversy about the use of bar-graphs to display results (see Bar Bar Plots Project 2017 5 ; Pastore et al 2017), there is a consensus that bar graphs showing means are uninterpretable without including error bars representing standard errors, standard deviations, or confidence intervals; when including error bars, the measure they represent should be clearly indicated.…”
Section: Discussionmentioning
confidence: 99%
“…Graphics o er many advantages over traditional methods that rely on tables and reported statistics. First, visuals are perhaps the most important tool available to enhance transparency, as they provide a medium to display the data in their entirety (Pastore, Lionetti, & Altoè, 2017;Tay et al, 2016). Audiences can see, at a glance, the appropriateness of the model, the size of the e ect, and the degree of uncertainty.…”
Section: Introductionmentioning
confidence: 99%