Modern robust statistical methods: an easy way to maximize the accuracy and power of your research.
By David M Erceg-Hurn, Vikki M Mirosevich. American Psychologist, 2008
924 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/06815285bfbf114199027095ef46c8e6802a783c
How researchers see this paper
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In Computer Networks and Communications
- C. Zygmont
- Shinichi Nakagawa
- Jeffrey S Ashby
- Marie Delacre
- Rex Bryan Kline
- Mario R. Smith
- C. Leys
- Daniël Lakens
In Statistics and Probability
- I. Cleasby
- C. Zygmont
- Shinichi Nakagawa
- Jeffrey S Ashby
- Marie Delacre
- Rex Bryan Kline
- Mario R. Smith
- C. Leys
Citations in the corpus
- Advances in Continuous Traumatic Stress Theory: Traumatogenic Dynamics and Consequences of Intergroup Conflict: The Palestinian Adolescents Case (2013, methodology): “Bootstrapping is considered a more robust procedure used to compute p values, test hypotheses, and generate confidence intervals for direct and indirect effects (e.g., Erceg-Hurn & Mirosevich, 2008).”
- Why Psychologists Should by Default Use Welch's t-test Instead of Student's t-test with Unequal Group Sizes (2017, methodology): “However, Student’s t-test is generally only more powerful when the data are normally distributed (the assumption of normality) and the variances are equal in both groups (homoscedasticity; the assumption of homogeneity of variance; Carroll & Schneider, 1985; Erceg-Hurn & Mirosevich, 2008).”
- Resisting Everything except Temptation: Evidence and an Explanation for Domain–specific Impulsivity (2012, neutral): “….09 .14 .79 .03 .10 .10 .73 Binge drinking .09 .12 .74 .07 .07 .04 .71 Smoking in general .10 .15 .64 .08 .28 .11 .60 (Continues) 4We Winsorized (Erceg-Hurn & Mirosevich, 2008) subscale (e.g. food behaviour subscale) and outcome (e.g. GPA) distributions by replacing outliers, defined as scores…”
- The Mediation Myth (2015, background): “The problem with such tests is that their results are often wrong due in part to their own unrealistic assumptions (Erceg-Hurn & Mirosevich, 2008).”
- Neglected biological patterns in the residuals (2011, background): “Both Grissom and Kim (2005) and Erceg-Hurn and Mirosevich (2008) provide a more detailed discussion about why heteroscedasticity occurs in real data sets.”
- Robust factor analysis in the presence of normality violations, missing data, and outliers: Empirical questions and possible solutions (2014, methodology): “Erceg-Hurn and Mirosevich (2008) recommend the ANOVA-type statistic (ATS), also called Brunner, Dette, and Munk (BDM) method, as a robust alternative when distribution assumptions are violated.”