2013
DOI: 10.3389/fpsyg.2013.00451
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How Mean is the Mean?

Abstract: In this paper we voice concerns about the uncritical manner in which the mean is often used as a summary statistic in psychological research. We identify a number of implicit assumptions underlying the use of the mean and argue that the fragility of these assumptions should be more carefully considered. We examine some of the ways in which the potential violation of these assumptions can lead us into significant theoretical and methodological error. Illustrations of alternative models of research already extan… Show more

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Cited by 84 publications
(108 citation statements)
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References 49 publications
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“…This anecdote nicely dovetails with Speelman and McGann's (2013) assertion that psychological researchers tend to use procedures that involve calculating means in an uncritical manner. The goal of this article is to emphasize that there are procedures that do not involve calculating means, which are perfectly sound to answer research questions.…”
supporting
confidence: 66%
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“…This anecdote nicely dovetails with Speelman and McGann's (2013) assertion that psychological researchers tend to use procedures that involve calculating means in an uncritical manner. The goal of this article is to emphasize that there are procedures that do not involve calculating means, which are perfectly sound to answer research questions.…”
supporting
confidence: 66%
“…As indicated by Speelman and McGann (2013), calculating a mean of some dependent variable as a first step of other statistical procedures is only one of a range of procedures available for the psychological researcher. There are two main reasons why psychological researchers tend to overlook the type of analyses presented above.…”
Section: Resultsmentioning
confidence: 99%
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“…Functional neuroimaging methods such as fMRI, PET, fNIRS, EEG, or MEG have allowed the non-invasive assessment of functional changes in the aging human brain (Cabeza, 2001;Cabeza et al, 2018). Most previous functional neuroimaging studies on aging have employed a task-based design (Grady, 2012) and in their data analysis the central tendency has typically been assumed to be the most representative value in a distribution (e.g., mean) (Speelman and McGann, 2013) or the "signal" within distributional "noise". In recent years, also the variability of brain activation in task-dependent and task-independent measurements (as spontaneous variations of background activity) has been shown to provide relevant information about the brain's functional state (Garrett et al, 2013b;Grady and Garrett, 2018;Nomi et al, 2017).…”
Section: Introductionmentioning
confidence: 99%