A simple more general boxplot method for identifying outliers

By Neil C. Schwertman, Margaret Ann Owens, Robiah Adnan. Computational Statistics & Data Analysis, 2004

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The shifting boxplot. A boxplot based on essential summary statistics around the mean. (2010, background): “Similarly, Schwertman, Owens, and Adnah (2004) present a boxplot which modifies the computations of whiskers’ limits under the assumption of normality and large samples (see also Sim, Gan, & Chang, 2005).”
An adjusted boxplot for skewed distributions (2008, methodology): “The methods presented in Schwertman et al. (2004) and Schwertman and de Silva (2007) have the limitation that the resulting constants are based on the expected value of the quartiles, and on some theoretical quantiles, which are in general not known in advance.”
What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity (2013, methodology): “We inspected the data for the presence of outliers using the inter-quartile range (IQR) criterion [32].”
Motor Interference, But Not Sensory Interference, Increases Midfrontal Theta Activity and Brain Synchronization during Reactive Control (2021, background): “More specifically, we excluded all participants whose error rates or reaction times deviated.1.5 times of the interquartile range from the overall sample (Schwertman et al., 2004).”