More Statistical and Methodological Myths and Urban Legends by Charles E. Lance, Robert J. Vandenberg

By Charles E. Lance, Robert J. Vandenberg

This publication offers an up to date evaluate of typically undertaken methodological and statistical practices which are established in part in sound clinical cause and in part in unfounded lore. a few examples of those “methodological city legends” are characterised through manuscript opinions reminiscent of: (a) “your self-report measures be afflicted by universal strategy bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize those findings to the genuine world”; or (d) “your impact sizes are too low.”

What do those reviews suggest, and what's their old foundation? More Statistical and Methodological Myths and concrete Legends catalogs a number of of those quirky practices and descriptions right learn recommendations. issues coated comprise pattern dimension necessities, lacking facts bias in correlation matrices, detrimental wording in survey learn, and masses more.

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P. 244) Due to this limitation, they were unable, for example, to differentiate the variables from the correlation matrices that were dependent, independent, control, or moderator variables. This is important to consider because publication bias is more likely to emerge when some of the hypothesized relations are not found to be statistically significant (Kepes, McDaniel, Banks, Hurtz, & Donovan, 2011; Kepes, McDaniel, Brannick, & Banks, 2013). In sum, we assert that inferences cannot be made about the extent to which publication bias is or is not a problem based on the evidence provided by Dalton and colleagues (2012).

Why should it be that additive effects are transmitted by multiple factors but multiplicative effects are transmitted only by single factors? It shouldn’t. Conclusions and Recommendations The purpose of the present chapter is to encourage researchers in our field to recognize the perception that our science is viewed as soft as a call to arms. We cannot and should not ignore how important audiences (including the public at large, government agencies and personnel, and scientists in other disciplines) view our science.

27 We offer this bit of anecdotal yet shocking evidence of the reluctance of our field to consider brain research. One of the authors of this chapter recently had a review paper on the physiology of sleepiness and its effects on workplace outcomes rejected. That part isn’t the least bit shocking, particularly to the author in question, for whom such letters are entirely commonplace. What is shocking is the primary reason for the rejection. Consider this quote from the action letter: “Your manuscript focuses primarily on the physical, biological and psychological consequences of sleep deprivation.

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