The anonymous mixing of Fisherian (<italic>p</italic>-values) and Neyman--Pearsonian (α levels) ideas about testing, distilled in the customary but misleading <italic>p</italic> α criterion of statistical significance, has led researchers in the social and management sciences (and elsewhere) to commonly misinterpret the...

In a recent edition of this journal, Borgatta et al. (1986), using hypothetical data, illustrated how the results produced by principal components analysis can be substantially different from those of common factor analysis. The present article, using seven well-known data sets, extends their...

The present paper addresses questions raised by Ball and Sawyer (2013--this issue) on Hubbard and Lindsay´s (this issue) article. In particular, it responds explicitly to their concerns about the possible drawbacks of using overlapping confidence intervals as a measure of significant sameness,...

Complaints about the value of academic business research in addressing real world issues are common. A change in research paradigms—from significant difference to significant sameness—is necessary to improve this situation. The present paper challenges research orthodoxy as representing poor...