"Failures to detect moderating effects with ordinary least squares-moderated multiple regression: Some reasons and a remedy": Correction to Morris et al.

Reports an error in "Failures to detect moderating effects with ordinary least squares-moderated multiple regression: Some reasons and a remedy" by James H. Morris, J. Daniel Sherman and Edward R. Mansfield (Psychological Bulletin, 1986[Mar], Vol 99[2], 282-288). Several errors went uncorrected. On page 283, the second line of the first full paragraph should read "in Equation 3...." On page 284, in the eighth line of the first full paragraph, the power in the equation should be "1/2," not "12." On page 287, in Table 4, the heading for column 6 should read "Adjusted SS for deletion of X?X?," not just "X?." The heading for column 7 should read "H?: β?=0c, partial F," not "β?." Finally, in line 3 of the table note, "X?X?" should read "X?,X?." (The following abstract of the original article appeared in record 1986-16215-001.) Describes a means for determining circumstances when ordinary least squares/moderated multiple regression (OLS/MMR) may be at risk in moderator applications and suggests an alternative regression procedure that can be used to overcome the threat of Type II error posed by these circumstances. Using field study data on job satisfaction of employees at state institutions for the developmentally disabled, parallel analyses are presented to show how markedly different results can be obtained between OLS/MMR and the remedial procedure. It is suggested that investigators who have reached conclusions with the traditional OLS/MMR approach reexamine their data. (23 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)