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ERIC Number: EJ865094
Record Type: Journal
Publication Date: 2009
Pages: 7
Abstractor: ERIC
Reference Count: 22
ISSN: ISSN-0027-3171
Commentary on "Exploring the Sensitivity of Horn's Parallel Analysis to the Distributional Form of Random Data"
Hayton, James C.
Multivariate Behavioral Research, v44 n3 p389-395 2009
In the article "Exploring the Sensitivity of Horn's Parallel Analysis to the Distributional Form of Random Data," Dinno (this issue) provides strong evidence that the distribution of random data does not have a significant influence on the outcome of the analysis. Hayton appreciates the thorough approach to evaluating this assumption, and agrees that this knowledge helps further increase one's confidence in using the parallel analysis (PA) method for deciding how many factors to extract from a real data set. Dinno has clearly presented evidence that, in fact, the distributional assumption does not matter. This commentary addresses two issues. The first is the question of the distributional assumption, which forms the primary motivation for the article. The second and perhaps more critical issue is whether works such as these are having an impact on research methods in practice, as illustrated by the record of publications in major journals. This commentary is motivated primarily by Dinno's observation that "ironically, PA has enjoyed both a substantial affirmation in the methods literature for its performance relative to other retention criteria while at the same time being one of the least often used methods in actual empirical research (cf. Hayton et al., 2004; Patil et al., 2008; Thompson & Daniel, 1996; Velicer et al., 2000)." Hayton wishes to address this issue one more time, raise questions as to why this is the case, and challenge reviewers and journal editors to consider this important issue.
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Publication Type: Journal Articles; Opinion Papers; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A