Abstract
A series of factor analyses was performed upon data obtained from 170 university students. It was found that the commonly accepted factor analysis “stop” criterion calling for cessation of factor extraction with the last factor attaining an eigenvalue of one resulted in an unrealistic factor structure. It was demonstrated that the extraction and rotation o f two additional factors produced a more meaningful pattern of factors. It was suggested that the conservative investigator might make use of only those factors attaining eigenvalues equal to or greater than one, but that the initial extraction and rotation of a few additional factors may lead to an improved understanding of the relationships underlying the data.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication, with the work [SPECIFY PERIOD OF TIME] after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).