NotesFAQContact Us
Search Tips
ERIC Number: ED449215
Record Type: Non-Journal
Publication Date: 2001-Feb-3
Pages: 13
Abstractor: N/A
Reference Count: N/A
Principal Components versus Principle Axis Factors: When Will We Ever Learn?
Thompson, Bruce; Vidal-Brown, Sherry A.
Analysts differ quite heatedly over the use of principal components rather than principle axis factor analysis. The difference between the two approaches involves the entries used on the diagonal of the matrix of associations that is analyzed. This paper uses an actual data set (N=539; variables =98) to illustrate that these two methods converge in their results when the number of variables is large, even if score reliabilities are low. (Contains 2 tables and 13 references.) (Author/SLD)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A