NotesFAQContact Us
Collection
Advanced
Search Tips
ERIC Number: ED427092
Record Type: Non-Journal
Publication Date: 1999-Jan
Pages: 37
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Higher-Order Factor Analysis: An Introductory Primer.
Evans, Victoria P.
The central objective of factor analysis is to explain the greatest amount of variance in a data set with the smallest number of factors. Higher-order analysis is an invaluable tool that offers the benefit of parsimony provided by first-order analysis with the opportunity to make data-based generalizations beyond the first-order. Higher-order analysis provides a hierarchical framework that better honors the reality with which many phenomena in the social sciences are perceived. Interpretation of higher-order factors requires careful understanding and consideration on the part of the individual researcher. A step-by-step discussion of a real factor analysis is provided to make computer-based results more clear. (Contains 1 figure, 12 tables, and 8 references.) (SLD)
Publication Type: Numerical/Quantitative Data; Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A