@techreport{kieffer_orthogonal_1998,
	title = {Orthogonal {Versus} {Oblique} {Factor} {Rotation}: {A} {Review} of the {Literature} {Regarding} the {Pros} and {Cons}},
	shorttitle = {Orthogonal {Versus} {Oblique} {Factor} {Rotation}},
	url = {https://eric.ed.gov/?id=ED427031},
	abstract = {Factor analysis has been characterized as being at the heart of the score validation process. In virtually all applications of exploratory factor analysis, factors are rotated to better meet L. Thurstone's simple structure criteria. Two major rotation strategies are available: orthogonal and oblique. This paper reviews the numerous rotation options available in the factor analysis literature, examining the pros and cons of various analytic choices. A heuristic data set was examined to make the discussion concrete. Some guidelines are also offered for resolving differences in the analytic choices so that the appropriate rotation methods can be selected. (Contains 10 tables and 16 references.) (Author/SLD)},
	language = {en},
	urldate = {2024-07-29},
	author = {Kieffer, Kevin M.},
	month = nov,
	year = {1998},
	note = {ERIC Number: ED427031},
	keywords = {Factor Analysis, Heuristics, Literature Reviews, Oblique Rotation, Orthogonal Rotation, Scores, Tables (Data), Validity},
}

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