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A Factor Analytic Interpretation Strategy [microform] / Margaret L. Harris and Chester W. Harris
Bib ID 5212802
Format BookBook, MicroformMicroform, OnlineOnline
Author
Harris, Margaret L
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1970 
43 p. 
Summary

The use of a strategy for determining the comparable common factors in a set of data are illustrated in this report. Both orthogonal and oblique derived solutions were obtained for each of several different initial factor methods. The results were compared across the various solutions and three types of factors were determined: comparable common factors, comparable specific factors, and non-comparable factors. Factor results used for this illustration are the reanalyses of the data of nine of the Guilford studies as previously reported by one of these authors. The number of comparable common factors for the data in any one of the matrices is always considerable fewer than the number of common factors obtained by Guilford. A few of the CCF's agree rather closely with common factors obtained by Guilford. In many instances two or more of Guilford's common factors coalesce into one comparable common factor. (Author/FL)

Notes

Contract Number: OEC-5-10-154.

Sponsoring Agency: Office of Education (DHEW), Washington, DC. Bureau of Research.

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Measurement.  |  Statistical Analysis.  |  Statistical Data.  |  Data Analysis.  |  Educational Research.  |  Factor Analysis.  |  Research Methodology.
Other authors/contributors Harris, Chester W., author  |  Wisconsin Univ., Madison. Research and Development Center for Cognitive Learning
Available From ERIC 
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008 080220s1970    xxu ||| b     ||| | eng d
035 |9(ericd)ED044309
035 |a5212802
037 |aED044309|bERIC
040 |aericd|beng|cericd|dMvI
088 |aTR-115
091 |amfm
100 1 |aHarris, Margaret L.
245 1 2 |aA Factor Analytic Interpretation Strategy|h[microform] /|cMargaret L. Harris and Chester W. Harris.
260 |a[Washington, D.C.] :|bDistributed by ERIC Clearinghouse,|c1970.
300 |a43 p.
500 |aContract Number: OEC-5-10-154.|5ericd
500 |aSponsoring Agency: Office of Education (DHEW), Washington, DC. Bureau of Research.|5ericd
520 |aThe use of a strategy for determining the comparable common factors in a set of data are illustrated in this report. Both orthogonal and oblique derived solutions were obtained for each of several different initial factor methods. The results were compared across the various solutions and three types of factors were determined: comparable common factors, comparable specific factors, and non-comparable factors. Factor results used for this illustration are the reanalyses of the data of nine of the Guilford studies as previously reported by one of these authors. The number of comparable common factors for the data in any one of the matrices is always considerable fewer than the number of common factors obtained by Guilford. A few of the CCF's agree rather closely with common factors obtained by Guilford. In many instances two or more of Guilford's common factors coalesce into one comparable common factor. (Author/FL)
530 |aMay also be available online. Address as at 14/8/18: |uhttps://eric.ed.gov/
533 |aMicrofiche.|b[Washington D.C.]:|cERIC Clearinghouse|emicrofiches : positive.
650 0 7 |aMeasurement.|2ericd
650 0 7 |aStatistical Analysis.|2ericd
650 0 7 |aStatistical Data.|2ericd
650 1 7 |aData Analysis.|2ericd
650 1 7 |aEducational Research.|2ericd
650 1 7 |aFactor Analysis.|2ericd
650 1 7 |aResearch Methodology.|2ericd
700 1 |aHarris, Chester W.,|eauthor.
710 2 |aWisconsin Univ., Madison. Research and Development Center for Cognitive Learning.
856 4 1 |uhttps://eric.ed.gov/?id=ED044309
984 |aANL|cmc 2253 ED044309|d77000000052951
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