The Relation of Sample Size to the Number of Variables in Using Factor Analysis Techniques [microform] / Lawrence M. Aleamoni
- Bib ID:
- 5258815
- Format:
- Book and Microform
- Author:
- Aleamoni, Lawrence M
- Online Version:
- https://eric.ed.gov/?id=ED093994
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- Description:
-
- [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1974
- 8 p.
- Summary:
-
The relationship of sample size to number of variables in the use of factor analysis has been treated by many investigators. In attempting to explore what the minimum sample size should be, none of these investigators pointed out the constraints imposed on the dimensionality of the variables by using a sample size smaller than the number of variables. A review of studies in this area is made as well as suggestions for resolution of the problem. (Author)
- Notes:
- May also be available online. Address as at 14/8/18: https://eric.ed.gov/
- Reproduction:
- Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive.
- Subject:
- Genre/Form:
- Reports, Research
- Other authors/contributors:
- Illinois Univ., Urbana. Office of Instructional Resources
- Available From:
- ERIC
- Copyright:
-
In Copyright
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Copyright status was determined using the following information:
- Material type:
- Literary, dramatic or musical work
- Published status:
- Published
- Publication date:
- 1974
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