Factor analysis adds new dimension to extension surveys

Journal of Extension

Volumn 37, Issue 5, 1999, Pages 99-106

  Santos, J Reynaldo A ^a   Clegg, Max D ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3242751365     PISSN: 10775315     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (5)

1. Cronbach, L.J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16,297-334.
2. Hatcher , L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: SAS Institute.
3. Kim, J.O. & Mueller, C.W. (1978). Factor analysis: Statistical methods and practical issues. Beverly Hills, CA: Sage Publications.
4. Santos, J.R.A., Lippke, L., & Pope, P. (1998). PROC FACTOR: A tool for extracting hidden gems from a mountain of variables. Proceedings of the Twenty-Third Annual SAS Users Group International Conference. (pp. 1330-1335). Cary, NC: SAS Institute.
5. SAS Institute Inc. (1985). SAS user's guide: Statistics, Version 5 Edition. Cary, NC: SAS Institute.