TECHNIQUES FOR INTERPRETING THE RESULTS OF FACTOR ANALYSIS IN RESEARCH WORK
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Abstract
Factor analysis is a statistical technique applying for reducing the number of variables when there are bunches of variables involved. This can be done by grouping the related variables under the condition that the relationship of those being grouped must be at a high level in either the same (positive) or different (negative) direction. The entire groups must have no or very low level of relationship. The preliminary conditions for this application are that: the number of selected variables should greater than 20; and the sample size must be 5 or 6 six times of the number of variables concerned. Therefore, this technique enables the researcher to interpret the meaning of each variable easier, more accurate and more reliable.
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References
Burns, N. & Grove, S. K. (1993). The practice of nursing research: conduct, critique, & utilization (4th ed.).Philadephia: W.B. Saunders company.
Byrne, B. M. (2001). Structural equation modeling with AMOS: basic concepts, applications, and programming.NJ: Lawrence Erlbaum Associates.
Joreskog, K. G. & Sorbom, D. (1989). LISREL 8: A Guide to the Program SPSS. Chicago: SPSS.
Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). USA: Hort, Rinehart and Winson.
Pinyo, T. (2013). Component Analysis of the Needs of Entrepreneurs towards the Bachelor of Science. Faculty of Science and Technology, Suan Sunandha Rajabhat University. [in Thai]
Rangsungnoen, G. (2011). Factor analysis by SPSS and AMOS for Research. Bangkok: Se-Education. [in Thai]
Singchongchai, P. (2006). Principles and Using of Multivariate Statistical Analysis for Nursing Research. Songkla: Chanmuang Press. [in Thai]
Stevens, J. (1992). Applied multivariate statistics for the social sciences (2nd ed.).Mahwah, NJ: Lawrence Erlbaum Associates.
Stevens, J. (1996). Applied multivariate statistics for the social sciences (3rd ed.).Mahwah, NJ: Lawrence Erlbaum Associates.
Tabachnick, B. G. & Fidell, L. S. (2001). Using multivariate statistics. Boston: Allyn and Bacon.
Vanichbuncha, K. (2017). Advanced Statistical Analysis by SPSS for Windows. Bangkok: Chulalongkorn University Book Center. [in Thai]
Wangsin, N. (2010). The Causal Relationship of Variables Affecting Teaching- learning Behaviors of Teachers at Yasothon Educational Area District Office 1: Route Analysis. Thesis, Master of Education, Graduate School, Ubon Ratchathani Rajabhat University. [in Thai]
Watpon.com. (n.d). Factor Analysis.Retrieved August 20, 2017, from www.watpon.in.th/spss23/spss11.pdfName and Surname: Terada PinyoHighest Education: M.Ed. (Educational Research), Chulalongkorn UniversityUniversity or Agency: Panyapiwat Institute of ManagementFields of Expertise: Applied Statistics, ResearchAddress: 85/1 Moo 2, Chaengwattana Rd., Bang Talad, Pakkred, Nonthaburi 11120
