DocumentCode :
585202
Title :
Sample size guideline for exploratory factor analysis when using small sample: Taking into considerations of different measurement scales
Author :
Bujang, Mohamad Adam ; Ab Ghani, Puzziawait ; Soelar, Shahrul Aiman ; Zulkifli, N.A.
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2012
fDate :
10-12 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Sample size guideline for exploratory factor analysis (EFA) was long established however none investigate the effect from the difference of measurement scales. The authors are concern if researchers prefer to use the minimum number of sample size from the guideline in conducting EFA especially in the clinical setting since it is difficult to get enough sample size. Here, the authors present a guideline of sample size requirement according to various types of measurement scales and also suggest guideline if any researcher planned to apply the rule of thumb that proposes the smallest number of sample size for EFA.
Keywords :
medical computing; principal component analysis; sampling methods; clinical setting; exploratory factor analysis; measurement scales; principal component analysis; researcher planning; sample size guideline; sample size requirement; Correlation; Decision making; Diabetes; Guidelines; Loading; Reliability; Size measurement; Exploratory factor analysis; measurement scales and sample size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1581-4
Type :
conf
DOI :
10.1109/ICSSBE.2012.6396605
Filename :
6396605
Link To Document :
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