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