• 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