ArticleThe Malaysian journal of medical sciences : MJMS2018
A Review on Sample Size Determination for Cronbach's Alpha Test: A Simple Guide for Researchers.
Article in The Malaysian journal of medical sciences : MJMS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06431724 (A Prospective Analysis of Adherence to National Cervical Cancer Screening Recommendations in Women Age >65), which is not on this map. Cited by 216 papers.
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A Prospective Analysis of Adherence to National Cervical Cancer Screening Recommendations in Women Age >65
Who cites it
216 citing papers in PubMed.
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156 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReliability studies are commonly used in questionnaire development studies and questionnaire validation studies. This study reviews the sample size guideline for Cronbach's alpha test.
methodsManual sample size calculation using Microsoft Excel software and sample size tables were tabulated based on a single coefficient alpha and the comparison of two coefficients alpha.
resultsFor a single coefficient alpha test, the approach by assuming the Cronbach's alpha coefficient equals to zero in the null hypothesis will yield a smaller sample size of less than 30 to achieve a minimum desired effect size of 0.7. However, setting the coefficient of Cronbach's alpha larger than zero in the null hypothesis could be necessary and this will yield larger sample size. For comparison of two coefficients of Cronbach's alpha, a larger sample size is needed when testing for smaller effect sizes.
conclusionsIn the assessment of the internal consistency of an instrument, the present study proposed the Cronbach's alpha's coefficient to be set at 0.5 in the null hypothesis and hence larger sample size is needed. For comparison of two coefficients' of Cronbach's alpha, justification is needed whether testing for extremely low and extremely large effect sizes are scientifically necessary.
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