Null hypothesis

Quantum mechanics

Biology

Statistics

Chromatography

Alpha (finance)

Power (physics)

Psychometrics

Paleontology

Cronbach's alpha

Physics

Test (biology)

Mathematics

Reliability (semiconductor)

Geometry

Sample size determination

Chemistry

Sample (material)

Consistency (knowledge bases)

Malaysian Journal of Medical Sciences

Reliability studies are commonly used in questionnaire development studies and questionnaire validation studies. This study reviews the sample size guideline for Cronbach's alpha test.Manual 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.For 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.In 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.

A Review on Sample Size Determination for Cronbach’s Alpha Test: A Simple Guide for Researchers