Hello,
I built a questionnaire for my cross-sectional study based upon multiple previous studies but I'm facing a problem in determing the appropriate way to test validity and reliability, considering that my questionnaire contains different types of items:
A) Dichotomous items (yes/no). For example: Did you suffer from acne before? Yes/No
B) Polytomous items (only on answer allowed). For example: How old were you when you first had acne?
The internal consistency and reliability of the questionnaire, factors,
and items can be measured using Cronbach’s alpha. The feauture is available with SPSS software. Additionally, you can perform anti-image correlation, the Kaiser–Meyer–Olkin (KMO) test, and Bartlett’s test of sphericity to determine the sampling adequacy and to assess the factorability of the correlation matrix. For your refernce you may go through the method section of our following paper. https://www.frontiersin.org/articles/10.3389/fpubh.2022.1059610/full
@Kushal Grakh
Thank you for answering.
I know that Cronbach’s alpha can be applied on scale items (e.g., likert scale) and on items with true and false(s) answers, but is it applicable to my questionnaire with such a type of item as the items mentioned in the original post?
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