I have 4 items to a questionnaire in which the answers were the same type of scale: from 0 to 5, 0 for always false and 5 for always true. I want to study if an item score can determine certain scores on other items.
I'm not sure if this is what you mean, but creating a series of 4 regressions (one for each item) will give you a way of predicting the score of any single item as a combination of the other 3.
I will give more details about the research: I have a group of 60 people with a disease. The four items is referring to how they relate to different medication (treatment) for that disease. So, the data are qualitative. I was interested to use a tool for studying the concordance between the answers obtain for each item. Cronbach Alpha would be good for this case?
What do you mean the data is qualitative? You have 4 items that have responses from "Always false" to "Always true" ranging from 0 to 5. That sounds quantitative.
Cronbach's Alpha would give you a summary of the internal consistency of the items as if they were part of a single scale. With such a small number of items and participants, however, I would be worried about huge fluctuations. You could try it. You could also look at the mean and variance of the intercorrelations.
Thank you for the answer and for the help in clarifying certain aspects of my research.
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