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.
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