![]() ![]() In short, Cronbach's alpha splits all the questions on your instrument every possible way and computes correlation values for them all (we use a computer program for this part). For example, you could write two sets of three questions that measure the same concept (say class participation) and after collecting the responses, run a correlation between those two groups of three questions to determine if your instrument is reliably measuring that concept. Internal consistency estimates reliability by grouping questions in a questionnaire that measure the same concept. Instructions, time limits, assertation examples formed should be equal. ![]() ![]() The range and level of difficulty of the items should also be equal. The test should contain the same number of items and items should be express in the same form and should cover the same type of content. ![]()
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