<P> In statistics and research, internal consistency is typically a measure based on the correlations between different items on the same test (or the same subscale on a larger test). It measures whether several items that propose to measure the same general construct produce similar scores . For example, if a respondent expressed agreement with the statements "I like to ride bicycles" and "I've enjoyed riding bicycles in the past", and disagreement with the statement "I hate bicycles", this would be indicative of good internal consistency of the test . </P> <P> Internal consistency is usually measured with Cronbach's alpha, a statistic calculated from the pairwise correlations between items . Internal consistency ranges between negative infinity and one . Coefficient alpha will be negative whenever there is greater within - subject variability than between - subject variability . </P>

An internally consistent theory is one in which
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