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Confirmatory factor analysis fit criteria typically are used to evaluate the unidimensionality of item banks. This study explored the degree to which the values of these statistics are affected by two characteristics of item banks developed to measure health outcomes: large numbers of items and nonnormal data.

Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption