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Judge, George; Schechter, Laura – Journal of Human Resources, 2009
Good quality data is paramount for applied economic research. If the data are distorted, corresponding conclusions may be incorrect. We demonstrate how Benford's law, the distribution that first digits of numbers in certain data sets should follow, can be used to test for data abnormalities. We conduct an analysis of nine commonly used data sets…
Descriptors: Economic Research, Statistical Surveys, Statistical Studies, Statistical Data
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Bracey, Gerald W. – Educational Leadership, 2006
Education statistics are rarely neutral; those who collect and analyze them have different purposes. In this article, Bracey discusses several principles of data interpretation to help educators avoid falling into statistical traps. For example, because such reports as A Nation At Risk contain many "selected, spun, distorted, and even manufactured…
Descriptors: Educational Research, Statistical Data, Data Interpretation, Statistical Analysis
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Reckase, Mark D. – 1986
The work presented in this paper defined conceptually the concepts of multidimensional discrimination and information, derived mathematical expressions for the concepts for a particular multidimensional item response theory (IRT) model, and applied the concepts to actual test data. Multidimensional discrimination was defined as a function of the…
Descriptors: College Entrance Examinations, Difficulty Level, Discriminant Analysis, Item Analysis
Kane, Robert B. – 1968
An experimental study examined the possibility that proximity error could bias results from semantic differential questionnaires. Proximity error occurs when, due to the ordering, or polarity, of the differential scales, one answer on the semantic differential results in another answer to a subsequent question being substantially changed from what…
Descriptors: Evaluation, Factor Analysis, Item Analysis, Psychological Testing