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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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Pena, Elizabeth D. – Child Development, 2007
In cross-cultural child development research there is often a need to translate instruments and instructions to languages other than English. Typically, the translation process focuses on ensuring linguistic equivalence. However, establishment of linguistic equivalence through translation techniques is often not sufficient to guard against…
Descriptors: Research Methodology, Linguistics, Validity, Child Development
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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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Metcalf, Kim K.; Legan, Natalie A. – Journal of School Choice, 2006
School vouchers, particularly since the landmark U.S. Supreme Court ruling on the Cleveland program, are one of the most contentious issues in American education. Seemingly contradictory results across available studies have caused confusion among diverse audiences. The authors suggest that these divergent findings are, in part, due to three…
Descriptors: Educational Vouchers, School Choice, Performance Factors, Research Methodology
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Goldsmith, Ronald E. – Journal of Social Psychology, 1989
Reports on a study that tested methods to control or reduce spurious response in order to improve survey technique. Examines two methods of controlling spurious response: alerting respondents that some questionnaire items are false, and using the "don't know" response option. Finds that only the "don't know" option actually…
Descriptors: Data Collection, Data Interpretation, Experimental Groups, Item Analysis