This chapter defines mismeasurement and categories three types of errors: errors of commission, omission, and judgment. Data is usually considered to be the object of analysis. But data is just a raw record of human observation. Data must be built into evidence prior to analysis. How do errors originate? Semantic confusion, assessment misunderstandings, logic flaws, arithmetic errors, and visual misrepresentation of evidence are among the reasons. The high frequency of teachers’ misinterpretation of test results is a starting point for asking how school districts detect errors of human judgment. The chapter advances two methods of analysis that are feasible for non-technical educators: comparative effectiveness and practical benefit. Finally, the chapter looks at the sources of resistance to evidence and empirical methods.
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