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Unformatted text preview: Pitfalls of surveys and experiments Question ordering Measurement levels Open v. closed, categorical v. measurement, continuous v. discrete nominal, ordinal, interval, ratio Validity and reliability Differences between surveys, experiments, observational studies, case studies, and meta-analyses Sampling terminology and types of sampling Population, census, systematic sampling, stratified sampling Margin of error Types of variables Explanatory, confounding, independent, dependent Experimental designs Randomization, control groups, repeated measures, matched pairs Problems with experimental designs Placebo effect Generalization Observational studies Item Writing (steps, quality, etc.) Question Types (opened vs. closed, etc.) Wording problems in questions...
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This note was uploaded on 04/04/2011 for the course COM 200 taught by Professor Tamborini during the Fall '09 term at Michigan State University.
- Fall '09