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Does Statistical Precision Validate Results?
Generally, two kinds of error affect the validity of statistical measurements. Random error introduces error variance, but as it occurs randomly across respondents, it does not add statistical bias to the data. Systematic error is consistent across respondents, creating a bias within the data that may or may not be known. Typically, the causes for these kinds of error fall into two categories: sampling error, arising in the process of building a respondent pool; and measurement error, arising from the way the questionnaire is constructed.
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