A p value can be interpreted as a (conditional) risk that a decision to reject Ho is a Type I error, but the p values reported in research papers are valid indications of the true risk of Type I error ONLY IF the data meet the assumptions for the test and the researcher has followed the rules that govern the use of significance test. Identify ONE of the most common researcher behaviors that make the actual risk of Type I error much higher than the “nominal” risk of type I error that is set by choosing an α level.
Answer to relevant QuestionsWhat factors influence the magnitude of risk of Type II error? What is an “exact” p value? How can you identify and remedy: errors in data entry, outliers, and missing data? Aronson & Mills (1959) did an experiment to see whether people's liking for a group is influenced by the severity of initiation. They reasoned that when people willingly undergo a severe initiation in order to become a ...Explain the following equation: (Yij – My) = (Yij – Mi) + (Mi – My) What do we gain by breaking the (Yij – My) term into two separate components, and what do each of these components represent? Which of the terms on ...
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