PSYB04H3 Lecture Notes - Lecture 12: Diederik Stapel, Mmr Vaccine Controversy, Null Hypothesis
Document Summary
Beta, alpha, power clarified: as alpha increase, power increases, type i error: concluding there is an effect when there is none. Incorrect failure to reject the null (null is true) Incorrectly accepting null hypothesis (?: beta ( ): probability of a type ii error (pink area below) If it"s in the news and published in high quality journal, that doesn"t mean that its an important research finding: there"s still questions that you need to ask 1430. Stuff happens that changes the level: decisions researchers make, such as: (based on article, control variables, extra things that were measured. Such as gender, age, income etc: problem is if they include these measures in their analysis (not actually measuring them, comparisons, ex. It"s a data point that"s unusual and far from the rest of the pattern: researcher has to decide what to do with it. In theory, supposed to report what they do with the outliers, but it may not actually happen.
