PSY202H1 Lecture Notes - Lecture 2: Bonferroni Correction, Decision Rule, Type I And Type Ii Errors
Document Summary
Making comparisons of groups, 1 independent variable: 2 groups, between subjects: independent samples t test, 2 groups, within subjects: paired samples t test. To increase precision, we know more if we measure more. Having more than two evels of one iv. More experimental conditions allow us to be more precise . Pros and cons of adding levels to iv. Advantages: advance the theory with precision, gives insight into non linear effects and we can see curvilinear relationships, for effects that are complex, it reduces both, the number of experiments conducted, the number of participants needed. Costs: for individual studies, it increases sample size, which means increase in time and money necessary, there is also a statistical cost, which has to do w the method we use to analyze 3 groups at a time: But, this inflates the likelihood of type 1 error! (when running a single test, we decide on our alpha level.
