PSYC 4131 Lecture Notes - Lecture 2: Family-Wise Error Rate, Observational Error, Repeated Measures Design
Document Summary
Maybe on the 2nd test, but probs not. As far as variables, not any different than a one way t-test. Can also be matched subjects across conditions, but not used as much. Reduces error due to the removal of individual differences increase in power. Differences for pairs of scores are calculated (differences for each person, not mean scores. If the null is correct, the average difference is zero. The average and standard error of these differences are computed. The degrees of freedom is the number of different scores 1. i. e. df is 1. T= mean of the difference scores/standard error of the difference scores. Sampling distribution of all possible different scores obtained from the population. Null and alternative hypothesis; 2 tail (h0: d=0. Terms: treatment= the experimental manipulation, factor= iv treatment effect is the factor(s). One iv is referred to as a 1-way factor anova: level= number of conditions.
