PSY 310 Lecture Notes - Lecture 16: Positive Illusions, Missing Data, Repeated Measures Design

• School: Stony Brook University
• Department: Psychology
• Course: PSY 310
• Professor: chai

Document Summary

Designing, conducting, analyzing, and interpreting experiments with two groups. Between-subjects comparison: a contrast between groups that were randomly assigned. Within-subjects comparison: a contrast between groups of matched pairs, natural pairs, or through repeated measures. Ra(cid:374)do(cid:373)izi(cid:374)g is very si(cid:373)ple, do(cid:374)"t (cid:374)eed to go to the trou(cid:271)le of (cid:373)easuri(cid:374)g your parti(cid:272)ipa(cid:374)ts o(cid:374) some variables and then match them. Missing data is less likely because participants are only involved once. So(cid:373)eti(cid:373)es it"s i(cid:373)possi(cid:271)le to use a (cid:272)orrelated groups desig(cid:374) Reduces the number of participants you need to recruit. Provides more control because it improves equality of groups tested (on variables that you consider important) Reduces error variability, more likely to achieve statistically significant results than with independent groups. Null hypothesis: the ratings about likelihood of divorce for people themselves versus the average person will not differ. Experimental hypothesis: the ratings about the likelihood of divorce for people themselves verses the average person will differ. Groups: repeated measures- the same group tested repeatedly.