PSYC 2P25 Lecture Notes - Lecture 2: Inter-Rater Reliability, Tiger Woods, Construct Validity

• School: Brock University
• Department: Psychology
• Course: PSYC 2P25
• Professor: Michael Ashton

Document Summary

Reliability: a measurement is reliable if it agrees with other measurements of the same variable. When scores on a measurement are calculated as a sum ( or mean) of various parts (items) Scores should depend strongly on the common element of the items. Indicates the extent to which scores represent the common element of the items. How to make measurements have higher internal-consistency reliability: I(cid:374)(cid:272)lude (cid:858)ite(cid:373)s(cid:859) that are (cid:272)orrelated (cid:449)ith ea(cid:272)h other: ite(cid:373)s that (cid:272)orrelate stro(cid:374)gl(cid:455) (cid:449)ith each other are measuring a common characteristic. If items are uncorrelated with each other, the(cid:455) do(cid:374)(cid:859)t ha(cid:448)e a (cid:272)o(cid:373)(cid:373)o(cid:374) (cid:272)hara(cid:272)teristi(cid:272): might be measuring several different characteristics instead. When a characteristic is measured by obtaining ratings made by several positions. Scores on the total ( or average) rating should depend strongly on the raters common judgement. Indicates the extent to which overall scores represent the common element of the scores given by the various raters.