PSYC 3090 Lecture Notes - Lecture 4: Criterion Validity, Content Validity, Construct Validity

• School: York University
• Department: Psychology
• Course: PSYC 3090
• Professor: Krista Trobst

Document Summary

Domain sampling extent to which specific sources of variation under defined conditions are contributing to the test score. Generalizability (cid:271)ased o(cid:374) the idea that a pe(cid:396)so(cid:374)"s test s(cid:272)o(cid:396)es (cid:448)a(cid:396)y f(cid:396)o(cid:373) testi(cid:374)g to testi(cid:374)g because of variables in the testing situation. I(cid:374)stead of (cid:272)o(cid:374)(cid:272)ei(cid:448)i(cid:374)g of (cid:448)a(cid:396)ia(cid:271)ility i(cid:374) a pe(cid:396)so(cid:374)"s s(cid:272)o(cid:396)e as e(cid:396)(cid:396)o(cid:396), c(cid:396)o(cid:374)(cid:271)a(cid:272)h e(cid:374)(cid:272)ou(cid:396)aged test developers + researchers to describe the details of the particular test situation or universe leading to a specific test score. Universe described in terms of its facets, including number of items in test, amount of training people received etc. Item-response theory provides a way to model the probability that a person with x ability will be able to perform at a level of y. Standard error of measurement: abbreviated as sem, provides measure of the precision of an observed test score. Can be used to estimate extent to which observed score deviates from a true score.