Psychology 2800E Lecture Notes - Lecture 2: Law School Admission Test, Discriminant Validity, Construct Validity

• School: Western University
• Department: Psychology
• Course: Psychology 2800E
• Professor: Doug Hazelwood

Document Summary

Example: m your height (height is a concept, a word to describe a particular thing) Varies way: measure the distance between the top of head and bottom of feet, or the sea level. You slouched?) systematic error or bias (wearing shoes?) Observed score= true score + &- random error + or systematic error (or bias) Must minimize random and systematic error ( so observed score = true score). By maximizing the reliability and validity of measures. Reliability (minimizing random error: the more is better rule (random error will cancel out over repeated measurements) eg, grandfathers who cannot believe it . One says i cannot believe it, i have one grandchild and it is boy odd. One says ten all boys ----yes, the probability of 50/50 boy/girls here is logical to be surprised. B we can decrease random error by increasing the reliability of our measures. A measure is reliable if it measure things consistently.