PSY 370 Lecture Notes - Lecture 25: Standard Score, Construct Validity, Classical Test Theory
Document Summary
Lecture 10 combining items into scores pp. What are they useful for: representing trends in the data, demonstrates scores that represent high scores so they can be separated from average (prevalent) scores, as well as the lower scores. Asmd, the shape of the distribution stays the same. Subtract the mean from the observed score: be able to interpret various z-scores. Represents a negative or positive correlation amongst our variables. Z score by 10: be able to interpret various t-scores. Standardized and allows us to compare our scores to a normative set. All the people who scored below + half of the people who scored the exact same: be able to interpret various percentile scores. The (cid:862)bucket(cid:863) a person is in is their value (ex. They differentiate between people in the middle more than z-scores and sd units do! Where does measurement error come from: test construction. Content sampling how well do our items capture the construct.
