NEUR 2001 Lecture Notes - Lecture 4: Skin Fold, Concurrent Validity, Face Validity
19 Mar 2017
School
Department
Course
Professor
Document Summary
Lecture 4 define & measure variables con"t. Reducing error: error is reduced (never eliminated) when the testing procedure is standardized, sources of error, experimenter. Ensure experimenter behaves similarly with each subject. Same clothing/ experimenter/ script per participant: environmental. Choose best conditions for testing temperature, time of day, noise level: participant/ subject. Scoring: how will you score each participant/ subject, ensue same scoring protocol. 2 0 s e r o c s s e v e t. 1 0 0 s e r o c s s e v e t. Displaying & correlating variables: basic format of graphs, xy graphs, bar graphs, scatterplots. Scatterplot: correlation 2 events are related. Line of fit line that closely approximates data: correlation coefficient measured how well data is modeled by a linear equation (curvilinear) Identify behaviours associated with your construct: measure that behaviour, resulting measurements help define your construct, this process = operational definition. Procedure for indirectly measuring & defining an unobservable variable.
