Psychology 2820E Lecture Notes - Lecture 4: Content Validity, Standard Deviation, Convergent Validity
Document Summary
Validity: the degree to which the questionnaire or measurement procedure used actually measures what it claims to measure. Convergent validity: if the measure under consideration gives information that is consistent with information provided by other established measures of the construct all the measures converge to the same conclusion. Discriminant validity: if the measure under consideration does not correlate with measures of other, supposedly distinct and different constructs. Content validity: the degree to which the questions cover the full range of behaviours normally considered to be part of the constructs being assessed. Reliability: the degree to which measurements are consistent and do not contain measurement error (do you get the same thing every time?) Measurement error: variation in the measurements that result from chance factors or factors that are not what you are really trying to measure. A measure can be reliable but still be invalid: e. g. someone may posit that foot size is a measure of intelligence.