SLWK 380 Lecture Notes - Lecture 9: Criterion Validity, Face Validity, Content Validity
Document Summary
A procedure for assigning symbols, letters, or numbers to empirical properties of variables according to rules. Measurement error: when data do not accurately portray the concept we are attempting to measure . Measurement error that occurs when the information we collect consistently reflects a false picture of the concept we wish to measure. Error that occurs without a consistent pattern of effects and does not introduce bias into a measure. The relationship between questions, purpose, and design. Question explore qualitative or survey. Question explain quasi- or experiment. The extent to which a measurement tool actually measures what it purports to measure. The extent to which a measurement tool demonstrates consistency. Face validity: whether a measure seems like it would logically measure the intended variable. Content validity: whether a measure covers the range of meanings of a variable. Criterion validity: whether a measure relates to other indicators of a variable. Test-retest reliability: whether a measure performs the same way over time.
