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MEASUREMENT: VALIDITY. Lu Ann Aday, Ph.D. The University of Texas School of Public Health. VALIDITY: Definition.
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MEASUREMENT: VALIDITY Lu Ann Aday, Ph.D. The University of Texas School of Public Health
VALIDITY: Definition • Extent of systematic departure in answers to questions in relationship to the meaning of the concept itself (content), equivalent measures of the same concept (criterion), or hypothesized associations with measures of similar or different concepts(construct).
VALIDITY: Types • Content validity • Criterion validity • Construct validity
VALIDITY: Computation • Requires analyzing the association between survey measures and documented definitions of the underlying concept (content); an equivalent “gold standard” of the survey measures (criterion); or theoretical associations with other abstract concepts (construct).
VALIDITY: Content • Definition: extent to which the survey measures adequately represent the concept of interest
VALIDITY: Content • Factors affecting: • Failure to thoroughly conduct background research on the definition & measurement of the study concept • Failure to clearly define the study concept
VALIDITY: Content • Computation: • 1. Identify domain or universe of interest through a thorough review of the literature. • 2. Select or construct questions based on the review. • 3. Ask subject matter experts to review the items you have selected or constructed.
VALIDITY: Content • Validity criteria: • 1. Is there at least one item to represent the concept? • 2. Are there enough items? • 3. Are the items well accepted, based on the literature & expert opinion? • 4. Are they reliable?
VALIDITY: Criterion • Definition: extent to which the survey measure predicts (predictive) or agrees with(concurrent) a criterion indicator of the concept of interest
VALIDITY: Criterion • Factors affecting: • Underreporting due to problems with recalling non-salient or frequently occurring events • Overreporting due to problems with telescoping salient events
VALIDITY: Criterion- Predictive: Correlation Analysis • Computation: Compute correlation coefficient between answers to survey question and futurecriterion source value for same concept : RespondentSurvey QuestionMD Observation 1 ADLs=3 ADLs=3 2 ADLs=2 ADLs=2 3 ADLs=1 ADLs=1 4 ADLs=0 ADLs=3 5 ADLs=0 ADLs=0
VALIDITY: Criterion- Concurrent: Correlation Analysis • Computation:Compute correlation coefficient between answers to survey question and currentcriterion source value for same concept: • RespondentSurvey QuestionClinic Record 1 BP=140/90 BP=140/90 2 BP=150/80 BP=150/80 3 BP=145/95 BP=145/95 4 BP=145/95 BP=120/80 5 BP=140/90 BP=140/90
VALIDITY: Criterion-Concurrent: Sensitivity-Specificity Analysis
VALIDITY: Criterion-Concurrent: Sensitivity-Specificity Analysis
VALIDITY: Construct • Definition: extent to which relationships between measures agree with relationships predicted by theories or hypotheses • Convergent – Ho: Related • Discriminant – Ho:Not Related
VALIDITY: Construct • Factors affecting: • Inadequate conceptualization or measurement of study constructs • Inadequate theory to guide specification of hypothesized relationships
VALIDITY: Construct: Correlation Analysis • Computation: Compute correlation coefficient between survey question or scales measuring construct and related (or unrelated) constructs : RespondentPhysicalMentalOverall 1 Good Fair Good 2 Good Fair Good 3 Good Fair Good 4 Good Fair Good 5 Good Fair Good
VALIDITY: Construct- Known Groups Validity Analysis (McHorney, et al., 1993, Table 3, p. 255)
VALIDITY: CONSTRUCT-Factor Analysis(McHorney, et al., 1993, Table 1, p. 251)
VALIDITY: Effect of Reliability • Theoretical • Variable can be no more valid than it is reliable. • Empirical • Rt = theoretical correlation between study & criterion variables (unobservable) • Rx = reliability of study variable (computed) • Ry = reliability of criterion variable (computed) • Rt * sqrt [ Rx * Ry] = Max. achievable correlation • 1.00 * sqrt [.60 * .80] = .69
REFERENCES • DeVellis, Robert F. (2003). Scale Development: Theory and Applications. Second Edition. Thousand Oaks, CA: Sage. • Gandek, B., & Ware, J.E., Jr., for the IQOLA Project (1998). Methods for validating and norming translations of health status questionnaires: The IQOLA Project Approach. J. Clinical Epidemiology, 51 (11), 953-959. • McHorney, C.A., Ware, J.E., Jr., & Raczek, A.E. (1993). The MOS 36-item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31(3), 247-263. [Note: Tables 1 and 3 adapted and reprinted with the permission of Lippincott, Williams & Wilkins, Publishers.]