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Principles of Exposure Measurement in EpidemiologyCollecting, Evaluating, and Improving Measures of Disease Risk Factors$
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Emily White, Bruce K. Armstrong, and Rodolfo Saracci

Print publication date: 2008

Print ISBN-13: 9780198509851

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780198509851.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 11 May 2021

Validity and reliability studies

Validity and reliability studies

(p.97) 4 Validity and reliability studies
Principles of Exposure Measurement in Epidemiology

Emily White

Bruce K. Armstrong

Rodolfo Saracci

Oxford University Press

This chapter covers the design, analysis, and interpretation of validity and reliability studies, particularly for exposure measures used in epidemiologic studies. It covers both intramethod (e.g., test-retest) reliability studies and intermethod reliability studies (e.g., in which a measurement method to be used in an epidemiological study is compared to a more accurate but not perfect method). Measures of reliability are primarily important for what they reveal about the validity of a measure, and this concept is emphasized for both design and interpretation of reliability studies. The choice of an analysis technique depends on whether the exposure is measured as a continuous variable or a categorical variable and whether the study is a validity or intermethod study vs. an intramethod study. For intramethod studies, versions of the intraclass correlation coefficient are used for continuous exposure variables and versions of kappa are used for categorical variables.

Keywords:   correlated errors, method comparison studies, inter-rater reliability, intraclass correlation coefficient, Cohen's kappa, weighted kappa, sensitivity, specificity, within-subject variance, coefficient of variation

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