Literature DB >> 7832006

A measurement model of adolescent smoking.

R F Palmer1, J H Dwyer, N Semmer.   

Abstract

Self report measures of smoking may contain substantial measurement error. If these errors are nonrandom, then they may be correlated with substantive variables in epidemiologic or intervention studies, thus confounding and biasing estimates of structural relations. In efforts to circumvent such bias, investigators have supplemented questionnaires with biological indicators of exposure to tobacco smoke. However, errors in biological indicators may also include systematic errors that produce biased estimates. The current study was designed to estimate the variance of systematic and random errors in self report and two biologic measures of smoking in adolescents. A linear model was fit to data from 342 males and 250 females with repeated measures separated by 1 year. Thiocyanate and self report were found to have substantial nonrandom error components that were correlated with psychosocial variables. In contrast, errors in carbon monoxide in expired air were not autocorrelated, and were uncorrelated with psychosocial variables.

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Year:  1994        PMID: 7832006     DOI: 10.1016/0306-4603(94)90003-5

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  4 in total

Review 1.  Construct validity in health behavior research: interpreting latent variable models involving self-report and objective measures.

Authors:  Raymond F Palmer; John W Graham; Bonnie Taylor; James Tatterson
Journal:  J Behav Med       Date:  2002-12

2.  Response distortion in adolescents who smoke: a pilot study.

Authors:  L A R Stein; Suzanne M Colby; Tracy A O'Leary; Peter M Monti; Damaris J Rohsenow; Anthony Spirito; Suzanne Riggs; Nancy P Barnett
Journal:  J Drug Educ       Date:  2002

Review 3.  Advances in statistical methods for substance abuse prevention research.

Authors:  David P MacKinnon; Chondra M Lockwood
Journal:  Prev Sci       Date:  2003-09

4.  Health measurement in population surveys: combining information from self-reported and observer-measured health indicators.

Authors:  George B Ploubidis; Emily Grundy
Journal:  Demography       Date:  2011-05
  4 in total

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