Methodology for developing and evaluating the PROMIS smoking item banks

Mark Hansen, Li Cai, Brian D Stucky, Joan S Tucker, William G Shadel, Maria Orlando Edelen, Mark Hansen, Li Cai, Brian D Stucky, Joan S Tucker, William G Shadel, Maria Orlando Edelen

Abstract

Introduction: This article describes the procedures used in the PROMIS Smoking Initiative for the development and evaluation of item banks, short forms (SFs), and computerized adaptive tests (CATs) for the assessment of 6 constructs related to cigarette smoking: nicotine dependence, coping expectancies, emotional and sensory expectancies, health expectancies, psychosocial expectancies, and social motivations for smoking.

Methods: Analyses were conducted using response data from a large national sample of smokers. Items related to each construct were subjected to extensive item factor analyses and evaluation of differential item functioning (DIF). Final item banks were calibrated, and SF assessments were developed for each construct. The performance of the SFs and the potential use of the item banks for CAT administration were examined through simulation study.

Results: Item selection based on dimensionality assessment and DIF analyses produced item banks that were essentially unidimensional in structure and free of bias. Simulation studies demonstrated that the constructs could be accurately measured with a relatively small number of carefully selected items, either through fixed SFs or CAT-based assessment. Illustrative results are presented, and subsequent articles provide detailed discussion of each item bank in turn.

Conclusions: The development of the PROMIS smoking item banks provides researchers with new tools for measuring smoking-related constructs. The use of the calibrated item banks and suggested SF assessments will enhance the quality of score estimates, thus advancing smoking research. Moreover, the methods used in the current study, including innovative approaches to item selection and SF construction, may have general relevance to item bank development and evaluation.

© The Author 2013. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Figures

Figure 1.
Figure 1.
Analysis of three differential item functioning candidate items. Illustrative results for three items belong to the nicotine dependence domain. Separate parameter estimates were obtained for reference and focal group in the nondaily smoker sample. The Wald χ2 (shown in row 1 with the category response curves) is a test of equality for these estimates across the groups. wABC is the weighted area between the expected score curves (row 2). Posterior likelihoods (rows 3–7) were obtained for each response category (xi = 0,1,2,3,4) by multiplying the appropriate category response curve with a standard normal prior. The percentages of respondents in each category (combining the reference and focal groups) are shown, along with the expected a posteriori (EAP) scores.
Figure 2.
Figure 2.
Selected results: computerized adaptive test simulations. Three panels are presented for each domain (1–6) and group (daily or nondaily). The first panel displays the proportions of respondents receiving 0–10 items. The middle panel compares the CAT-based scores to the true or data-generating values. The final panel shows the SEs of measurement plotted against the CAT-based score estimate. Domains: (1) nicotine dependence, (2) emotional and sensory expectancies, (3) coping expectancies, (4) social motivations, (5) psychosocial expectancies, and (6) health expectancies.

Source: PubMed

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