Literature DB >> 25118228

Development of the PROMIS positive emotional and sensory expectancies of smoking item banks.

Joan S Tucker1, William G Shadel2, Maria Orlando Edelen3, Brian D Stucky4, Zhen Li5, Mark Hansen5, Li Cai5.   

Abstract

INTRODUCTION: The positive emotional and sensory expectancies of cigarette smoking include improved cognitive abilities, positive affective states, and pleasurable sensorimotor sensations. This paper describes development of Positive Emotional and Sensory Expectancies of Smoking item banks that will serve to standardize the assessment of this construct among daily and nondaily cigarette smokers.
METHODS: Data came from daily (N = 4,201) and nondaily (N =1,183) smokers who completed an online survey. To identify a unidimensional set of items, we conducted item factor analyses, item response theory analyses, and differential item functioning analyses. Additionally, we evaluated the performance of fixed-item short forms (SFs) and computer adaptive tests (CATs) to efficiently assess the construct.
RESULTS: Eighteen items were included in the item banks (15 common across daily and nondaily smokers, 1 unique to daily, 2 unique to nondaily). The item banks are strongly unidimensional, highly reliable (reliability = 0.95 for both), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.86). Results from simulated CATs indicated that, on average, less than 8 items are needed to assess the construct with adequate precision using the item banks.
CONCLUSIONS: These analyses identified a new set of items that can assess the positive emotional and sensory expectancies of smoking in a reliable and standardized manner. Considerable efficiency in assessing this construct can be achieved by using the item bank SF, employing computer adaptive tests, or selecting subsets of items tailored to specific research or clinical purposes.
© The Author 2014. 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.

Entities:  

Mesh:

Year:  2014        PMID: 25118228      PMCID: PMC4189403          DOI: 10.1093/ntr/ntt281

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  29 in total

1.  A multiple motives approach to tobacco dependence: the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68).

Authors:  Megan E Piper; Thomas M Piasecki; E Belle Federman; Daniel M Bolt; Stevens S Smith; Michael C Fiore; Timothy B Baker
Journal:  J Consult Clin Psychol       Date:  2004-04

2.  Dynamic self-efficacy and outcome expectancies: prediction of smoking lapse and relapse.

Authors:  Chad J Gwaltney; Saul Shiffman; Mark H Balabanis; Jean A Paty
Journal:  J Abnorm Psychol       Date:  2005-11

Review 3.  A bioinformational systems perspective on tobacco dependence.

Authors:  R Niaura; M Goldstein; D Abrams
Journal:  Br J Addict       Date:  1991-05

4.  Relapse situations and self-efficacy: an integrative model.

Authors:  W F Velicer; C C Diclemente; J S Rossi; J O Prochaska
Journal:  Addict Behav       Date:  1990       Impact factor: 3.913

5.  Immediate hedonic response to smoking lapses: relationship to smoking relapse, and effects of nicotine replacement therapy.

Authors:  Saul Shiffman; Stuart G Ferguson; Chad J Gwaltney
Journal:  Psychopharmacology (Berl)       Date:  2005-11-11       Impact factor: 4.530

6.  Generalized full-information item bifactor analysis.

Authors:  Li Cai; Ji Seung Yang; Mark Hansen
Journal:  Psychol Methods       Date:  2011-09

7.  Invited Paper: The Rediscovery of Bifactor Measurement Models.

Authors:  Steven P Reise
Journal:  Multivariate Behav Res       Date:  2012-09-01       Impact factor: 5.923

8.  The Smoking Effects Questionnaire for adult populations. Development and psychometric properties.

Authors:  Damaris J Rohsenow; David B Abrams; Peter M Monti; Suzanne M Colby; Rosemarie Martin; Raymond S Niaura
Journal:  Addict Behav       Date:  2003-09       Impact factor: 3.913

Review 9.  Relapse prevention for alcohol and drug problems: that was Zen, this is Tao.

Authors:  Katie Witkiewitz; G Alan Marlatt
Journal:  Am Psychol       Date:  2004 May-Jun

Review 10.  Mind-body practices: an alternative, drug-free treatment for smoking cessation? A systematic review of the literature.

Authors:  Laura Carim-Todd; Suzanne H Mitchell; Barry S Oken
Journal:  Drug Alcohol Depend       Date:  2013-05-08       Impact factor: 4.492

View more
  7 in total

1.  Calibration of the Spanish PROMIS Smoking Item Banks.

Authors:  Wenjing Huang; Brian D Stucky; Maria O Edelen; Joan S Tucker; William G Shadel; Mark Hansen; Li Cai
Journal:  Nicotine Tob Res       Date:  2016-01-31       Impact factor: 4.244

2.  Additional validity evidence for the PROMIS Smoking Assessment Toolkit.

Authors:  Maria O Edelen; Wenjing Huang; Brian D Stucky
Journal:  Addict Behav       Date:  2016-02-16       Impact factor: 3.913

3.  Psychometric Evaluation of the E-cigarette Dependence Scale.

Authors:  Meghan E Morean; Suchitra Krishnan-Sarin; Steve Sussman; Jonathan Foulds; Howard Fishbein; Rachel Grana; Stephanie S O'Malley
Journal:  Nicotine Tob Res       Date:  2019-10-26       Impact factor: 4.244

4.  The Psychometric Performance of the PROMIS Smoking Assessment Toolkit: Comparisons of Real-Data Computer Adaptive Tests, Short Forms, and Mode of Administration.

Authors:  Brian D Stucky; Wenjing Huang; Maria Orlando Edelen
Journal:  Nicotine Tob Res       Date:  2015-04-08       Impact factor: 4.244

5.  Development and psychometric validation of a novel measure of sensory expectancies associated with E-cigarette use.

Authors:  Meghan E Morean; Suchitra Krishnan-Sarin; Steve Sussman; Jonathan Foulds; Howard Fishbein; Rachel Grana; Bonnie Halpern-Felsher; Hyoshin Kim; Scott R Weaver; Stephanie S O'Malley
Journal:  Addict Behav       Date:  2018-08-31       Impact factor: 3.913

6.  The PROMIS Smoking Initiative: initial validity evidence for six new smoking item banks.

Authors:  Maria Orlando Edelen; Brian D Stucky; Mark Hansen; Joan S Tucker; William G Shadel; Li Cai
Journal:  Nicotine Tob Res       Date:  2014-09       Impact factor: 4.244

7.  Characterizing Sampling Variability for Item Response Theory Scale Scores in a Fixed-Parameter Calibrated Projection Design.

Authors:  Shuangshuang Xu; Yang Liu
Journal:  Appl Psychol Meas       Date:  2022-06-20
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.