Characterizing the reinforcing value of tobacco using a cigarette purchase task: An item response theory approach.


Journal

Experimental and clinical psychopharmacology
ISSN: 1936-2293
Titre abrégé: Exp Clin Psychopharmacol
Pays: United States
ID NLM: 9419066

Informations de publication

Date de publication:
Jun 2020
Historique:
pubmed: 27 9 2019
medline: 27 9 2019
entrez: 27 9 2019
Statut: ppublish

Résumé

The Cigarette Purchase Task (CPT) affords a high-resolution index of the reinforcing efficacy of nicotine. Although a high number and steep progression of prices have traditionally been used, attention is now placed on developing brief measures of this task. This study sought to assess the psychometric properties of a brief CPT for assessing cigarette demand in treatment-seeking smokers with and without depressive symptoms. The study sample comprised 360 participants (210 with and 150 without depressive symptomatology). We tested the effect of different CPT price densities (14-19) on the variation of CPT indices and provided a thorough assessment of its reliability using 2 different approaches: the classical test theory and item response theory models. Reliability analyses indicated that the 14-item CPT performed the best in terms of reliability across study samples. The CPT's information functions for this shortened version yielded the highest precision at medium levels of the measured construct (for theta values between -0.4 and 0.4). O

Identifiants

pubmed: 31556676
pii: 2019-57042-001
doi: 10.1037/pha0000323
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

291-298

Subventions

Organisme : Spanish Ministry of Science, Innovation, and Universities; National Agency of Research
Organisme : MINECO/European Regional Development Fund (FEDER)

Auteurs

Roberto Secades-Villa (R)

Department of Psychology.

Sara Weidberg (S)

Department of Psychology.

José Muñiz (J)

Department of Psychology.

James MacKillop (J)

Peter Boris Centre for Addictions Research.

Classifications MeSH