With an increased recognition of the chronic relapsing nature of drug addiction, national efforts are being made to foster the redesign and development of recovery-oriented system of care in order to support sustained recovery. There is a clear need to develop a comprehensive measurement tool that captures the multidimensionality of recovery. Meanwhile, awareness of the enormous advantages of Item Response Theory (IRT) is growing rapidly in the behavioral research community. The goal of this proposed project is to use IRT to help develop, evaluate, and provide initial validity evidence for a measure of recovery. To achieve this goal, we will conduct secondary analyses on data collected in the national Drug Abuse Treatment Outcome Studies (i.e., DATOS that includes adult patients, and DATOS-A that includes adolescent patients) which contain a comprehensive set of measures pertinent to recovery. The project is organized around three specific aims. We will apply IRT methods to screen and identify potential items that can enhance the measurement of recovery from the existing pool of measures in DATOS (Aim 1). We will investigate potential measurement non- invariance in the developed recovery scale across subgroups defined by gender or age (Aim 2). We will also obtain initial validity evidence of the developed recovery scale via longitudinal data analysis (Aim 3). The application of the state-of-the-art IRT methodology will lead to a recovery measure that is psychometrically sound, forming a solid foundation that can be continuously improved upon. In addition, the application of IRT to solve measurement problems in addiction research is not only substantively innovative, but would lead to significant opportunities for methodological advancements as well. Taken together, we believe the proposed study has the potential for making significant unique contributions to drug addiction research, treatment and evaluation, and to the IRT methodology in behavioral measurement.

Public Health Relevance

A sound measure of recovery from drug addiction has important implications for how treatment systems should be structured, delivered, and evaluated. This proposed research will develop an improved measure of recovery, and will gather initial validity evidence of the developed recovery measure. The improved measure is relevant to public health as it will improve monitoring and evaluation of substance abuse-related services designed to initiate and promote recovery from addiction.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA030466-03
Application #
8307470
Study Section
Special Emphasis Panel (ZRG1-PSE-J (50))
Program Officer
Wiley, Tisha R A
Project Start
2010-09-15
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2014-08-31
Support Year
3
Fiscal Year
2012
Total Cost
$224,070
Indirect Cost
$78,570
Name
University of California Los Angeles
Department
None
Type
Schools of Education
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Cai, Li (2015) Lord-Wingersky Algorithm Version 2.0 for Hierarchical Item Factor Models with Applications in Test Scoring, Scale Alignment, and Model Fit Testing. Psychometrika 80:535-59
Tucker, Joan S; Shadel, William G; Edelen, Maria Orlando et al. (2014) Development of the PROMIS Social Motivations for Smoking item banks. Nicotine Tob Res 16 Suppl 3:S241-9
Stucky, Brian D; Edelen, Maria Orlando; Tucker, Joan S et al. (2014) Development of the PROMIS negative psychosocial expectancies of smoking item banks. Nicotine Tob Res 16 Suppl 3:S232-40
Edelen, Maria Orlando; Tucker, Joan S; Shadel, William G et al. (2014) Development of the PROMIS health expectancies of smoking item banks. Nicotine Tob Res 16 Suppl 3:S223-31
Shadel, William G; Edelen, Maria Orlando; Tucker, Joan S et al. (2014) Development of the PROMIS coping expectancies of smoking item banks. Nicotine Tob Res 16 Suppl 3:S202-11
Edelen, Maria Orlando; Stucky, Brian D; Hansen, Mark et al. (2014) The PROMIS Smoking Initiative: initial validity evidence for six new smoking item banks. Nicotine Tob Res 16 Suppl 3:S250-60
Shadel, William G; Edelen, Maria Orlando; Tucker, Joan S et al. (2014) Development of the PROMIS nicotine dependence item banks. Nicotine Tob Res 16 Suppl 3:S190-201
Tucker, Joan S; Shadel, William G; Edelen, Maria Orlando et al. (2014) Development of the PROMIS positive emotional and sensory expectancies of smoking item banks. Nicotine Tob Res 16 Suppl 3:S212-22
Cai, Li (2013) Potential applications of latent variable modeling for the psychometrics of medical simulation. Mil Med 178:115-20
Cai, Li; Yang, Ji Seung; Hansen, Mark (2011) Generalized full-information item bifactor analysis. Psychol Methods 16:221-48

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