Work

Between- and within-person predictors of missingness in intensive longitudinal data among people in outpatient treatment for opioid use disorder.

Year: 2026

Type: article

Study design: Observational Study

Abstract: = 0.82, 95% CI [0.68, 0.99]). We conclude that people who tend to have more difficult day-to-day experiences (i.e., higher stress, craving), and moments when people's moods are more positive, may contribute to under- or overestimation of effects tested in EOD data. The adaptive delivery of surveys based on person- and prompt-level characteristics (i.e., following elevated positive moods) could be one approach to maximizing survey completion. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Source: Psychological Assessment

DOI: 10.1037/pas0001454

Authors: Samuel W. Stull, Jacqueline Mogle, Leigh V. Panlilio, Rachel Wolchok, Stephanie T. Lanza, Jeremiah W. Bertz, David H. Epstein

Institutions: Dartmouth College, RTI International, National Institute on Drug Abuse, Pennsylvania State University

Language: English

Topic: Mental Health Research Topics

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funders: National Institutes of Health, National Institute on Drug Abuse, Intramural Research Program

Awards: The Role of Nondrug Reward in Recovery from Opioid Use Disorder: Intrapersonal and Socio-spatial Contexts in Daily Life, G8734636787, Promoting Rapid Uptake of Multilevel Latent Class Modeling via Best Practices: Investigating Heterogeneity in Daily Substance Use Patterns, Real-Time Assessment of Drug Use, Along with Mental States and Environments

OpenAlex ID: W7129397256

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