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Longitudinal Research02:20

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Compliance and response consistency in a lengthy intensive longitudinal data protocol.

Alexander W Sokolovsky1, Rachel L Gunn1, Andrea M Wycoff1

  • 1Center for Alcohol and Addiction Studies, Brown University.

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Compliance with intensive longitudinal data (ILD) collection decreases over time, especially in longer studies. Substance use may impact survey response consistency and noncompliance in alcohol and cannabis research.

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Area of Science:

  • Psychology
  • Addiction Research
  • Data Science

Background:

  • Intensive longitudinal data (ILD) collection is crucial for understanding real-world substance use patterns.
  • Long assessment windows in ILD studies pose challenges to participant compliance and response consistency.
  • Prior research on factors influencing compliance and consistency in ILD is limited.

Purpose of the Study:

  • To investigate how compliance and response consistency are sustained over time in a lengthy ILD protocol.
  • To examine event- and person-level influences on compliance and response consistency in college students reporting alcohol and cannabis co-use.
  • To evaluate the impact of time and measurement burst on noncompliance and response consistency.

Main Methods:

  • Utilized linear mixed effects models within a multilevel interrupted time series framework.
  • Analyzed data from 316 college students participating in two 28-day bursts of ILD, with five daily surveys each.
  • Assessed noncompliance (missed surveys) and response consistency (discrepancy in drinking reports).

Main Results:

  • Time was positively associated with noncompliance, indicating decreased compliance over the study duration.
  • The rate of noncompliance increased in the second measurement burst.
  • Neither time nor measurement burst significantly affected response consistency; however, same-day substance use appeared to impact both nonresponse and consistency.

Conclusions:

  • Participant compliance generally decreased across the lengthy ILD protocol, while response consistency remained stable.
  • Shorter assessment windows or adaptive prompting strategies could potentially enhance study compliance.
  • Further research on daily burden and context is necessary to optimize future ILD designs for substance use studies.