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Investigating Individual Variation Using Dynamic Structural Equation Modeling: A Tutorial with Tinnitus.

Thomas L Rodebaugh1, Marilyn L Piccirillo1, Madelyn R Frumkin1

  • 1Department of Psychological and Brain Sciences, Washington University in St Louis.

Clinical Psychological Science : a Journal of the Association for Psychological Science
|July 6, 2023
PubMed
Summary
This summary is machine-generated.

Standard group models may not reflect individual tinnitus experiences. Dynamic structural equation modeling (DSEM) showed group findings didn't generalize to most individuals, highlighting the need for personalized analysis in tinnitus research.

Keywords:
Tinnitusidiographic modelsintensive longitudinal datamultilevel analyses

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Area of Science:

  • Psychology
  • Medical Research
  • Data Science

Background:

  • Standard group-based research models may obscure individual differences.
  • Bothersome tinnitus is a heterogeneous condition requiring nuanced investigation.

Purpose of the Study:

  • To compare group-based versus individual predictors of bothersome tinnitus.
  • To demonstrate the application of dynamic structural equation modeling (DSEM) for intensive longitudinal data.
  • To assess the generalizability of group findings to individual cases.

Main Methods:

  • Utilized dynamic structural equation modeling (DSEM) with intensive longitudinal data.
  • Collected up to 200 survey responses per participant from 43 individuals with bothersome tinnitus.
  • Employed multi-level DSEM and fully idiographic models to analyze tinnitus bother, cognitive symptoms, and anxiety.

Main Results:

  • A reciprocal relationship was found between tinnitus bother and anxiety in multi-level DSEM models.
  • Fully idiographic models demonstrated poor fit for some individuals.
  • The multi-level model did not generalize to the majority of individuals, potentially due to limited statistical power.

Conclusions:

  • Group-level findings for tinnitus bother may not apply to individuals.
  • Dynamic structural equation modeling (DSEM) offers a valuable approach for studying individual variability in complex conditions.
  • Future research on heterogeneous conditions like tinnitus should consider personalized analytical methods.