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September 22, 2025

Time-Related Considerations for Modeling Event-Based Data Collected via Ecological Momentary Assessment

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Authors

LBLizbeth BensonEHEmily T. HébertNHNicholas Hartman

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Overview

This article discusses survival analysis for event-based data in ecological momentary assessments, suggesting new research implications.

Key Points

  • Survival analysis allows researchers to examine when and how often events occur in time, reflecting daily experiences.
  • By applying survival analysis to ecological momentary assessment data, new and significant research questions arise for behavioral scientists.
  • This overview emphasizes the importance of time-based considerations in modeling event data to enhance methodological rigor.
  • Illustrative examples show various ways to apply survival analysis to understand psychosocial events captured through EMAs.

Cite This Study

Benson et al. (2025) studied this question.

synapsesocial.com/papers/68d46fdc31b076d99fa6a60dhttps://doi.org/10.31234/osf.io/hp6by_v1
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Also Consider

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  1. 1Applying continuous-time models to ecological momentary assessments: A practical introduction to the method and demonstration with clinical data2024 · 14 citations
  2. 2Transitions and Resilience in Ecological Momentary Assessment: a multiple single-case study2024
  3. 3Applying Ecological Momentary Assessment (EMA) to Understand Overweight and Obesity: A Systematic Review2025 · 5 citations
  4. 4A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two‐stage method2024
  5. 5A momentary assessment of the future of experience sampling research2024 · 3 citations