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http://dx.doi.org/10.15207/JKCS.2021.12.5.313

Development of Growth Model Using Ecological Momentary Assessment: Based on Senior Vitality Quotient  

Jeon, Hee Jin (Department of Psychology, Hallym University)
Song, Hye Sun (Department of Psychology, Hallym University)
Lee, Ji Hyun (Department of Psychology, Hallym University)
Park, Kiho (Department of Psychology, Korea University)
Choi, Kee-Hong (Department of Psychology, Korea University)
Seo, Dong Gi (Department of Psychology, Hallym University)
Publication Information
Journal of the Korea Convergence Society / v.12, no.5, 2021 , pp. 313-326 More about this Journal
Abstract
This study was to introduce ecological momentary assessment and show how to apply it to real-world research. As preliminary study for sustainable development, the result explained growth model using senior's longitudinal data and suitability of multi-level model in EMA data with regression analysis. The total variance of dependent variable was determined through a base model with only intercept and approximately 47% of total variance was caused by individual differences and 53% by time point differences. Second model was used to verified that each individual has a different effect on the senior vitality and effect on time was not significant. This is because it is the result of a preliminary stage where treatment is not involved and there is no significant change in process of collecting EMA data without external intervention. Third model that add gender as an independent variable showed significant change in both time and gender. Finally compared the PRD for each model and found models that without gender variables fit the data more effectively. This suggests that studies dealing with longitudinal data such as EMA data should adopt multi-level model that can measure individual characteristics, taking into account respondents' time and context.
Keywords
Convergence; Ecological Momentary Assessment; Growth Model; Senior Vitality Quotient; Multi-level Model; Longitudinal Data;
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