Time-varying coefficient cumulative gap time models for intensive longitudinal ecological momentary assessment data with missingness

Author(s):  
Xiaoxue Li ◽  
Stewart J. Anderson ◽  
Saul Shiffman ◽  
Bo Zhang
Addiction ◽  
2021 ◽  
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Megan E. Piper ◽  
Timothy B. Baker ◽  
Deejay Zwaga ◽  
Daniel M. Bolt ◽  
Kate Kobinsky ◽  
...  

2019 ◽  
Vol 18 ◽  
pp. 100292 ◽  
Author(s):  
Dajana Rath ◽  
Derek de Beurs ◽  
Nina Hallensleben ◽  
Lena Spangenberg ◽  
Heide Glaesmer ◽  
...  

2017 ◽  
Vol 11 (3) ◽  
pp. 235-241 ◽  
Author(s):  
Ben Richardson ◽  
Matthew Fuller-Tyszkiewicz ◽  
Renee O’Donnell ◽  
Mathew Ling ◽  
Petra K. Staiger

2018 ◽  
Vol 12 ◽  
pp. 105-110 ◽  
Author(s):  
Adam Mikus ◽  
Mark Hoogendoorn ◽  
Artur Rocha ◽  
Joao Gama ◽  
Jeroen Ruwaard ◽  
...  

2019 ◽  
Author(s):  
Max Andrew Halvorson ◽  
Sarah Pedersen ◽  
Madison Feil ◽  
Liliana Lengua ◽  
Brooke S. G. Molina ◽  
...  

A test of the multilevel factor structure of impulsive states and traits. Using ecological momentary assessment data, we examined the within-person and between-person factor structure of five impulsive domains.


2021 ◽  
Author(s):  
IJsbrand Leertouwer ◽  
Noémi Katalin Schuurman ◽  
Jeroen Vermunt

Retrospective Assessment (RA) scores are often found to be higher than the mean of Ecological Momentary Assessment (EMA) scores about a concurrent period. This difference is generally interpreted as bias towards salient experiences in RA. During RA, participants are often asked to summarize their experiences in unspecific terms, which may indeed facilitate bias. At least in this unspecific form, the summary that participants apply to their remembered experiences can take many different forms. In this study, we reanalyzed an existing dataset (N = 92) using a repeated N = 1 approach. We reported on interindividual differences between EMA data and RA score, and assessed for each participant whether it was likely that their RA score was an approximation of the mean of their experiences as captured by their EMA data. We found considerable interpersonal differences in the difference between EMA scores and RA scores, as well as some extreme cases. Furthermore, for a considerable part of the sample (n = 46 for positive affect, n = 60 for negative affect), we did not reject the null hypothesis that their RA score represented the mean of their experiences as captured by their EMA data. We conclude that in its current unspecific form, RA may facilitate bias, although not for everyone. Future studies may determine whether more specific forms of RA reduce bias, while acknowledging interindividual differences.


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