Momentary assessment research in psychosis.

2009 ◽  
Vol 21 (4) ◽  
pp. 498-505 ◽  
Author(s):  
Margreet Oorschot ◽  
Thomas Kwapil ◽  
Philippe Delespaul ◽  
Inez Myin-Germeys
2019 ◽  
Vol 53 (1) ◽  
pp. 76-85 ◽  
Author(s):  
Jason L. Scott ◽  
Angela J. Wozencroft ◽  
Steven N. Waller

2020 ◽  
Vol 52 (7S) ◽  
pp. 1111-1111
Author(s):  
Jason R. Hackett ◽  
Daniel Clark ◽  
Susan Ofner ◽  
Wanzhu Tu ◽  
NiCole R. Keith

2017 ◽  
Vol 50 (10) ◽  
pp. 1222-1230 ◽  
Author(s):  
Kelly C. Berg ◽  
Li Cao ◽  
Ross D. Crosby ◽  
Scott G. Engel ◽  
Carol B. Peterson ◽  
...  

Mindfulness ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 2455-2469
Author(s):  
Matthew C. Enkema ◽  
Lauren McClain ◽  
Elizabeth R. Bird ◽  
Max A. Halvorson ◽  
Mary E. Larimer

2020 ◽  
Author(s):  
Thomas B. Woolf ◽  
Attia Goheer ◽  
Katherine Holzhauer ◽  
Jonathan Martinez ◽  
Janelle W. Coughlin ◽  
...  

UNSTRUCTURED Collecting data on daily habits across a population of individuals is challenging. Circadian ecological momentary assessment (cEMA) is a powerful frame for observing the impact of daily living on long-term health. In this paper we: 1) Describe the design and rationale for specifications of a mobile-based cEMA application (mobile App) to collect timing of eating and sleeping data, and 2) Compare cEMA and survey data as part of a 6-month observational cohort study assessing the association between timing of eating and sleeping and weight. The ultimate goal of this paper is to summarize our experience and lessons learned with the Daily24 mobile App and to highlight the pros and cons of this data collection modality. Our particular use case illustrates general trends for this type of App. Data collected through the mobile application captured more variability in eating windows than data collected through a one-time survey, though at a significant cost. Researchers should consider the potential uses of a mobile App beyond the initial data collection when deciding whether the time and monetary expenditure is advisable for their situation and goals.


Assessment ◽  
2020 ◽  
pp. 107319112097685
Author(s):  
Aja Louise Murray ◽  
Manuel Eisner ◽  
Denis Ribeaud ◽  
Tom Booth

Ecological momentary assessment (EMA) holds significant potential within aggression research. It affords researchers the possibility of collecting data in ecological context, in near real time. However, there is a lack of measures of aggression that have been developed and validated for use in EMA contexts. In this study, we report on the validation of a measure specifically designed to address this need: the Aggression-ES-A. Building on a previous pilot study, we evaluate the within- and between-person reliability, nomological net and associations with a validated trait measure of aggression of the Aggression-ES-A in a sample of N = 255 emerging adults from the Zurich Project on Social Development from Childhood to Adulthood (z-proso). Using multilevel confirmatory factor analysis and structural equation modeling, we found support for the factorial validity, reliability, and concurrent validity of the Aggression-ES-A scores. Results support the use of the Aggression-ES-A in EMA studies utilizing community-ascertained samples.


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