scholarly journals Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology

2020 ◽  
Vol 137 ◽  
pp. 110211 ◽  
Author(s):  
Jojanneke A. Bastiaansen ◽  
Yoram K. Kunkels ◽  
Frank J. Blaauw ◽  
Steven M. Boker ◽  
Eva Ceulemans ◽  
...  
2019 ◽  
Author(s):  
Jojanneke A. Bastiaansen ◽  
Yoram Kevin Kunkels ◽  
Frank Blaauw ◽  
Steven Marshall Boker ◽  
Eva Ceulemans ◽  
...  

One of the promises of the experience sampling methodology (ESM) is that it could be used to identify relevant targets for treatment, based on a statistical analysis of an individual’s emotions, cognitions and behaviors in everyday-life. A requisite for clinical implementation is that outcomes of person-centered analyses are not wholly contingent on the researcher performing them. To evaluate how much researchers vary in their analytical approach and to what degree outcomes vary based on analytical choices, we crowdsourced the analysis of one individual patient’s ESM data to 12 prominent research teams, asking them what symptom(s) they would advise the treating clinician to target in subsequent treatment. The dataset was from a 25-year-old male with a primary diagnosis of major depressive disorder and comorbid generalized anxiety disorder, who completed momentary assessments related to depression and anxiety psychopathology prior to psychotherapy. Variation was evident at different stages of the analysis, from preprocessing steps (e.g., variable selection, clustering, handling of missing data) to the type of statistics. Most teams did include a type of vector autoregressive model, which examines relations between variables (e.g., symptoms) over time. Although most teams were confident their selected targets would provide useful information to the clinician, not one advice was similar: both the number (0-16) and nature of selected targets varied widely. This study makes transparent that the selection of treatment targets based on personalized models using ESM data is currently highly conditional on subjective analytical choices and highlights key methodological issues that need to be addressed in moving toward clinical implementation. Research proposal, data and materials: osf.io/h3djy/


Author(s):  
Ozge Can

In organizational research, growing attention has been given to the dynamic nature of workplace relationships and how such dynamic processes shape key behavioural outcomes. Experience sampling methodology (ESM) brings more opportunity than any other research option to examine such fluctuations and relevant causal relationships. ESM can be described as a quantitative method which allows individuals to assess discrete evaluative states on multiple events by combining three distinct elements; person, variables and occasion. Despite its increasing prevalence and popularity, however, there has been only a few attempts to investigate the most appropriate design, measurement and analysis choices for experience sampling data. Even though ESM has been utilized in organizational research for some time, systematic investigations regarding how these issues have been addressed and how the method has been applied to specific organizational topics are limited. This study provides a systematic and critical assessment of the use of ESM in current organizational research (2010‑2020) by reviewing a random sample of 50 ESM studies indexed in ISI Web of Science with the aim of identifying the current state of practice. The selected studies were analysed based on several methodological aspects including the type of ESM protocol applied, sample characteristics, data sources, specified interval and total duration of data collection, structure and properties of designated measures, analytic strategy, and the research model to be tested. Findings show that organization studies vary considerably based on how they design and implement ESM. Moreover, despite the availability of good practices, many studies fail to attain recommended standards about sample size, data collection procedures, data characteristics and measurement quality. As such, this paper offers several insights regarding how time‑based within‑person frameworks can be improved in future studies to account for dynamic organizational phenomena.


2021 ◽  
pp. 014616722110567
Author(s):  
Sabrina Thai ◽  
Penelope Lockwood ◽  
Elizabeth Page-Gould

Cross-relationship comparisons are an integral part of relationship processes, yet little is known about the impact of these comparisons in daily life. The present research employed a dyadic experience-sampling methodology ( N = 78 couples) with end-of-day surveys, end-of-week follow-up, and a 6-month follow-up to examine how individuals make cross-relationship comparisons in daily life, the cumulative impact of these comparisons over time, and the dyadic consequences of such comparisons. Participants made more downward than upward comparisons; however, upward comparisons had a more lasting impact, resulting in decreased satisfaction and optimism, and less positive self-perceptions and partner perceptions, at the end of each day and the week. Individuals who made more upward comparisons were also less satisfied 6 months later. Individuals were also affected by their partner’s comparisons: On days when partners made more upward comparisons, they felt less satisfied and optimistic about their relationship and less positive about themselves and their partner.


2017 ◽  
Vol 16 (3) ◽  
pp. 125-136 ◽  
Author(s):  
Andrea M. Reina-Tamayo ◽  
Arnold B. Bakker ◽  
Daantje Derks

Abstract. This study contributes to the literature on work engagement and job demands-resources (JD-R) theory by exploring the momentary relations between episodic demands, resources, engagement, and performance during various activities (e.g., checking e-mails) within a day. Using experience-sampling methodology, 61 Dutch employees completed activity characteristics, engagement, and performance surveys at three different times during the day for one week. Results from 413 observations showed that 88% of the total variance in engagement fluctuates from activity to activity. Multilevel path analysis results confirmed that during activities, episodic engagement was positively related to performance, and mediated the positive associations of resources and negative associations of hindering demands with performance.


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