#SAA2025 abstract submission deadline is approaching!📢 There is still time to submit your abstract. Please be aware that the submission deadline will not be extended beyond the deadline date: 31 January, 2025.
Friendly reminder: The holidays are around the corner, and January always seems to fly by! Don’t forget to submit your abstracts for #SAA2025 before the January 31st deadline ⏰
Submit here: https://t.co/UBR31PzN2B
Looking forward to seeing you there!
🚨 It's finally here, ambulatory assessment enthusiasts!🚨 #SAA2025 call for submissions is OPEN!
📬You can now submit your abstracts via: https://t.co/UBR31Pzfd3
⏰Deadline for submitting abstracts is 31st of January.
Looking forward to your submissions!
📢SAA 2025 website is live and it's glowing ✨
You can check important dates about the conference, subscribe to our mailing list to stay up to date, and start exploring your way to Leuven!
Check it out here: https://t.co/XceHR0oQOA
First PhD project is out now! We explored the pressure not to feel bad from romantic partners. Findings show people report (sometimes very minor) pressure about 50% of the time, linked to negative emotions, emo suppression and conflict.
Read more here:
https://t.co/4DP2UUlqYB
📢📢 Exciting new PhD Opportunity! We are looking for a suitable PhD candidate for a fully funded project on "Developing personalised, real-time, contextual models of risk and protective factors for suicidal thoughts and behaviours”. https://t.co/JigzUkbwDI
📢Job ad
Postdoc position (full-time, 3 years) in the DFG project Reliability in Intensive Longitudinal Data in Aachen (topics: psychometrics, intensive longitudinal data / ambulatory assessment data).
https://t.co/H30RXJ9shj
Application deadline is June 16 @SAAscience
📢In this new preprint we investigated the consequences of missingness mechanisms and temporal patterns of missings on estimation performance of multilevel AR models using classical hierarchical modeling and DSEM. Work led by @bnjmnsms and @JordanRevol
https://t.co/CqEJe65Xtq
Wanting to get started in #ExperienceSampling (ESM/EMA) research? Join us in Leuven in March for our three-day course, organised by @ccp_leuven & the Quant Methods & Individual Diffs group @KU_Leuven Psychology. Info & registration here: https://t.co/BTRi33hhbW Pls RT!
Very cool website, R package, and tutorial paper on preprocessing data from ESM / EMA studies.
Website: https://t.co/CNDeQiynni
Preprint: https://t.co/IzbgnIZwqs
@EikoFried Thanks very much for sharing! I hope this will be useful to many!
I keep on developing the website and package, so new functions/topics/improvements will come.
Are you doing research with ESM & wondering how to make your data ready for analysis? Check the new preprint introducing a comprehensive framework for preprocessing ESM data developed by @JordanRevol. https://t.co/oZMNakASfq materials include a tutorial website and R functions
New preprint together with @AriensSigert , @JordanRevol , @GinetteLafit & Eva Ceulemans:
Episode-contingent experience-sampling designs can improve the estimation of autoregressive dynamics.
https://t.co/ugtOcViZ9f
The intuition: Sampling when an affective process is far ...
Also, if you are at the @SAAscience conference #SAA23AmsWe and you would like to learn how to select the sample size in intensive longitudinal research, we are organizing a post-conference workshop w/ @JordanRevol @MihaiAC & Eva Ceulemans
Looking forward to the @SAAscience conference #SAA23Ams in Amsterdam. On June 5 at 10:30h we are presenting at a symposium on tackling assumption violations in ESM data w/ @janne_adolf @DejonckheerEgon @JordanRevol @GeeraertsJoran @merijn_mestdagh
Are you interested in interpersonal relationships & quantitative methods? Eva Ceulemans & I are hiring a #PhD student to work on the optimal design of intensive longitudinal dyadic studies & Eva Ceulemans is hiring a #Postdoc to work on intensive longitudinal triadic data 👇
New preprint w/ @JordanRevol, @LjrCloos, Peter Kuppens & Eva Ceulemans. We investigate the effect of operationalizations of affect, and data preprocessing on power-based sample size decisions in intensive longitudinal studies https://t.co/81UCLjd1er