▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
▶️Harmonized (meta-)data, fully open-source software
▶️Filter & search all data, simply download via R/Python
Find out more:
🌐 openesmdata.org
📝 doi.org/10.31234/osf...
▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
▶️Harmonized (meta-)data, fully open-source software
▶️Filter & search all data, simply download via R/Python
Find out more:
🌐 openesmdata.org
📝 doi.org/10.31234/osf...
Register for our online course ‘Modeling the dynamics of intensive longitudindal data’ which starts in October 2025! 🤩
utrechtsummerschool.nl/courses/data...
Register for our online course ‘Modeling the dynamics of intensive longitudindal data’ which starts in October 2025! 🤩
utrechtsummerschool.nl/courses/data...
In this paper, we evaluate and compare different non-parametric approaches for modeling non-linearity in psychological intensive longitudinal data.
In this paper, we evaluate and compare different non-parametric approaches for modeling non-linearity in psychological intensive longitudinal data.
Register or sponsor a student by donating to support Ukraine!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky #RStats
Register or sponsor a student by donating to support Ukraine!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky #RStats
More info: bit.ly/4iQSzI7
Please share!
#RStats #EconSky #AcademicSky
More info: bit.ly/4iQSzI7
Please share!
#RStats #EconSky #AcademicSky
I’m excited to share our preprint titled: "Modeling Non-Linear Psychological Processes: Reviewing and Evaluating Non-Parametric Approaches and Their Applicability to Intensive Longitudinal Data."
Check out the full preprint here: osf.io/preprints/ps...
Any feedback is welcome!
1/3
I’m excited to share our preprint titled: "Modeling Non-Linear Psychological Processes: Reviewing and Evaluating Non-Parametric Approaches and Their Applicability to Intensive Longitudinal Data."
Check out the full preprint here: osf.io/preprints/ps...
Any feedback is welcome!
1/3