Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kristof Meers"'
Publikováno v:
JMIR Formative Research, Vol 7, p e43296 (2023)
BackgroundThe experience sampling methodology (ESM) has long been considered as the gold standard for gathering data in everyday life. In contrast, current smartphone technology enables us to acquire data that are much richer, more continuous, and un
Externí odkaz:
https://doaj.org/article/b00a4150951640e5a443015f87d833e8
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 9, p e1007181 (2019)
In various fields, statistical models of interest are analytically intractable and inference is usually performed using a simulation-based method. However elegant these methods are, they are often painstakingly slow and convergence is difficult to as
Externí odkaz:
https://doaj.org/article/731981b6f1c641bbb91d854e920ddbb8
Publikováno v:
Kalokerinos, Elise K; Moeck, Ella K; Rummens, Koen; Meers, Kristof; Mestdagh, Merijn (2022). Ready for the Worst? Negative Affect in Anticipation of a Stressor Does Not Protect Against Affective Reactivity. (In Press). Journal of Personality and Social Psychology American Psychological Association 10.1111/jopy.12787
INTRODUCTION: Lay wisdom suggests feeling negative while awaiting an upcoming stressor-anticipatory negative affect-shields against the blow of the subsequent stressor. However, evidence is mixed, with different lines of research and theory indirectl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adaaf65f45d2719483610a7670758ec8
https://boris.unibe.ch/174014/1/Journal_of_Personality_-_2022_-_Kalokerinos_-_Ready_for_the_Worst_Negative_Affect_in_Anticipation_of_a_Stressor_Does_Not.pdf
https://boris.unibe.ch/174014/1/Journal_of_Personality_-_2022_-_Kalokerinos_-_Ready_for_the_Worst_Negative_Affect_in_Anticipation_of_a_Stressor_Does_Not.pdf
BACKGROUND The experience sampling methodology (ESM) has long been considered as the gold standard for gathering data in everyday life. In contrast, current smartphone technology enables us to acquire data that are much richer, more continuous, and u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a2d5ca91a8d0cc892371c1fdbf71654
https://doi.org/10.2196/preprints.43296
https://doi.org/10.2196/preprints.43296
The use of multilevel VAR(1) models to unravel within-individual process dynamics is gaining momentum in psychological research. These models accommodate the structure of intensive longitudinal datasets in which repeated measurements are nested withi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b417969591a6616aa7a16798a36312bc
Autor:
Eva Ceulemans, Francis Tuerlinckx, Peter Kuppens, Kristof Meers, Jedelyn Cabrieto, Janne Adolf, Evelien Schat
In many scientific disciplines, researchers are interested in discovering when complex systems such as stock markets, the weather or the human body display abrupt changes. Essentially, this often comes down to detecting whether a multivariate time se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54b232a44502ce0ccf6d95863a276cd5
https://lirias.kuleuven.be/handle/123456789/674109
https://lirias.kuleuven.be/handle/123456789/674109
In this article we introduce mobileQ, which is a free, open-source platform that our lab has developed to use in experience sampling studies. Experience sampling has several strengths and is becoming more widely conducted, but there are few free soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f99e7f19e0bcdcfe62276b98ac23f39
https://lirias.kuleuven.be/handle/123456789/643591
https://lirias.kuleuven.be/handle/123456789/643591
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 15, Iss 9, p e1007181 (2019)
PLoS Computational Biology, Vol 15, Iss 9, p e1007181 (2019)
In various fields, statistical models of interest are analytically intractable and inference is usually performed using a simulation-based method. However elegant these methods are, they are often painstakingly slow and convergence is difficult to as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89db853bf9e781d40f42587e64fcf69d
https://pubmed.ncbi.nlm.nih.gov/31498789
https://pubmed.ncbi.nlm.nih.gov/31498789
Publikováno v:
Emotion. 13:1132-1141
Depression not only involves disturbances in prevailing affect, but also in how affect fluctuates over time. Yet, precisely which patterns of affect dynamics are associated with depressive symptoms remains unclear; depression has been linked with inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eaf02a16849e1fd7ba541a5d2050490
https://doi.org/10.1037/a0033579
https://doi.org/10.1037/a0033579
Publikováno v:
Behavior research methods. 48(1)
In this paper, we present software for the efficient simulation of a broad class of linear and nonlinear diffusion models for choice RT, using either CPU or graphical processing unit (GPU) technology. The software is readily accessible from the popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a725c0e69561a31fb10795bf5027545
https://pubmed.ncbi.nlm.nih.gov/26424439
https://pubmed.ncbi.nlm.nih.gov/26424439