Dataset on grief in daily life among recently bereaved

DOI

The dataset originates from a study that used Experience Sampling Methodology (ESM) to assess Prolonged Grief Disorder (PGD) symptoms in daily life among bereaved people whose loved one died 3-6 months earlier. Participants completed ESM items on PGD as well as contextual factors (e.g., “who are you with?”) five times daily over a two-week period. Before and after the ESM phase, participants were interviewed by telephone assessing among others their symptomatology of PGD, posttraumatic stress disorder (PTSD), and depression using retrospective measures. More information about the procedure can be found at: Franzen, M., & Lenferink, L. (2024). Investigating reactivity effects of self-monitoring prolonged grief reactions in daily life: A randomized waitlist-controlled trial using experience sampling methodology. https://doi.org/10.13140/RG.2.2.26058.17601 Ergun, T. D., Bohlmeijer, E., Klooster, P. M. T., Westerhof, G. J., Franzen, M. & Lenferink, L. I. M. (2024). Assessing Prolonged Grief Symptoms Using Experience Sampling Methodology: The Development of the Prolonged Grief Disorder - Short Ecological Assessment (PGD-SEA) Scale. https://doi.org/10.13140/RG.2.2.16981.33762

Pociūnaitė-Ott, J., & Lenferink, L. (2024). A FAIR intense longitudinal data archive on prolonged grief in daily life. https://doi.org/10.13140/RG.2.2.12452.80004 This data is associated with: L.I.M. Lenferink; J. Pociūnaitė-Ott, 2025, "Grief in Daily life Archive (Grief-ID Archive)", https://doi.org/10.17026/SS/LNFAXI, DANS Data Station Social Sciences and Humanities, V2, UNF:6:lwOlVLKAoyhfY5H5PPiygw== [fileUNF] (2025-03-03)

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Identifier
DOI https://doi.org/10.17026/SS/RRJ6OW
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/SS/RRJ6OW
Provenance
Creator Lenferink, Lonneke ORCID logo; Franzen, Minita ORCID logo
Publisher DANS Data Station Social Sciences and Humanities
Contributor Lenferink, Lonneke
Publication Year 2025
Funding Reference NWO Talent Programme 2021 - Veni Vl.Veni.211G.065
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact Lenferink, Lonneke (University of Twente)
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 480228
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences