Data · dataset · 2025
Assessing Prolonged Grief Symptoms Using Experience Sampling Methodology: The Development of the Prolonged Grief Symptoms - Short Ecological Assessment (PGS-SEA) Scale
Listed in DANS Data Station Social Sciences and Humanities and ODISSEI Portal — shown once because both records carry DOI 10.17026/ss/djsgvz
This study examined the psychometric properties of 11 items that were developed by Lenferink and colleagues (2022) to assess Prolonged Grief Disorder (PGD) in Experience Sampling Methodology (ESM) studies.
Description
The anonymized data is publicly available. The SPSS syntax files, R codes, and MPlus input and output files that are used for the analyses can be found under the related folders.
The findings from the study can be accessed using the following link: researchgate.net/publication/387335142_Assessing_Prolonged_Grief_Symptoms_Using_Experience_Sampling_Methodology_The_Development_of_the_Prolonged_Grief_Disorder_-_Short_Ecological_Assessment_PGD-SEA_Scale Lenferink, L. I. M., van Eersel, J. H. W., & Franzen, M. (2022). Is it acceptable and feasible to measure prolonged grief disorder symptoms in daily life using experience sampling methodology?.
Read the rest (1 more)
Comprehensive Psychiatry, 119, 152351.
Links
Where it is published
- Dataverse dataset page ssh.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FSS%2FDJSGVZ ↗
landing page · from ssh datastations nl
- Dataverse dataset page portal.odissei.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FSS%2FDJSGVZ ↗
landing page · from portal odissei nl
- DOI doi.org/10.17026/ss/djsgvz ↗
DOI / persistent id · from ssh datastations nl
Catalogue records · 2
- Dataverse API ssh.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FSS%2… ↗
metadata API · from ssh datastations nl
- Dataverse API portal.odissei.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FSS%2… ↗
metadata API · from portal odissei nl
Topics
- Stated by source
- Social Sciences · Social Sciences
- From keywords
- Humanities · Life Sciences · Life Sciences · Social Science · Social Science
- Inferred from text
- Ecology 69%
Provenance · 2 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Social Sciences and Humanities | doi:10.17026/SS/DJSGVZ | 9 d ago | JSON v1 |
| ODISSEI Portal | doi:10.17026/SS/DJSGVZ | 6 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3103 | enrichment · ssh datastations nl | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:social-sciences | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| created_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| description | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /description |
| publication_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| title | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /name |
| updated_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| version_label | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 |