LISS panel - Feeling invisible - Uncovering the most robust predictors of perceived ostracism - Dataset

Dataset

LISS panel - Feeling invisible - Uncovering the most robust predictors of perceived ostracism

DOI PID

This project aims to uncover which factors predict ostracism best. For this, respondents were asked about their recent social experiences.

Suggestions for data usage: The data files are accessible via Centerdata. For more information, please use the link under Relations or www.lissdata.nl.

Identifier
DOI	https://doi.org/10.17026/dans-x85-9ph8
PID	https://nbn-resolving.org/urn:nbn:nl:ui:13-or-ekpc
Metadata Access	https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:268181

Provenance
Creator	Ren, D.; Centerdata
Publisher	DANS/KNAW
Contributor	Centerdata
Publication Year	2023
Rights	info:eu-repo/semantics/restrictedAccess; License: https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess	false

Representation
Resource Type	Dataset
Format	SPSS; STATA; CSV; PDF
Discipline	Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage	The Netherlands