ONBound-Harmonization User Guide (Stata/SPSS), Version 1.1

May, Antonia; Werhan, Katharina; Bechert, Insa; Quandt, Markus

[list]

dc.contributor.author	May, Antonia	de
dc.contributor.author	Werhan, Katharina	de
dc.contributor.author	Bechert, Insa	de
dc.contributor.author	Quandt, Markus	de
dc.date.accessioned	2021-04-13T15:25:08Z
dc.date.available	2021-04-13T15:25:08Z
dc.date.issued	2021	de
dc.identifier.issn	2364-3781	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/72442
dc.description.abstract	This document provides information on how to work with the data of the 'ONBound - Old and New Boundaries: National Identities and Religion' project. It outlines the project's starting point, the data harmonization procedures, the harmonization repository, the ONBound Harmonization Wizard, and most importantly, guides through the steps and procedures needed to compile a customized ONBound dataset. Chapter One of this user guide informs about citations for ONBound data and metadata. Chapter Two gives an overview of the available variables and the original datasets that were included. It also introduces our harmonization strategies. Chapter Three introduces the ONBound Harmonization Wizard. Finally, chapter four provides a step-by-step guide for the application of the ONBound harmonization routines.	de
dc.language	en	de
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.title	ONBound-Harmonization User Guide (Stata/SPSS), Version 1.1	de
dc.description.review	begutachtet	de
dc.description.review	reviewed	en
dc.source.volume	2021/04	de
dc.publisher.country	DEU
dc.publisher.city	Köln	de
dc.source.series	GESIS Papers
dc.subject.classoz	Erhebungstechniken und Analysetechniken der Sozialwissenschaften	de
dc.subject.classoz	Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods	en
dc.subject.thesoz	statistical analysis	en
dc.subject.thesoz	Codierung	de
dc.subject.thesoz	statistische Analyse	de
dc.subject.thesoz	Datengewinnung	de
dc.subject.thesoz	religiöse Faktoren	de
dc.subject.thesoz	Datendokumentation	de
dc.subject.thesoz	identity	en
dc.subject.thesoz	Harmonisierung	de
dc.subject.thesoz	data preparation	en
dc.subject.thesoz	coding	en
dc.subject.thesoz	Identität	de
dc.subject.thesoz	harmonization	en
dc.subject.thesoz	religious factors	en
dc.subject.thesoz	nationale Identität	de
dc.subject.thesoz	comparative research	en
dc.subject.thesoz	data capture	en
dc.subject.thesoz	vergleichende Forschung	de
dc.subject.thesoz	data documentation	en
dc.subject.thesoz	Datenaufbereitung	de
dc.subject.thesoz	national identity	en
dc.rights.licence	Creative Commons - Attribution 4.0	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10040547
internal.identifier.thesoz	10035472
internal.identifier.thesoz	10046991
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internal.identifier.thesoz	10050221
internal.identifier.thesoz	10040537
internal.identifier.thesoz	10040334
internal.identifier.thesoz	10068092
internal.identifier.thesoz	10040524
dc.type.stock	monograph	de
dc.type.document	Verzeichnis, Liste, Dokumentation	de
dc.type.document	list	en
dc.source.pageinfo	42	de
internal.identifier.classoz	10105
internal.identifier.document	30
dc.contributor.corporateeditor	GESIS - Leibniz-Institut für Sozialwissenschaften
internal.identifier.corporateeditor	133
internal.identifier.ddc	300
dc.identifier.doi	https://doi.org/10.21241/ssoar.72442
dc.description.pubstatus	Published Version	en
dc.description.pubstatus	Veröffentlichungsversion	de
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	2
internal.identifier.series	919
ssoar.wgl.collection	true	de
internal.pdf.wellformed	true
internal.pdf.ocr	null Page_2
internal.pdf.encrypted	false
ssoar.urn.registration	false	de
ssoar.doi.registration	true	de

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Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

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