Design of Rating Scales in Questionnaires (Version 2.0)

Menold, Natalja; Bogner, Kathrin

[working paper]

dc.contributor.author	Menold, Natalja	de
dc.contributor.author	Bogner, Kathrin	de
dc.date.accessioned	2018-03-13T12:33:33Z
dc.date.available	2018-03-13T12:33:33Z
dc.date.issued	2016	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/56365
dc.description.abstract	Rating scales are among the most important and most frequently used instruments in social science data collection. There is an extensive body of methodological research on the design of rating scales and on their (psycho-)metric properties. In this contribution, the authors address individual aspects of questionnaire construction with regard to rating scales. A brief overview of the current state of research is given, a number of accounts of practical experiences are presented, and - to the extent that this is possible - recommendations for the design of rating scales are given.	en
dc.language	en	de
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.title	Design of Rating Scales in Questionnaires (Version 2.0)	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.publisher.country	DEU
dc.publisher.city	Mannheim	de
dc.source.series	GESIS Survey Guidelines
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	Befragung	de
dc.subject.thesoz	survey	en
dc.subject.thesoz	Fragebogen	de
dc.subject.thesoz	questionnaire	en
dc.subject.thesoz	Ratingskala	de
dc.subject.thesoz	rating scale	en
dc.subject.thesoz	Skalenkonstruktion	de
dc.subject.thesoz	scale construction	en
dc.subject.thesoz	Messinstrument	de
dc.subject.thesoz	measurement instrument	en
dc.subject.thesoz	Datengewinnung	de
dc.subject.thesoz	data capture	en
dc.subject.thesoz	Umfrageforschung	de
dc.subject.thesoz	survey research	en
dc.rights.licence	Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0	de
dc.rights.licence	Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0	en
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10037910
internal.identifier.thesoz	10037914
internal.identifier.thesoz	10055936
internal.identifier.thesoz	10057951
internal.identifier.thesoz	10041769
internal.identifier.thesoz	10040547
internal.identifier.thesoz	10040714
dc.type.stock	monograph	de
dc.type.document	Arbeitspapier	de
dc.type.document	working paper	en
dc.source.pageinfo	13	de
internal.identifier.classoz	10105
internal.identifier.document	3
dc.contributor.corporateeditor	GESIS - Leibniz-Institut für Sozialwissenschaften
internal.identifier.corporateeditor	133
internal.identifier.ddc	300
dc.identifier.doi	https://doi.org/10.15465/gesis-sg_en_015	de
dc.description.pubstatus	Erstveröffentlichung	de
dc.description.pubstatus	Primary Publication	en
internal.identifier.licence	20
internal.identifier.pubstatus	5
internal.identifier.review	1
internal.identifier.series	1376
ssoar.wgl.collection	true	de
internal.pdf.version	1.5
internal.pdf.valid	false
internal.pdf.wellformed	true
internal.pdf.ocr	null Page_2 Page_3 Page_4 Page_5 Page_6 Page_7 Page_9 Page_10 Page_11 Page_12 Page_13 Page_14 Page_15
internal.check.abstractlanguageharmonizer	CERTAIN
internal.check.languageharmonizer	CERTAIN_RETAINED

Files in this item

Name:: ssoar-2016-menold_et_al-Design ...
Size:: 1.297Mb
Format:: PDF

View/Open

This item appears in the following Collection(s)

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

Show simple item record