Identifying context and cause in small-N settings : a comparative multilevel analysis

No Thumbnail Available
Files
There are no files associated with this item.
Date
2016
Authors
Manatschal, Anita
Editors
Contact
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
DOI (citable link)
ArXiv-ID
International patent number
Link to the license
EU project number
Project
Open Access publication
Restricted until
Title in another language
Research Projects
Organizational Units
Journal Issue
Publication type
Journal article
Publication status
Published
Published in
Policy Sciences ; 49 (2016), 3. - pp. 335-348. - Springer. - ISSN 0032-2687. - eISSN 1573-0891
Abstract
Qualitative small-N comparisons face the challenge to detect context-bound causality under conditions of limited empirical diversity. Rather than treating context as a causal factor, we test the usefulness of the novel method of comparative multilevel analysis (CMA) to identify and understand the role of context as a contingent necessary condition that enables a causal relationship to unfold. Combining CMA with pairwise comparisons, we assess how organ donation policies in Switzerland and Spain affect relatives’ refusal rates in a small-N setting exhibiting multiple contextual levels. To tackle limited diversity systematically, we suggest to refine the CMA methodology by accounting for several contexts and referring to higher-order constructs. Applying CMA with these refinements, we find voluntary information measures only affect refusal rates in contexts of a credible state explicitly supporting organ donation. The fact that CMA can easily be combined with other analytical and conceptual approaches makes it an effective technique to identify contextual effects in small-N research.
Summary in another language
Subject (DDC)
320 Politics
Keywords
Comparative multilevel analysis, Contextual effects, Small-N comparison, Limited empirical diversity, Galton's problem
Conference
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690THOMANN, Eva, Anita MANATSCHAL, 2016. Identifying context and cause in small-N settings : a comparative multilevel analysis. In: Policy Sciences. Springer. 49(3), pp. 335-348. ISSN 0032-2687. eISSN 1573-0891. Available under: doi: 10.1007/s11077-015-9233-x
BibTex
@article{Thomann2016Ident-52237,
  year={2016},
  doi={10.1007/s11077-015-9233-x},
  title={Identifying context and cause in small-N settings : a comparative multilevel analysis},
  number={3},
  volume={49},
  issn={0032-2687},
  journal={Policy Sciences},
  pages={335--348},
  author={Thomann, Eva and Manatschal, Anita},
  note={Erratum: https://doi.org/10.1007/s11077-016-9241-5}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52237">
    <dc:rights>terms-of-use</dc:rights>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-12-22T13:57:39Z</dc:date>
    <dcterms:title>Identifying context and cause in small-N settings : a comparative multilevel analysis</dcterms:title>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/52237"/>
    <dcterms:abstract xml:lang="eng">Qualitative small-N comparisons face the challenge to detect context-bound causality under conditions of limited empirical diversity. Rather than treating context as a causal factor, we test the usefulness of the novel method of comparative multilevel analysis (CMA) to identify and understand the role of context as a contingent necessary condition that enables a causal relationship to unfold. Combining CMA with pairwise comparisons, we assess how organ donation policies in Switzerland and Spain affect relatives’ refusal rates in a small-N setting exhibiting multiple contextual levels. To tackle limited diversity systematically, we suggest to refine the CMA methodology by accounting for several contexts and referring to higher-order constructs. Applying CMA with these refinements, we find voluntary information measures only affect refusal rates in contexts of a credible state explicitly supporting organ donation. The fact that CMA can easily be combined with other analytical and conceptual approaches makes it an effective technique to identify contextual effects in small-N research.</dcterms:abstract>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:creator>Thomann, Eva</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Thomann, Eva</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2016</dcterms:issued>
    <dc:creator>Manatschal, Anita</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-12-22T13:57:39Z</dcterms:available>
    <dc:contributor>Manatschal, Anita</dc:contributor>
    <dc:language>eng</dc:language>
  </rdf:Description>
</rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Contact
URL of original publication
Test date of URL
Examination date of dissertation
Method of financing
Comment on publication
Erratum: https://doi.org/10.1007/s11077-016-9241-5
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
No
Refereed
Yes