Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research

dc.contributor.author Clottey, Toyin
dc.contributor.author Clottey, Toyin
dc.contributor.author W. C. Benton, W. C.
dc.contributor.department Supply Chain Management
dc.date 2021-01-13T21:33:17.000
dc.date.accessioned 2021-02-26T12:14:14Z
dc.date.available 2021-02-26T12:14:14Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.embargo 2022-04-01
dc.date.issued 2020-04-01
dc.description.abstract <p>The last decade has seen an increase in empirical supply chain management research with dyadic data. Such data structures can further complicate the assessment of nonresponse bias, which plays a key role in establishing the credibility of research results. A survey of 75 research articles with dyadic data, published in five empirically focused supply chain management academic journals, over the last decade, reveals a lack of agreement on methods used in the assessment for potential unit nonresponse bias. Of the various statistical tests found, only the Multivariate Analysis of Variance (MANOVA) approach allows for a single statistical test to be utilized in assessing for potential unit nonresponse bias via incorporation of the design structure of the dyadic data. We investigate the use of an effect size confidence interval coverage, of a MANOVA, to detect a meaningful difference between respondents and nonrespondents correctly. Our results show that with dyadic data, such meaningful differences can be detected with significantly smaller sample size requirements than traditional approaches such as <em>t</em>‐tests or ANOVA. Recommendations are provided for setting up and executing a MANOVA to assess for potential unit nonresponse bias with dyadic data.</p>
dc.description.comments <p>This accepted article is published as Clottey, T. and Benton, W.C., Jr. (2020), Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research. <em>Decision Sciences</em>, 51: 423-447. Doi: <a target="_blank">10.1111/deci.12431</a>. Posted with permission. </p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/scm_pubs/91/
dc.identifier.articleid 1091
dc.identifier.contextkey 21073692
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath scm_pubs/91
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/98867
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/scm_pubs/91/2020_ClotteyT_Manu_Technical_Note_Recommendations_for_Assessing.pdf|||Sat Jan 15 02:28:38 UTC 2022
dc.source.uri 10.1111/deci.12431
dc.subject.disciplines Management Information Systems
dc.subject.disciplines Management Sciences and Quantitative Methods
dc.subject.disciplines Operations and Supply Chain Management
dc.subject.disciplines Organizational Behavior and Theory
dc.subject.keywords Dyadic data
dc.subject.keywords unit non-response bias
dc.subject.keywords effect size analysis
dc.subject.keywords survey research methods
dc.subject.keywords supplier-customer relationships
dc.title Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication c28b3650-be63-4bfd-96dd-ffbdb1087b30
relation.isOrgUnitOfPublication ef3ab1b0-d571-4148-84dd-470ef1cdb17a
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