Campus Units
Supply Chain and Information Systems
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
4-1-2020
Journal or Book Title
Decision Sciences
Volume
51
Issue
2
First Page
423
Last Page
447
DOI
10.1111/deci.12431
Abstract
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 t‐tests or ANOVA. Recommendations are provided for setting up and executing a MANOVA to assess for potential unit nonresponse bias with dyadic data.
Copyright Owner
Decision Sciences Institute
Copyright Date
2020
Language
en
File Format
application/pdf
Recommended Citation
Clottey, Toyin and W. C. Benton, W. C. Jr, "Technical Note: Recommendations for Assessing Unit Nonresponse Bias in Dyadic Focused Empirical Supply Chain Management Research" (2020). Supply Chain Management Publications. 91.
https://lib.dr.iastate.edu/scm_pubs/91
Included in
Management Information Systems Commons, Management Sciences and Quantitative Methods Commons, Operations and Supply Chain Management Commons, Organizational Behavior and Theory Commons
Comments
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. Decision Sciences, 51: 423-447. Doi: 10.1111/deci.12431. Posted with permission.