HANDLING NONRESPONSE IN SOCIAL SCIENCE RESEARCH
By J. Lindner, T. Murphy, G. Briers. 2001
930 citations recorded by the source corpus.
This study was designed to describe and explore how nonresponse in the Journal of Agricultural Education has been handled historically. All articles (N=364) published in the Journal of Agricultural Education during the years 1990 through 1999 were analyzed using content analysis techniques. Study findings show that not mentioning nonresponse error as a threat to external validity of a study, not attempting to control for nonresponse error, or not providing a reference to the literature were, unfortunately, the norm and not the exception. This study provides three statistically sound and professionally acceptable procedures and protocols for handling nonresponse: Method 1—Comparison of Early to Late Respondents; Method 2—Using “Days to Respond” as a regression variable; and Method 3—Compare Respondents to Nonrespondents.
Subfields: General Agricultural and Biological Sciences, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f4c53026ceea5a46d6097054cfd51e4078a25d6c
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In General Agricultural and Biological Sciences
In Sociology and Political Science
- Gerald R. Ferris
- Pamela L. Perrewé
- Björn Niehaves
- Ralf Plattfaut
- Carol C. Bienstock
- K. El Emam
- Joel E. Collier
- E. Vigoda-Gadot
Citations in the corpus
- A Replicated Survey of IT Software Project Failures (2008, background): “Too many requirements and scope changes 33 (13, 59)”
- An analysis of how nonresponse error is assessed in academic marketing research (2007, background): “Lindner et al. (2001) state that the minimum number of late respondents used for comparison should be 30.”
- The antecedents and consequences of positive organizational behavior: The role of psychological capital for promoting employee well-being in sport organizations (2019, methodology): “Following Lindner et al. (2001) suggestion, this current study conducted non-response analyses by comparing early and late respondents to generalize our data analysis results to the overall population of NCAA Division I athletic department employees.”
- Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide (2014, methodology): “This indicates the absence of non-response bias (Lindner et al , 2001; Recker & Rosemann, 2010). using SPSS 17.0.0.”