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Title Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities’ Impact on Patterns of Bias
Source Public Opinion Quarterly (POQ); 81, 2, pp. 401-421
Year 2017
Access date 24.08.2017
Abstract
In this study, survey nonresponse is researcher specified
and data simulated to evaluate its impact on error and bias in attitudinal
ratings. We accomplish this by scaling densities of (non)response
probabilities to a survey’s item metric and using these now conditional
probabilities to sample from known attitudinal distributions. The illustrative
context we choose for our simulations is intra-organizational
surveying (within which attitudes toward constructs such as employee
engagement, job satisfaction, or organizational climate are commonly
polled), although the results and implications extend to any survey with
metrically consonant item response scales. The simulations identify
population and response pattern combinations that are either susceptible
or relatively immune to bias. We then demonstrate how this procedure
can be inverted and applied as a bias correction technique for dealing
with nonresponse. This inversion is the only existing sample corrective
procedure (known within the literature) that can be applied with no requisite
knowledge of target population parameters, instead requiring an
estimation of patterns of nonresponse.
Year of publication2017
Bibliographic typeJournal article
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