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Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias
Author(s) -
Halbesleben Jonathon R. B.,
Whitman Marilyn V.
Publication year - 2013
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/1475-6773.12002
Subject(s) - non response bias , data collection , survey data collection , data quality , quality (philosophy) , survey research , computer science , survey methodology , econometrics , statistics , psychology , applied psychology , economics , operations management , metric (unit) , philosophy , mathematics , epistemology
Objective To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias. Study Design A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post‐data collection techniques that researchers should consider. Principal Findings Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five‐question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each. Conclusions It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates.