Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.

ABSTRACT:

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 r

SUBMITTER: Halbesleben JR 

PROVIDER: S-EPMC3681236 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature