Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.
TLDR
It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study and the potential effects of nonresponse bias should be considered both before and after survey administration.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 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.read more
Citations
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Community-based management of acute malnutrition: Implementation quality, and staff and user satisfaction with services
TL;DR: In this paper , the authors used a convergent mixed-method design involving in-depth interviews with CMAM staff and users, document reviews, and observations of the CMAM implementation.
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Pre-incentive Efficacy in Survey Response Rates in a Large Prospective Military Cohort
Teresa M. Powell,Toni Rose Geronimo-Hara,Laura E. Tobin,Carrie J. Donoho,Beverly D. Sheppard,Jennifer L. Walstrom,Rudolph P. Rull,Dennis J. Faix +7 more
TL;DR: This article found that giving participants a monetary pre-incentive was an effective way to increase response rates, and thereby participant retention, in a hard-to-reach, highly mobile population, and reengage participants who did not respond to a previous follow-up survey.
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Survey mode and nonresponse bias: A meta-analysis based on the data from the international social survey programme waves 1996–2018 and the European social survey rounds 1 to 9
TL;DR: In this paper , the effect of survey characteristics, especially the survey mode, on the nonresponse bias was analyzed based on the survey documentation and results from the International Social Survey Programme waves 1996-2018 and the European Social Survey rounds 1 to 9.
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Demographics, distribution and experiences of UK clinical academic trainees using GMC NTS Survey data.
Hannah Beckwith,Valmir Selimi,Asya Mussad,Matthew Paul Graham-Brown,Andy Knapton,Bill Irish,Sue Carr +6 more
TL;DR: In this article , the authors analyzed the academic trainee population, distribution of academic posts and their reported experience of clinical training, and found that academic trainees are more likely to be men and the gender divide begins prior to graduation.
The National Survey on Population and Family Health (NSPFH), Morocco-2018: a Data Quality Assessment
TL;DR: In this article, the reliability of the NSPFH data and results using demographic data quality assessment methods (graphic methods: age-gender pyramid and distribution by gender and area of residency, and statistical methods: non-response rate and age accuracy indexes) to ensure if they are of good quality.
References
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Posted Content
Estimating Nonresponse Bias in Mail Surveys
JS Armstrong,Terry Overton +1 more
TL;DR: Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies and the use of extrapolation led to substantial improvements over a strategy of not using extrapolation.
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Statistical Analysis with Missing Data.
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Nonresponse Rates and Nonresponse Bias in Household Surveys
TL;DR: The authors showed that nonresponse bias can be translated into causal models to guide hypotheses about when nonresponse causes bias, but the linkage between nonresponse rates and nonresponse biases is absent.
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Response rates to mail surveys published in medical journals.
TL;DR: Although several mail survey techniques are associated with higher response rates, response rates to published mail surveys tend to be moderate, and investigators, journal editors, and readers should devote more attention to assessments of bias, and less to specific response rate thresholds.