scholarly journals Estimation of Nonresponse Bias

1975 ◽  
Vol 3 (4) ◽  
pp. 461-488 ◽  
Author(s):  
Darnell F. Hawkins
Keyword(s):  
2016 ◽  
Vol 21 (2) ◽  
pp. 293-298 ◽  
Author(s):  
Yeongbae Choe ◽  
Daniel R. Fesenmaier

2014 ◽  
Author(s):  
Fawzi Al-Nassir ◽  
Eric Falk ◽  
Owen Hung ◽  
Shoshana Magazine ◽  
Timothy Markheim ◽  
...  

2015 ◽  
Vol 8 (1) ◽  
pp. 133 ◽  
Author(s):  
Hamid Heidarian Miri ◽  
Jafar Hassanzadeh ◽  
Abdolreza Rajaeefard ◽  
Majid Mirmohammadkhani ◽  
Kambiz Ahmadi Angali

<p><strong>BACKGROUND: </strong>This study was carried out to use multiple imputation (MI) in order to correct for the potential nonresponse bias in measurements related to variable fasting blood glucose (FBS) in non-communicable disease risk factors survey conducted in Iran in 2007.</p> <p><strong>METHODS: </strong>Five multiple imputation methods as bootstrap expectation maximization, multivariate normal regression, univariate linear regression, MI by chained equation, and predictive mean matching were applied to impute variable fasting blood sugar. To make FBS consistent with normality assumption natural logarithm (Ln) and Box-Cox (BC) transformations were used prior to imputation. Measurements from which we intended to remove nonresponse bias included mean of FBS and percentage of those with high FBS.</p> <p><strong>RESULTS:</strong> For mean of FBS results didn’t considerably change after applying MI methods. Regarding the prevalence of high blood sugar all methods on original scale tended to increase the estimates except for predictive mean matching that along with all methods on BC or Ln transformed data didn’t change the results.</p> <p><strong>CONCLUSIONS: </strong>FBS<strong>-</strong>related<strong> </strong>measurements didn’t change after applying different MI methods. It seems that<strong> </strong>nonresponse bias was not an important challenge regarding these measurements. However use of MI methods resulted in more efficient estimations. Further studies are encouraged on accuracy of MI methods in these settings.</p>


2018 ◽  
Vol 37 (6) ◽  
pp. 750-765 ◽  
Author(s):  
Joseph W. Sakshaug ◽  
Basha Vicari ◽  
Mick P. Couper

Identifying strategies that maximize participation rates in population-based web surveys is of critical interest to survey researchers. While much of this interest has focused on surveys of persons and households, there is a growing interest in surveys of establishments. However, there is a lack of experimental evidence on strategies for optimizing participation rates in web surveys of establishments. To address this research gap, we conducted a contact mode experiment in which establishments selected to participate in a web survey were randomized to receive the survey invitation with login details and subsequent reminder using a fully crossed sequence of paper and e-mail contacts. We find that a paper invitation followed by a paper reminder achieves the highest response rate and smallest aggregate nonresponse bias across all-possible paper/e-mail contact sequences, but a close runner-up was the e-mail invitation and paper reminder sequence which achieved a similarly high response rate and low aggregate nonresponse bias at about half the per-respondent cost. Following up undeliverable e-mail invitations with supplementary paper contacts yielded further reductions in nonresponse bias and costs. Finally, for establishments without an available e-mail address, we show that enclosing an e-mail address request form with a prenotification letter is not effective from a response rate, nonresponse bias, and cost perspective.


Biometrika ◽  
1990 ◽  
Vol 77 (3) ◽  
pp. 617-624 ◽  
Author(s):  
JUHA M. ALHO

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