Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.
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Cites background or methods from "Evaluating survey quality in health..."
...We now know that the number of nonrespondents and the probability of nonresponse bias are very poorly related (r ¼ 0.3) (Groves 2006; Halbesleben & Whitman 2013)....
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...An alternative decision tree and examples of additional methods are also available (Groves 2006; Halbesleben & Whitman 2013)....
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170 citations
158 citations
Cites background from "Evaluating survey quality in health..."
...Furthermore, response bias is considered as an “individual” characteristic of a given sample; replication of the results on different samples could be considered as a way to increase the validity of a given study conclusion [26]....
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157 citations
References
9,589 citations
"Evaluating survey quality in health..." refers background in this paper
...Arguably the most common approach to assessing and addressing nonresponse bias has been to examine how one’s sample matches known characteristics of the population (Armstrong and Overton 1977; Beebe et al. 2011)....
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...Arguably the most common approach to assessing and addressing nonresponse bias has been to examine how one’s sample matches known characteristics of the population (Armstrong and Overton 1977; Beebe et al. 2011). There are two different approaches one could take for such comparisons. Most common is a comparison with general population data (e.g., Census data), typically focusing on demographics. For example, in their study of nurses in South Carolina, Ma, Samuels, and Alexander (2003) compared their sample to the population of registered nurses in the state and found no significant differences in gender, age, level of education, and geographic location....
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...Arguably the most common approach to assessing and addressing nonresponse bias has been to examine how one’s sample matches known characteristics of the population (Armstrong and Overton 1977; Beebe et al. 2011). There are two different approaches one could take for such comparisons. Most common is a comparison with general population data (e.g., Census data), typically focusing on demographics. For example, in their study of nurses in South Carolina, Ma, Samuels, and Alexander (2003) compared their sample to the population of registered nurses in the state and found no significant differences in gender, age, level of education, and geographic location. Alternatively, Beebe et al. (2011) compared their sample with another data source from the same population, matching the data at the participant (rather than group) level....
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6,148 citations
"Evaluating survey quality in health..." refers background in this paper
...One option is to weight data to account for differences in the sample and population to “push” the sample data closer to the population (Little and Rubin 2002)....
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2,290 citations
"Evaluating survey quality in health..." refers background or methods or result in this paper
...Groves (2006) presents an alternative equation that is mathematically different, yet would yield similar conclusions about bias....
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...Researchers commonly increase sample size to compensate for nonresponse bias; however, such action does not ensure a representative sample (Groves 2006; Groves and Peytcheva 2008)....
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...In addition, we echo Groves’ (2006) call for reporting multiple methods for assessing nonresponse bias in any given study....
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...Although there is a rich literature concerning nonresponse bias in the literature (Groves 2006; Rogelberg and Stanton 2007), we translate those works into a decision making framework to assist researchers in choosing a strategy for assessing nonresponse bias....
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2,154 citations
"Evaluating survey quality in health..." refers background in this paper
...As evidence of the perceived importance of response rates, authors have attempted to determine benchmarks for response rates by examining the average response rate across a body of research (Asch, Jedrziewski, and Christakis 1997; Sitzia and Wood 1998; Cummings, Savitz, and Konrad 2001)....
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