1996
DOI: 10.1300/j045v08n01_05
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The Effects of Non-Response on Statistical Inference

Abstract: Surveys have been, and will most likely continue to be, the source of data for many empirical articles. Likewise, the difficulty of making valid statistical inferences in the face of missing data will continue to plague researchers. In an ideal situation, all potential survey participants would respond; in reality, the goal of an 80 to 90% response rate is very difficult to achieve. When nonresponse is systematic, the combination of low response rate and systematic differences can severely bias inferences that… Show more

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Cited by 57 publications
(49 citation statements)
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“…Limited overall impact is consistent with a review of the effect of nonresponse on statistical inference, which suggests that nonresponse bias is unlikely when the response rate is above 90%. 27 It should be noted, however, that a significant difference in estimates based on present students only vs all students could have been found if our survey had included a larger sample size. More generally, it has been reported that there is no ceiling for participation rates above which nonresponse bias cannot exist.…”
Section: Discussionmentioning
confidence: 86%
“…Limited overall impact is consistent with a review of the effect of nonresponse on statistical inference, which suggests that nonresponse bias is unlikely when the response rate is above 90%. 27 It should be noted, however, that a significant difference in estimates based on present students only vs all students could have been found if our survey had included a larger sample size. More generally, it has been reported that there is no ceiling for participation rates above which nonresponse bias cannot exist.…”
Section: Discussionmentioning
confidence: 86%
“…Second, formal imputation methods were not used to address the issue of missing data on incomplete clinical supervisor evaluation forms and blanks were not substituted with bestguess values. Knowledge on how assessing responders and non-responders differed would have allowed an appropriate grade imputation method to be employed (Jones 1996). In addition, the study does not provide insight into the weighting of each causal factor contributing to the findings in this study.…”
Section: Discussionmentioning
confidence: 98%
“…This may point to a systematic nonresponse bias (36). For this reason, laboratory data were reported separately for surveyed patients and for the greater cohort of patients who completed STS therapy.…”
Section: Discussionmentioning
confidence: 99%