Imputing Nonresponses to Mail-back Questionnaires
Many mail-back questionnaires are expected at the outset to elicit poor response rates, perhaps as low as 15–30%. Corrections can be designed into such a survey by using either two or three mailouts of the questionnaire at regular intervals. Assuming a trend in responses as a function of the number...
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| Veröffentlicht in: | American journal of epidemiology 1991-10, Vol.134 (8), p.908-912 |
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| container_title | American journal of epidemiology |
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| creator | WANZER DRANE, J |
| description | Many mail-back questionnaires are expected at the outset to elicit poor response rates, perhaps as low as 15–30%. Corrections can be designed into such a survey by using either two or three mailouts of the questionnaire at regular intervals. Assuming a trend in responses as a function of the number of mailouts a person receives before filling out and mailing back the questionnaire, responses are imputed for those who do not mail back the questionnaire after the final mailout. Standard errors are derived, and an example is included. The imputation is easily programmed A validation of this method is also included. |
| doi_str_mv | 10.1093/oxfordjournals.aje.a116165 |
| format | Article |
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Corrections can be designed into such a survey by using either two or three mailouts of the questionnaire at regular intervals. Assuming a trend in responses as a function of the number of mailouts a person receives before filling out and mailing back the questionnaire, responses are imputed for those who do not mail back the questionnaire after the final mailout. Standard errors are derived, and an example is included. The imputation is easily programmed A validation of this method is also included.</abstract><cop>Cary, NC</cop><pub>Oxford University Press</pub><pmid>1951284</pmid><doi>10.1093/oxfordjournals.aje.a116165</doi><tpages>5</tpages></addata></record> |
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| ispartof | American journal of epidemiology, 1991-10, Vol.134 (8), p.908-912 |
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| language | eng |
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| source | MEDLINE; Oxford University Press Archive; Periodicals Index Online |
| subjects | Analysis of Variance Bias Biological and medical sciences Epidemiology General aspects Humans imputation Linear Models Medical sciences Methodology Patient Compliance Patient Dropouts - psychology Patient Dropouts - statistics & numerical data Public health. Hygiene Public health. Hygiene-occupational medicine questionnaires Sampling Studies statistics study design Surveys and Questionnaires - standards |
| title | Imputing Nonresponses to Mail-back Questionnaires |
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