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Procedures that assess inconsistency in meta-analyses can assess the likelihood of response bias in multiwave surveys.

Abstract：

BACKGROUND AND OBJECTIVE:Response bias may affect the result of surveys with <100% response rate. We applied methods commonly used in meta-analysis to ascertain the extent to which response bias affects multiwave survey results. METHODS:To test hypotheses of between-wave similarity, we used the Cochran-Armitage test for trends and the Q-test of heterogeneity across waves in a survey of 2,127 North American clinicians using six e-mail waves and one fax wave and achieving a response rate of 22%. We used the I2 statistic To quantify the extent of inconsistency in survey outcomes across waves not due to within-wave random error (i.e., inconsistency due to response bias). RESULTS:With this survey, tests of heterogeneity and trend were not significant and I2 equaled 0%. These results suggest that the underlying responses did not differ across waves and thus strengthened the inference that response bias was not affecting the interpretation of the survey. CONCLUSION:Researchers can use procedures that assess inconsistency in meta-analyses to evaluate the validity of a multiwave survey with a less than optimal response rate.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

Montori VM,Leung TW,Walter SD,Guyatt GH

doi

10.1016/j.jclinepi.2004.11.027

subject

Has Abstract

pub_date

2005-08-01 00:00:00

pages

856-8

issue

8

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(05)00087-9

journal_volume

58

pub_type

杂志文章

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