Improving response rates and evaluating nonresponse bias in surveys: AMEE Guide No. 102

被引：192

作者：

Phillips, Andrew W. ^{[1
]}

Reddy, Shalini ^{[2
]}

Durning, Steven J. ^{[3
]}

机构：

[1] Stanford Univ, 300 Pasteur Dr, Stanford, CA 94305 USA

[2] Univ Chicago, Pritzker Sch Med, Med, Chicago, IL 60637 USA

[3] Uniformed Serv Univ Hlth Sci, Med & Pathol, Bethesda, MD USA

来源：

MEDICAL TEACHER | 2016年 / 38卷 / 03期

关键词：

MAIL SURVEYS; PHYSICIAN SURVEY; QUESTIONNAIRE LENGTH; HOUSEHOLD SURVEYS; RANDOMIZED-TRIAL; ITEM NONRESPONSE; DATA QUALITY; INCENTIVES; WEB; PAYMENT;

D O I：

10.3109/0142159X.2015.1105945

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Robust response rates are essential for effective survey-based strategies. Researchers can improve survey validity by addressing both response rates and nonresponse bias. In this AMEE Guide, we explain response rate calculations and discuss methods for improving response rates to surveys as a whole (unit nonresponse) and to questions within a survey (item nonresponse). Finally, we introduce the concept of nonresponse bias and provide simple methods to measure it.

引用

页码：217 / 228

页数：12

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