通过使用网络推送数据收集方法改善对企业调查的反应

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2018-07-03 DOI:10.1080/08898480.2018.1477386

Morgan M. Millar, P. Schmuhl, Kent Page, Andrea L. Genovesi, Michael Ely, Craig Hemingway, L. Olson

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引用次数: 3

摘要

web推送方法已被证明可以提高一般公众调查中的web响应率。对两波儿童紧急医疗服务项目绩效衡量调查(一项由州政府管理的机构调查)的回复率进行了比较，以确定第二波修订后的集中实施策略是否提高了各州的回复率和一致性。集中策略包括网页推送设计;小心定时接触;三个月的期限。集中式网络推送方法的结果包括三个月期间更高的总体回复率(81.0%比56.6%)以及各州结果的更大一致性。

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Improving response to an establishment survey through the use of web-push data collection methods

ABSTRACT The web-push method has been shown to increase web response rates in general public surveys. Response rates from two waves of the Emergency Medical Services for Children Program’s Performance Measures Survey, a state-administered establishment survey, were compared to determine if the second wave's revised, centralized implementation strategy improved response rates and consistency across states. The centralized strategy included the web-push design; a carefully timed contacts; and a three-month timeline. The results of the centralized web-push method included a higher overall response rate for a three-month period (81.0% compared to 56.6%) as well as greater consistency in results across states.

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来源期刊

Mathematical Population Studies 数学-数学跨学科应用

CiteScore

3.20

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.