Sequential and Concurrent Internet-Telephone Mixed-Mode Designs in Sexual Health Behavior Research

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
S. Legleye, Géraldine Charrance
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引用次数: 0

Abstract

The 2013 FECOND (Fertility, Contraception, and Sexual Dysfunction) probability telephone survey aims to monitor sexual health behaviors among fifteen to forty-nine year olds in France. We conducted a random experiment to compare a classic telephone survey (group T, n = 3,846 respondents) with two Internet-telephone mixed-mode protocols: a sequential Internet-telephone protocol (group S, n = 762, among which there were 462 Internet questionnaires), and a concurrent protocol (group C, n = 1,165, among which there were 208 Internet questionnaires). We compare telephone (T), sequential (S), and concurrent (C) samples on cooperation rates, break-off, and item nonresponse rates, sociodemographic characteristics, health behaviors, and seven sexual health behaviors and personal opinions questions. Reports on the most sensitive behaviors were expected to be more truthful and more prevalent on the Internet—and thus in the mixed-mode samples—than in the telephone sample. The cooperation rate (i.e., the response rate among the possible respondents selected during the initial telephone call) was higher in the classic telephone survey than in the sequential and concurrent mixed-mode protocols (88 percent for T versus 77 percent for S and 55 percent for C), where break-off and item nonresponse rates were also higher. Despite these lower response rates, mixed-mode samples showed better representativeness: their marginal distribution of sociodemographic characteristics was closer to that of the 2013 census, and they had higher R-indicators. A causal estimation of the measurement effect resulting from Internet administration found higher prevalence of three out of the seven sexual health behaviors and personal opinions in the sequential protocol compared to the classic telephone group; a similar pattern was found in the concurrent protocol. In addition, the variance of the weights of the mixed-mode protocols is lower, especially for the sequential design. Sequential telephone-Internet mixed-mode protocols nested in a probability telephone survey may be a good way to improve survey research on sensitive behaviors.
性健康行为研究中的顺序和并发网络电话混合模式设计
2013年的FECOND(生育、避孕和性功能障碍)概率电话调查旨在监测法国15至49岁青少年的性健康行为。我们进行了一项随机实验来比较一项经典的电话调查(T组,n = 3846名受访者)使用两种互联网电话混合模式协议:一种顺序互联网电话协议(S组,n = 762份,其中462份互联网问卷),以及一项并发协议(C组,n = 1165份,其中有208份互联网问卷)。我们比较了电话(T)、顺序(S)和并发(C)样本的合作率、中断率和项目无反应率、社会人口统计学特征、健康行为以及七种性健康行为和个人意见问题。与电话样本相比,关于最敏感行为的报告在互联网上更真实、更普遍,因此在混合模式样本中也是如此。在经典电话调查中,合作率(即在最初的电话通话中选择的可能受访者的应答率)高于顺序和并发混合模式协议(T为88%,S为77%,C为55%),其中中断和项目无应答率也更高。尽管回答率较低,但混合模式样本显示出更好的代表性:他们的社会人口特征的边际分布更接近2013年人口普查,并且他们的R指标更高。对互联网管理产生的测量效果的因果估计发现,与经典电话组相比,在顺序协议中,七分之三的性健康行为和个人意见的发生率更高;在并发协议中也发现了类似的模式。此外,混合模式协议的权重方差较小,特别是对于顺序设计。嵌套在概率电话调查中的顺序电话-互联网混合模式协议可能是改进敏感行为调查研究的好方法。
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来源期刊
CiteScore
4.30
自引率
9.50%
发文量
40
期刊介绍: The Journal of Survey Statistics and Methodology, sponsored by AAPOR and the American Statistical Association, began publishing in 2013. Its objective is to publish cutting edge scholarly articles on statistical and methodological issues for sample surveys, censuses, administrative record systems, and other related data. It aims to be the flagship journal for research on survey statistics and methodology. Topics of interest include survey sample design, statistical inference, nonresponse, measurement error, the effects of modes of data collection, paradata and responsive survey design, combining data from multiple sources, record linkage, disclosure limitation, and other issues in survey statistics and methodology. The journal publishes both theoretical and applied papers, provided the theory is motivated by an important applied problem and the applied papers report on research that contributes generalizable knowledge to the field. Review papers are also welcomed. Papers on a broad range of surveys are encouraged, including (but not limited to) surveys concerning business, economics, marketing research, social science, environment, epidemiology, biostatistics and official statistics. The journal has three sections. The Survey Statistics section presents papers on innovative sampling procedures, imputation, weighting, measures of uncertainty, small area inference, new methods of analysis, and other statistical issues related to surveys. The Survey Methodology section presents papers that focus on methodological research, including methodological experiments, methods of data collection and use of paradata. The Applications section contains papers involving innovative applications of methods and providing practical contributions and guidance, and/or significant new findings.
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