{"title":"QUESTIONNAIRE COMPLEXITY, REST PERIOD, AND RESPONSE LIKELIHOOD IN ESTABLISHMENT SURVEYS","authors":"J. Rodhouse, T. Wilson, Heather E Ridolfo","doi":"10.1093/JSSAM/SMAB017","DOIUrl":null,"url":null,"abstract":"\n Response burden has been a concern in survey research for some time. One area of concern is the negative impact that response burden can have on response rates. In an effort to mitigate negative impacts on response rates, survey research organizations try to minimize the burden respondents are exposed to and maximize the likelihood of response. Many organizations also try to be mindful of the role burden may play in respondents’ likelihood to participate in future surveys by implementing rest periods or survey holidays. Recently, new evidence from a study of cross-sectional household surveys provided an interesting lens to examine burden. The evidence demonstrated that those sampled in two independent surveys are more likely to respond to the second survey if the first survey was more difficult to complete, and that this effect was not significantly influenced by the rest period in between the two surveys. These findings are compelling, and since the mechanisms influencing response in household and establishment surveys differ in important ways, a similar examination in an establishment survey context is warranted. To accomplish this, data are used from the National Agricultural Statistics Service. Overall, our research finds that prior survey features such as questionnaire complexity (or burden), prior response disposition and rest period are significantly associated with response to subsequent surveys. We also find that sample units first receiving a more complex questionnaire have significantly higher probabilities of response to a subsequent survey than do those receiving a simpler questionnaire first. The findings in this paper have implications for nonresponse adjustments and identification of subgroups for adaptive design data collection.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Survey Statistics and Methodology","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1093/JSSAM/SMAB017","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Response burden has been a concern in survey research for some time. One area of concern is the negative impact that response burden can have on response rates. In an effort to mitigate negative impacts on response rates, survey research organizations try to minimize the burden respondents are exposed to and maximize the likelihood of response. Many organizations also try to be mindful of the role burden may play in respondents’ likelihood to participate in future surveys by implementing rest periods or survey holidays. Recently, new evidence from a study of cross-sectional household surveys provided an interesting lens to examine burden. The evidence demonstrated that those sampled in two independent surveys are more likely to respond to the second survey if the first survey was more difficult to complete, and that this effect was not significantly influenced by the rest period in between the two surveys. These findings are compelling, and since the mechanisms influencing response in household and establishment surveys differ in important ways, a similar examination in an establishment survey context is warranted. To accomplish this, data are used from the National Agricultural Statistics Service. Overall, our research finds that prior survey features such as questionnaire complexity (or burden), prior response disposition and rest period are significantly associated with response to subsequent surveys. We also find that sample units first receiving a more complex questionnaire have significantly higher probabilities of response to a subsequent survey than do those receiving a simpler questionnaire first. The findings in this paper have implications for nonresponse adjustments and identification of subgroups for adaptive design data collection.
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.