Journal of Survey Statistics and Methodology最新文献_第6页

Effects of Address Coverage Enhancement on Estimates from Address-Based Sampling Studies. 地址覆盖增强对基于地址的抽样研究估计的影响。

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-04-01 DOI: 10.1093/jssam/smab032

Michael Jones, J Michael Brick, Wendy Van De Kerckhove

{"title":"Effects of Address Coverage Enhancement on Estimates from Address-Based Sampling Studies.","authors":"Michael Jones, J Michael Brick, Wendy Van De Kerckhove","doi":"10.1093/jssam/smab032","DOIUrl":"https://doi.org/10.1093/jssam/smab032","url":null,"abstract":"For over a decade, address-based sampling (ABS) frames have often been used to draw samples for multistage area sample surveys in lieu of traditionally listed (or enumerated) address frames. However, it is well known that the use of ABS frames for face-to-face surveys suffer from undercoverage due to, for example, households that receive mail via a PO Box rather than being delivered to the household's street address. Undercoverage of ABS frames has typically been more prominent in rural areas but can also occur in urban areas where recent construction of households has taken place. Procedures have been developed to supplement ABS frames to address this undercoverage. In this article, we investigate a procedure called Address Coverage Enhancement (ACE) that supplements the ABS frame with addresses not found on the frame, and the resulting effects the addresses added to the sample through ACE have on estimates. Weighted estimates from two studies, the Population Assessment of Tobacco and Health Study and the 2017 US Program for the International Assessment of Adult Competencies, are calculated with and without supplemental addresses. Estimates are then calculated to assess if poststratifying analysis weights to control for urbanicity at the person level brings estimates closer to estimates from the supplemented frame. Our findings show that the noncoverage bias was likely minimal across both studies for a range of estimates. The main reason is because the Computerized Delivery Sequence file coverage rate is high, and when the coverage rate is high, only very large differences between the covered and not covered will result in meaningful bias.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080217/pdf/smab032.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9274583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis Versus Literature Review. 在响应性调查设计中推导贝叶斯预测每日反应倾向的先验:历史数据分析与文献综述。

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-04-01 DOI: 10.1093/jssam/smab036

Brady T West, James Wagner, Stephanie Coffey, Michael R Elliott

{"title":"Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis Versus Literature Review.","authors":"Brady T West, James Wagner, Stephanie Coffey, Michael R Elliott","doi":"10.1093/jssam/smab036","DOIUrl":"https://doi.org/10.1093/jssam/smab036","url":null,"abstract":"Responsive survey design (RSD) aims to increase the efficiency of survey data collection via live monitoring of paradata and the introduction of protocol changes when survey errors and increased costs seem imminent. Daily predictions of response propensity for all active sampled cases are among the most important quantities for live monitoring of data collection outcomes, making sound predictions of these propensities essential for the success of RSD. Because it relies on real-time updates of prior beliefs about key design quantities, such as predicted response propensities, RSD stands to benefit from Bayesian approaches. However, empirical evidence of the merits of these approaches is lacking in the literature, and the derivation of informative prior distributions is required for these approaches to be effective. In this paper, we evaluate the ability of two approaches to deriving prior distributions for the coefficients defining daily response propensity models to improve predictions of daily response propensity in a real data collection employing RSD. The first approach involves analyses of historical data from the same survey, and the second approach involves literature review. We find that Bayesian methods based on these two approaches result in higher-quality predictions of response propensity than more standard approaches ignoring prior information. This is especially true during the early-to-middle periods of data collection, when survey managers using RSD often consider interventions.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080219/pdf/smab036.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9652642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Reducing Burden in a Web Survey through Dependent Interviewing 通过依赖访谈减轻网络调查的负担

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-03-15 DOI: 10.1093/jssam/smad006

Curtiss Engstrom, J. Sinibaldi

{"title":"Reducing Burden in a Web Survey through Dependent Interviewing","authors":"Curtiss Engstrom, J. Sinibaldi","doi":"10.1093/jssam/smad006","DOIUrl":"https://doi.org/10.1093/jssam/smad006","url":null,"abstract":"\u0000 Longitudinal surveys provide valuable data for tracking change in a cohort of individuals over time. Respondents are often asked to provide similar, if not the same, data at multiple time points. One could argue that this unnecessarily increases respondent burden, especially for information that does not change frequently. One way to reduce burden while still capturing up-to-date information may be to implement dependent interviewing (DI), where the respondent is provided information from the last data collection to aid in answering the current survey. If the information is still correct, then no change is needed, but if incorrect, the respondent has the option to change the response. To test this, we implemented two different versions of DI in a self-administered web survey and compared these against a traditional version of the web survey. We examined respondent burden by analyzing timing data and respondent enjoyment by analyzing debriefing questions. To assess the success of the implementation, we looked at timing data and undesirable behavior (missing data and backtracking). Finally, to evaluate measurement error, we looked at the number of meaningful changes. We found that DI is faster, more enjoyable, easily executed by the respondent (more so in one of our experimental formats), and significant measurement error was not introduced. In addition, DI provided consistency in the data, minimizing the noise introduced by nonmeaningful changes. The findings have significant implications for implementing DI in self-administered modes without an interviewer present.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44304074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implicates as Instrumental Variables: An Approach for Estimation and Inference with Probabilistically Matched Data 隐含作为工具变量：一种利用概率匹配数据进行估计和推理的方法

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-03-10 DOI: 10.1093/jssam/smad005

Dhiren Patki, M. Shapiro

引用次数: 1

Combining National Surveys with Composite Calibration to Improve the Precision of Estimates from the United Kingdom's Living Costs and Food Survey 将全国调查与综合校准相结合，以提高英国生活成本和食品调查的估计精度

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-03-08 DOI: 10.1093/jssam/smad001

T. Merkouris, Paul A. Smith, A. Fallows

{"title":"Combining National Surveys with Composite Calibration to Improve the Precision of Estimates from the United Kingdom's Living Costs and Food Survey","authors":"T. Merkouris, Paul A. Smith, A. Fallows","doi":"10.1093/jssam/smad001","DOIUrl":"https://doi.org/10.1093/jssam/smad001","url":null,"abstract":"\u0000 The United Kingdom’s Living Costs and Food (LCF) Survey has a relatively small sample size but produces estimates which are widely used, notably as a key input to the calculation of weights for consumer price indices. There has been a recent call for the use of additional data sources to improve the estimates from the LCF. Since some LCF variables are shared with the much larger Labour Force Survey (LFS), we investigate combining data from these surveys using composite calibration to improve the precision of estimates from the LCF. We undertake model selection to choose a suitable set of common variables for the composite calibration using the effect on the estimated variances for national and regional totals of important LCF variables. The variances of estimates for common variables are reduced to around 5 percent of their original size. Variances of national estimates are reduced (across several quarters) by around 10 percent for expenditure and 25 percent for income; these are the variables of primary interest in the LCF. Reductions in the variances of regional estimates vary more but are mostly large when using common variables at the regional level in the composite calibration. The composite calibration also makes the LCF estimates for employment status almost consistent with the outputs of the LFS, which is an important property for users of the statistics. A novel alternative method for variance estimation, using stored information produced by the composite calibration, is also presented.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42475076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Evaluating Data Fusion Methods to Improve Income Modeling 评估数据融合方法以改进收入建模

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-03-02 DOI: 10.1093/jssam/smac033

Jana Emmenegger, R. Münnich, Jannik Schaller

引用次数: 1

Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure 异方差结构小面积估计的共轭建模方法

4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-02-25 DOI: 10.1093/jssam/smad002

Paul A Parker, Scott H Holan, Ryan Janicki

{"title":"Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure","authors":"Paul A Parker, Scott H Holan, Ryan Janicki","doi":"10.1093/jssam/smad002","DOIUrl":"https://doi.org/10.1093/jssam/smad002","url":null,"abstract":"Abstract Small area estimation (SAE) has become an important tool in official statistics, used to construct estimates of population quantities for domains with small sample sizes. Typical area-level models function as a type of heteroscedastic regression, where the variance for each domain is assumed to be known and plugged in following a design-based estimate. Recent work has considered hierarchical models for the variance, where the design-based estimates are used as an additional data point to model the latent true variance in each domain. These hierarchical models may incorporate covariate information but can be difficult to sample from in high-dimensional settings. Utilizing recent distribution theory, we explore a class of Bayesian hierarchical models for SAE that smooth both the design-based estimate of the mean and the variance. In addition, we develop a class of unit-level models for heteroscedastic Gaussian response data. Importantly, we incorporate both covariate information as well as spatial dependence, while retaining a conjugate model structure that allows for efficient sampling. We illustrate our methodology through an empirical simulation study as well as an application using data from the American Community Survey.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136081685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Equipping the Offline Population with Internet Access in an Online Panel: Does It Make a Difference? 在一个在线小组中为离线人口提供互联网接入:它会产生影响吗?

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-02-24 DOI: 10.1093/jssam/smad003

Ruben L. Bach, Carina Cornesse, Jessica Daikeler

{"title":"Equipping the Offline Population with Internet Access in an Online Panel: Does It Make a Difference?","authors":"Ruben L. Bach, Carina Cornesse, Jessica Daikeler","doi":"10.1093/jssam/smad003","DOIUrl":"https://doi.org/10.1093/jssam/smad003","url":null,"abstract":"\u0000 Online panel surveys are often criticized for their inability to cover the offline population, potentially resulting in coverage error. Previous research has demonstrated that non-internet users in fact differ from online individuals on several sociodemographic characteristics. In attempts to reduce coverage error due to missing the offline population, several probability-based online panels equip offline households with an internet connection and a simple computer or tablet. However, the question remains whether the recruitment of offline individuals for an online panel leads to substantial changes in survey estimates. That is, it is unclear whether estimates derived from the survey data are affected by the differences between the groups of online and offline individuals. Against this background, we investigate how the inclusion of the previously offline population into the German Internet Panel affects various survey estimates such as voting behavior and social engagement. Overall, we find little evidence for the claim that equipping otherwise offline individuals with online access affects the estimates derived from previously online individuals only.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45916954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visible Cash, a Second Incentive, and Priority Mail? An Experimental Evaluation of Mailing Strategies for a Screening Questionnaire in a National Push-to-Web/Mail Survey. 可见现金、第二激励和优先邮件？全国推送网络/邮件调查中筛选问卷的邮寄策略的实验评估

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-02-22 eCollection Date: 2023-11-01 DOI: 10.1093/jssam/smac041

Shiyu Zhang, Brady T West, James Wagner, Mick P Couper, Rebecca Gatward, William G Axinn

{"title":"Visible Cash, a Second Incentive, and Priority Mail? An Experimental Evaluation of Mailing Strategies for a Screening Questionnaire in a National Push-to-Web/Mail Survey.","authors":"Shiyu Zhang, Brady T West, James Wagner, Mick P Couper, Rebecca Gatward, William G Axinn","doi":"10.1093/jssam/smac041","DOIUrl":"10.1093/jssam/smac041","url":null,"abstract":"In push-to-web surveys that use postal mail to contact sampled cases, participation is contingent on the mail being opened and the survey invitations being delivered. The design of the mailings is crucial to the success of the survey. We address the question of how to design invitation mailings that can grab potential respondents' attention and sway them to be interested in the survey in a short window of time. In the household screening stage of a national survey, the American Family Health Study, we experimentally tested three mailing design techniques for recruiting respondents: (1) a visible cash incentive in the initial mailing, (2) a second incentive for initial nonrespondents, and (3) use of Priority Mail in the nonresponse follow-up mailing. We evaluated the three techniques' overall effects on response rates as well as how they differentially attracted respondents with different characteristics. We found that all three techniques were useful in increasing the screening response rates, but there was little evidence that they had differential effects on sample subgroups that could help to reduce nonresponse biases.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43534591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Handling Missing Values in Surveys With Complex Study Design: A Simulation Study 用复杂的研究设计处理调查中的缺失值：一项模拟研究

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-02-20 DOI: 10.1093/jssam/smac039

N. Kalpourtzi, James R. Carpenter, G. Touloumi

{"title":"Handling Missing Values in Surveys With Complex Study Design: A Simulation Study","authors":"N. Kalpourtzi, James R. Carpenter, G. Touloumi","doi":"10.1093/jssam/smac039","DOIUrl":"https://doi.org/10.1093/jssam/smac039","url":null,"abstract":"\u0000 The inverse probability weighting (IPW) method is commonly used to deal with missing-at-random outcome (response) data collected by surveys with complex sampling designs. However, IPW methods generally assume that fully observed predictor variables are available for all sampled units, and it is unclear how to appropriately implement these methods when one or more independent variables are subject to missing values. Multiple imputation (MI) methods are well suited for a variety of missingness patterns but are not as easily adapted to complex sampling designs. In this case study, we consider the National Survey of Morbidity and Risk Factors (EMENO), a multistage probability sample survey. To understand the strengths and limitations of using either missing data treatment method for the EMENO, we present an extensive simulation study modeled on the EMENO health survey, with the target analysis being the estimation of population prevalence of hypertension as well as the association between hypertension and income. Both variables are subject to missingness. We test a variety of IPW and MI methods in simulation and on empirical data from the survey, assessing robustness by varying missingness mechanisms, proportions of missingness, and strengths of fitted response propensity models.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48401788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2