Journal of Survey Statistics and Methodology最新文献_第5页

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":" ","pages":""},"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":" ","pages":""},"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":"34 1","pages":"0"},"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":" ","pages":""},"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

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":" ","pages":""},"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

Improving Statistical Matching when Auxiliary Information is Available 当辅助信息可用时，改进统计匹配

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-02-13 DOI: 10.1093/jssam/smac038

Angelo Moretti, N. Shlomo

引用次数: 2

Constructing State and National Estimates of Vaccination Rates from Immunization Information Systems 从免疫信息系统构建州和国家疫苗接种率估计

IF 2.1 4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-02-07 DOI: 10.1093/jssam/smac042

T. Raghunathan, K. Kirtland, Ji Li, K. White, B. Murthy, Xia Lin, Latreace Harris, L. Gibbs-Scharf, E. Zell

{"title":"Constructing State and National Estimates of Vaccination Rates from Immunization Information Systems","authors":"T. Raghunathan, K. Kirtland, Ji Li, K. White, B. Murthy, Xia Lin, Latreace Harris, L. Gibbs-Scharf, E. Zell","doi":"10.1093/jssam/smac042","DOIUrl":"https://doi.org/10.1093/jssam/smac042","url":null,"abstract":"\u0000 Immunization Information Systems are confidential computerized population-based systems that collect data from vaccination providers on individual vaccinations administered along with limited patient-level characteristics. Through a data use agreement, Centers for Disease Control and Prevention obtains the individual-level data and aggregates the number of vaccinations for geographical statistical areas defined by the US Census Bureau (counties or equivalent statistical entities) for each vaccine included in system. Currently, 599 counties, covering 11 states, collect and report data using a uniform protocol. We combine these data with inter-decennial population counts from the Population Estimates Program in the US Census Bureau and several covariates from a variety of sources to develop model-based estimates for each of the 3,142 counties in 50 states and the District of Columbia and then aggregate to the state and national levels. We use a hierarchical Bayesian model and Markov Chain Monte Carlo methods to obtain draws from the posterior predictive distribution of the vaccination rates. We use posterior predictive checks and cross-validation to assess the goodness of fit and to validate the models. We also compare the model-based estimates to direct estimates from the National Immunization Surveys.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":"1 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41952610","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

An Application of Adaptive Cluster Sampling to Surveying Informal Businesses 自适应聚类抽样在非正式企业调查中的应用

4区数学

Journal of Survey Statistics and Methodology Pub Date : 2023-01-27 DOI: 10.1093/jssam/smac037

Gemechu Aga, David C Francis, Filip Jolevski, Jorge Rodriguez Meza, Joshua Seth Wimpey

引用次数: 0