Journal of Survey Statistics and Methodology

ISSN 23250984

Oxford University Press

Zeitschrift, Englisch

Erscheinungsweise: vierteljährlich

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, comparisons of probability and nonprobability samples, statistical inference, nonresponse, questionnaire design, pretesting, measurement error, the effects of modes of data collection, interviewer effects, paradata and responsive survey design, use of administrative records for population inference, use of organic or social media data for population inference, 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, questionnaire design and testing, methods of data collection, interviewer effects, nonresponse and recruitment protocols, responsive designs, new data sources, 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.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik