This journal focuses on statistical methodologies for survey research, including the analysis of survey data, the design of surveys, and the estimation of errors and biases. It covers topics such as response time analysis, modeling total error, randomized response designs, variance estimation, and the measurement of sensitive attributes. The journal also addresses challenges in data collection, including nonresponse, measurement error, and the impact of different data collection modes and question formats.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Applied MathematicsQ1
Social Sciences (miscellaneous)Q1
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Web of Science Categories
Social Sciences, Mathematical MethodsStatistics & Probability
Scopus Categories
Applied MathematicsStatistics, Probability and UncertaintySocial Sciences (miscellaneous)Statistics and Probability
Research Topics (OpenAlex)
Survey Methodology and NonresponseStatistical Methods and Bayesian InferenceSurvey Sampling and Estimation TechniquesEconomic and Environmental ValuationHealthcare Policy and ManagementStatistical Methods and InferenceData-Driven Disease SurveillanceHealth disparities and outcomesFocus Groups and Qualitative MethodsAdvanced Causal Inference Techniques