Journal of Survey Statistics and Methodology

Aims & Scope

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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	1.60

SJR (SCImago Journal Rank)

Year	Value
2024	1.077

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	27

Journal Rank

Year	Value
2024	4263

Journal Citation Indicator

Year	Value
2024	348

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Mathematics and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Summary Report of the AAPOR Task Force on Non-probability Sampling

  Citation: 457

  Authors: R., J. M., N. A., M., M. P., J. A., K. J., R.

• Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates

  Citation: 292

  Authors: Jessica, Michael, Katja

• A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research

  Citation: 200

  Authors: Carina, Annelies G, David, Jon A, Edith D, Stéphane, Josh, Darren, Benjamin, Joseph W, Bella, Alexander

• AIC and BIC for modeling with complex survey data

  Citation: 108

  Authors: T., A.

• Trends in U.S. Face-To-Face Household Survey Nonresponse and Level of Effort

  Citation: 100

  Authors: Douglas, J Michael

• Comparing Alternatives for Estimation from Nonprobability Samples

  Citation: 81

  Authors: Richard

• Combining List Experiment and Direct Question Estimates of Sensitive Behavior Prevalence

  Citation: 68

  Authors: P. m., A., F. W., D. P.

• Evaluating Confidence Interval Methods for Binomial Proportions in Clustered Surveys

  Citation: 57

  Authors: Natalie, Marcello

• Integrating Probability and Nonprobability Samples for Survey Inference

  Citation: 56

  Authors: Arkadiusz, Joseph W, Diego Andres, Annelies G

• Turnout Bias in Postelection Surveys: Political Involvement, Survey Participation, and Vote Overreporting

  Citation: 56

  Authors: Pascal, Andreas C.

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