Survey Research Methods

SJR Rank #11,276H-index: 45SJR: 0.528Best quartile: Q2Open Access (Diamond, no APC)Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

European Survey Research Association

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.651.31.952.6

Subject Categories

  • EducationQ2

Areas: Social Sciences

Most published research topics

COVID-19 Pandemic ImpactsStatistical Methods and Bayesian InferencePrivacy-Preserving Technologies in DataPrivacy, Security, and Data ProtectionSurvey Methodology and NonresponseGender, Labor, and Family DynamicsUrban, Neighborhood, and Segregation StudiesAdvanced Statistical Methods and ModelsQualitative Comparative Analysis Research

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs020406080

Documents per Year

2022202506121824

Detailed Information

ISSN

1864-3361

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

1.15

References per Document

58.91

Coverage

2007-2026

Scope

Survey Research Methods is the official peer-reviewed journal of the European Survey Research Association (ESRA). The journal publishes articles in English, which discuss methodological issues related to survey research. Three types of papers are in-scope: - Papers discussing methodological issues in substantive research using survey data; - Papers that discuss methodological issues that are more or less independent of the specific field of substantive research; - Replication studies of studies published in SRM Topics of particular interest include survey design, sample design, question and questionnaire design, data collection, nonresponse, data capture, data processing, coding and editing, measurement errors, imputation, weighting and survey data analysis methods. Survey Research Methods focuses on data collection methods for large scale surveys, but papers on special populations are welcome. We do not publish pure mathematical papers or simulations. We also normally do not publish papers based on students, or on small sized experiments. Papers on larger experiments, or papers based on data from non-probability samples are welcome given that authors undertake steps to assess external validity or limitations concerning population estimates in detail.

Metrics from SCImago Journal Rank 2025. View on SCImago