Methods, Data, Analyses

SJR Rank #3,274H-index: 11SJR: 1.274Best quartile: Q1Open Access (Diamond, no APC)Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

GESIS - Leibniz Institute for the Social Sciences

Country

Germany

Type

journal

SJR by Edition

2022202500.350.71.051.4

Subject Categories

  • Applied MathematicsQ1
  • Applied PsychologyQ1
  • Computer Science ApplicationsQ1
  • Modeling and SimulationQ1
  • Statistics and ProbabilityQ1
  • Statistics, Probability and UncertaintyQ1

Areas: Computer Science · Decision Sciences · Mathematics · Psychology

Most published research topics

Survey Methodology and NonresponseSociology and Education StudiesSocial and Intergroup PsychologyElectoral Systems and Political ParticipationSocial Power and Status DynamicsSocial Media and PoliticsHealth and Medical StudiesSports Science and EducationPublic Administration and Political AnalysisHealth disparities and outcomes

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs09182736

Documents per Year

20222025036912

Detailed Information

ISSN

2190-4936, 1864-6956

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

1.67

References per Document

38.36

Coverage

2019-2025

Scope

Methods, data, analyses (mda) publishes research on all questions important to quantitative methods in the social sciences, with a special emphasis on survey methodology. Mda is released online as open-access journal. All content is freely available and can be distributed without any restrictions, ensuring the free flow of information that is crucial for scientific progress. Of course, mda does not raise any publication fees. We especially invite authors to submit articles extending the profession's knowledge on the science of surveys, be it on data collection, measurement, or data analysis and statistics. We also welcome applied papers that deal with the use of quantitative methods in practice, with teaching quantitative methods, or that present the use of a particular state-of-the-art method using an example for illustration.

Metrics from SCImago Journal Rank 2025. View on SCImago