British Journal of Mathematical and Statistical Psychology

Aims & Scope

The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists.

New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	1.50

Journal Rank

Year	Value
2024	3780

Journal Citation Indicator

Year	Value
2024	248

SJR (SCImago Journal Rank)

Year	Value
2024	1.159

Quartile

Year	Value
2024	Q1

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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
• Medline

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Arts and Humanities, Mathematics, Medicine and Psychology, 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.

• Statistical mediation analysis with a multicategorical independent variable

  Citation: 2424

  Authors: Andrew F., Kristopher J.

• Computing inter‐rater reliability and its variance in the presence of high agreement

  Citation: 1337

  Authors: Kilem Li

• Asymptotically distribution‐free methods for the analysis of covariance structures

  Citation: 1255

  Authors: M. W.

• A comparison of some methodologies for the factor analysis of non‐normal Likert variables

  Citation: 1142

  Authors: Bengt, David

• SEQUENTIAL ESTIMATION OF POINTS ON A PSYCHOMETRIC FUNCTION

  Citation: 903

  Authors: G. B., H.

• How to do a meta‐analysis

  Citation: 853

  Authors: Andy P., Raphael

• K‐means clustering: A half‐century synthesis

  Citation: 808

  Authors: Douglas.

• Robustness?

  Citation: 638

  Authors: James V.

• Synthesizing standardized mean‐change measures

  Citation: 604

  Authors: Betsy Jane

• THE THEORETICAL FOUNDATIONS OF PRINCIPAL FACTOR ANALYSIS, CANONICAL FACTOR ANALYSIS, AND ALPHA FACTOR ANALYSIS

  Citation: 586

  Authors: Roderick P.

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