《British Journal Of Mathematical & Statistical Psychology》雜志的最新年發文量為29篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章，以保持其在數學跨學科應用領域的學術影響力。
該刊聚焦于心理學-數學跨學科應用領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 12周，或約稿 。
British Journal Of Mathematical & Statistical Psychology 雜志發文統計
文章名稱引用次數
- Cognitive diagnosis modelling incorporating item response times20
- A caveat on the Savage-Dickey density ratio: The case of computing Bayes factors for regression parameters8
- Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses8
- A penalized likelihood method for multi-group structural equationmodelling8
- ANOVA and the variance homogeneity assumption: Exploring a better gatekeeper7
- A diagnostic tree model for polytomous responses with multiple strategies7
- Improving precision of ability estimation: Getting more from response times6
- Circular interpretation of regression coefficients6
- Direction of dependence in measurement error models6
- A note on Type S/M errors in hypothesis testing6
國家/地區發文量
- USA55
- CHINA MAINLAND19
- GERMANY (FED REP GER)18
- Netherlands16
- Taiwan7
- Canada6
- England4
- Belgium3
- Spain3
- France2
