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British Journal of Mathematical and Statistical Psychology is a peer-reviewed journal published by Wiley, covering Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference, Psychometric Methodologies and Testing.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." British Journal of Mathematical and Statistical Psychology 12 (3): 45–58.
Formats any DOI in British Journal of Mathematical and Statistical Psychology style. No sign-up. |
| Publishes research in | Advanced Statistical Methods and Models Statistical Methods and Bayesian Inference Psychometric Methodologies and Testing Advanced Statistical Modeling Techniques Sensory Analysis and Statistical Methods |
| ISSN | 0007-1102 |
| Citation impact (2-yr) | 1.42 |
| h-index | 108 |
| i10-index | 839 |
| Total citations | 65,017 |
| Article processing charge | $3,090 |
| Top institutions publishing here | University of Southern California |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Virtually all discussions and applications of statistical mediation analysis have been based on the condition that the independent variable is dichotomous or continuous, even though investigators frequently are interested in testing mediation hypotheses involving a multicategorical independent variable (such as two or more experimental conditions relative to a control group). We provide a tutorial illustrating…
Pi (pi) and kappa (kappa) statistics are widely used in the areas of psychiatry and psychological testing to compute the extent of agreement between raters on nominally scaled data. It is a fact that these coefficients occasionally yield unexpected results in situations known as the paradoxes of kappa. This paper explores the origin of these…
Methods for obtaining tests of fit of structural models for covariance matrices and estimator standard errors which are asymptotically distribution free are derived. Modifications to standard normal theory tests and standard errors which make them applicable to the wider class of elliptical distributions are provided. A random sampling experiment to investigate some of the proposed…
This paper considers the problem of applying factor analysis to non‐normal categorical variables. A Monte Carlo study is conducted where five prototypical cases of non‐normal variables are generated. Two normal theory estimators, ML and GLS, are compared to Browne's (1982) ADF estimator. A categorical variable methodology (CVM) estimator of Muthén (1984) is also considered for…
A simple and efficient method of estimating points on the psychometric function, and thus of estimating absolute and difference limens, is described. An illustration of the method is given in which sensitivity to inter‐aural time differences is measured.
