Quantitative Methods for Psychology Journals

The Quantitative Methods for Psychology

The Quantitative Methods for Psychology is a peer-reviewed, open-access electronic journal that publishes articles and tutorials in all areas of quantitative psychology. The mission of the journal is to help both novice and expert researchers acquire methods related to the implementation of experimental paradigms, the description and analysis of data, and the development of quantitative models. By providing practical articles and tutorials, we hope to facilitate the transfer and dissemination of new methodologies and, consequently, give them more visibility in empirical research. The journal also encourages replications and incremental improvements of models.

Psychological Methods

Psychological Methods is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research. The journal solicits original theoretical, quantitative, empirical, and methodological articles; reviews of important methodological issues; tutorials; articles illustrating innovative applications of new procedures to psychological problems; articles on the teaching of quantitative methods; and reviews of statistical software. Submissions will be judged on their relevance to understanding psychological data, methodological correctness, and accessibility to a wide audience. Where appropriate, submissions should illustrate through concrete example how the procedures described or developed can enhance the quality of psychological research.


Psychometrika contains articles on the development of quantitative models for psychological phenomena, and on quantitative methodology in the social and behavioral sciences, including new mathematical and statistical techniques for the evaluation of psychological data, and the application of such techniques. Empirical studies will be considered only if they involve new or particularly interesting uses of quantitative techniques.

Journal of Educational and Behavioral Statistics

The Journal of Educational and Behavioral Statistics publishes articles that are original and useful to those applying statistical approaches to problems and issues in educational or behavioral research. Typical papers present new methods of analysis. In addition, critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods will be published.

British Journal of Mathematical and Statistical Psychology

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.

Multivariate Behavioral Research

Multivariate Behavioral Research publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods. 

Quantitative and Computational Methods in Behavioral Sciences

The Journal for Quantitative and Computational Methods in Behavioral Sciences (QCMB) strives to foster the development of methods in psychology and related fields. To achieve this aim, QCMB publishes scientific articles that are suited to extend the understanding of foundational mathematics used in psychological methods, development of new methods and software or hardware for those, comparison of existing or new methods, and dissemination of this knowledge to a broader audience of scientists in psychology or related fields. QCMB is dedicated to Open Science: All published articles are openly available for free. There is no publication fee for the review process or the publication. QCMB makes all articles available as pre-prints as soon as they go into the review process and keeps them available regardless of the formal decision.

Methodology: European Journal of Research Methods for the Behavioral and Social Sciences

Methodology provides a platform for interdisciplinary exchange of methodological research and applications in the different fields, including new methodological approaches, review articles, software information, and instructional papers that can be used in teaching. Three main disciplines are covered: data analysis, research methodology, and psychometrics. The articles published in the journal are not only accessible to methodologists but also to more applied researchers in the various disciplines.

Frontiers in Quantitative Psychology and Measurement

The journal publishes contributions to the theory and use of best practices in quantitative methods and measurement applied to research in psychology and related social sciences. We welcome articles on all aspects of quantitative psychology and measurement, including, but not limited to:

– the study of methods and techniques for the measurement of human attributes,
– the statistical and mathematical modeling of psychological processes,
– the design of quantitative research studies,
– best practices in quantitative analysis of data
– best practices in quantitative methods of policy and program evaluation and
– exemplars of excellence in application of quantitative methods and measurement to substantive areas of broad interest.

Applied Psychological Measurement

Applied Psychological Measurement provides a complete picture of the measurement discipline. Its wide range of features keep you informed of all the latest developments that shape this evolving field of study. Among the features you’ll find in its pages are

-articles reporting the latest empirical research and methodological developments

-brief reports of exploratory, small-sample, or replication studies

-computer program reviews of commercially available software packages used in applied measurement

-book reviews of important new publications

-announcements of statistical and measurement meetings, symposia and workshops

Educational and Psychological Measurement

Educational and Psychological Measurement (EPM) publishes referred scholarly work from all academic disciplines interested in the study of measurement theory, problems, and issues. Theoretical articles address new developments and techniques, and applied articles deal with innovation applications.

Behavior Research Methods

The journal Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology.

Journal of Experimental Education

The Journal of Experimental Education publishes theoretical, laboratory, and classroom research studies that use the range of quantitative and qualitative methodologies. In recent issues, JXE has published examinations of statistical methodologies and editorial practices used in several educational research journals.

The journal’s audience includes researchers and practitioners interested in advancing educational research and improving teaching, learning, and schooling. The journal is divided into three sections: 1) Learning, Instruction, and Cognition; 2) Motivation and Social Processes; and 3) Measurement, Statistics, and Research Design.


Meta-Psychology is an Open Access journal that publishes theoretical and empirical contributions that advance psychology as a science through critical discourse related to individual articles, research lines, research areas, or psychological science as a field. Important contributions include systematic reviews, meta-analyses, replicability reports, replication studies, and file-drawer reports. We encourage pre-registered studies and registered reports (i.e., peer-review on the basis of theory, methods, and planned data-analysis, before data has been collected). Manuscripts introducing novel methods are welcome, but also tutorials on established methods that are still poorly understood by psychology researchers. We further welcome papers introducing statistical packages or other software useful for psychology researchers.

Meta-Psychology aims to be as open and transparent as possible, and this include open peer review, as well as open data, code and materials. There are no article processing fees for publishing in the journal.

Journals that regularly publish Quantitative Methods for Psychology articles, but are not specifically devoted to the field:

Journal of Statistics: Advances in Theory and Applications

The Journal of Statistics: Advances in Theory and Applications is a fully refereed international journal, which publishes original research papers and survey articles in all areas of Theoretical and Applied Statistics. Computational and Experimental papers are also published. 

Structural Equation Modeling

Structural Equation Modeling: A Multidisciplinary Journal publishes refereed scholarly work from all academic disciplines interested in structural equation modeling. These disciplines include, but are not limited to, psychology, medicine, sociology, education, political science, economics, management, and business/marketing. Theoretical articles address new developments; applied articles deal with innovative structural equation modeling applications; the Teacher’s Corner provides instructional modules on aspects of structural equation modeling; book and software reviews examine new modeling information and techniques; and advertising alerts readers to new products. Comments on technical or substantive issues addressed in articles or reviews published in the journal are encouraged; comments are reviewed, and authors of the original works are invited to respond.

Communications in Statistics: Simulation and Computation

The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.

Electronic Journal of Statistics

The Electronic Journal of Statistics (EJS) publishes research articles and short notes on theoretical, computational and applied statistics. The journal is open access. Articles are refereed and are held to the same standard as articles in other IMS journals. Articles become publicly available shortly after they are accepted.

Journal of the Royal Statistical Society: Series B

The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long tradition of publishing work that is at the leading edge of methodological development, with a strong emphasis on relevance to statistical practice. Included are papers on study design, statistical models, methods of analysis and the theory that underlies them – almost invariably motivated or illustrated by real examples. Series B aims to disseminate work which is innovative, insightful and likely to have a substantial impact on the way that data are collected and analysed; within these parameters the journal’s scope is broad, embracing for example relevant work in applied probability, computational methods and the foundations of statistics. Methodological papers read before the Society at its Ordinary Meetings, organized regularly by the Research Section of the Society, are published in Series B with full discussion and authors’ response.

Journal of the Royal Statistical Society: Series C

The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies). A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice, the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies).

Statistical Science

A central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a modest technical level accessible to the wide community of practitioners, teachers, researchers and students of statistics and probability.

Journal of Modern Applied Statistical Methods

JMASM is an independent print and electronic journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, quantitative or qualitative evaluators, and methodologists. Three areas are appropriate for JMASM:

– Development or study of new statistical tests or procedures, or the comparison of existing statistical tests or procedures, using computer-intensive Monte Carlo, bootstrap, jackknife, or resampling methods
– Development or study of nonparametric, robust, permutation, exact, and approximate randomization methods
– Applications of computer programming, preferably in Fortran (all other programming environments are welcome), related to statistical algorithms, pseudo-random number generators, simulation techniques, and self-contained executable code to carry out new or interesting statistical methods.

Computational Statistics and Data Analysis

Computational Statistics & Data Analysis (CSDA), the official journal of the International Association of Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of three refereed sections, and a fourth section dedicated to news on statistical computing. The refereed sections are divided into the following subject areas:

I) Computational Statistics – Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics, computational econometrics, computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.

Journal of Applied Statistics

The Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees. Each issue aims for a balance of methodological innovation, thorough evaluation of existing techniques, case studies, speculative articles, book reviews and letters.

Journal of Multivariate Analysis

A central medium for the publication of important research in the general area of multivariate analysis, the Journal of Multivariate Analysis presents articles on fundamental theoretical aspects of the field as well as on other aspects concerned with significant applications of new theoretical methods. Although articles addressing univariate analysis are considered for publication, particular attention is given to papers that discuss problems concerned with more than one variable.

In addition to helping to stimulate research in multivariate analysis, the journal aims to bring about interactions among mathematical statisticians, probabilists, and scientists in other disciplines broadly interested in the area.

International Journal of Social Research Methodology

A key feature of this journal is the mix of academic and theoretically-slanted methodological articles, articles relating to research practice in professional and service settings, and those considering the relationship between the two. It thus addresses an audience of researchers within academic and other research organizations as well as practitioner-researchers in the field. The journal provides: 1) a focus for on-going and emerging methodological debates across a range of approaches, both qualitative and quantitative, and including mixed and comparative methods, as these relate to philosophical, theoretical, ethical, political and practical issues; 2) an international medium for the publication of discussions of social research methodology and practices across a wide range of social science disciplines and substantive interests; and 3) a forum for researchers based in all sectors to consider and evaluate methods as these relate to research practice.

Journal of Data Science

By “Data Science”, we mean almost everything that has something to do with data: Collecting, analyzing, modeling…… yet the most important part is its applications — all sorts of applications. This journal is devoted to applications of statistical methods at large. The Journal of Data Science publishes research works on a wide range of topics that involving understanding and making effective use of field data — i.e., all aspects of applied statistics. We prefer applied research and emphasis is on the relevance of the underlying problem rather than pure mathematical depth. We prefer papers with solid applications and real cases. Detailed technical proof, particularly those that push to the extreme, is not required. The papers published in the Journal of Data Science will cover a wide range of spectrum, as can be seen from the affiliations of the members of our editorial board.

Journal of Statistics: Advances in Theory and Applications

The Journal of Statistics: Advances in Theory and Applications is a fully refereed international journal, which publishes original research papers and survey articles in all areas of Theoretical and Applied Statistics. Computational and Experimental papers are also published.

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