Quantitative Methods for Psychology

metrics 2024

Advancing Psychological Insights Through Quantitative Research

Introduction

Quantitative Methods for Psychology, with ISSN 1913-4126 and E-ISSN 2292-1354, is a premier open-access journal published by the University of Montreal, Department of Psychology. Since its inception in 2005, this journal has served as a vital resource for the dissemination of cutting-edge research and methodological advancements in psychological science. With a focus on quantitative approaches, it welcomes submissions that explore innovative statistical techniques, data analysis methodologies, and empirical studies that enhance understanding in psychology. The journal’s commitment to accessibility ensures that researchers, practitioners, and students alike can benefit from the wealth of knowledge it offers, fostering collaboration and advancing the field. As an integral platform for sharing significant findings and best practices, Quantitative Methods for Psychology is positioned to make substantial contributions to the landscape of psychological research.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor1.30
Journal Impact Factor (5 years)2.70
H-Index-
Journal IF Without Self1.30
Eigen Factor0.00
Normal Eigen Factor0.23
Influence1.15
Immediacy Index0.30
Cited Half Life7.10
Citing Half Life12.30
JCI0.93
Total Documents-
WOS Total Citations711
SCIMAGO Total Citations-
SCIMAGO SELF Citations-
Scopus Journal Rank-
Cites / Document (2 Years)-
Cites / Document (3 Years)-
Cites / Document (4 Years)-

Metrics History

Rank 2024

IF (Web Of Science)

SOCIAL SCIENCES, INTERDISCIPLINARY
Rank 103/263
Percentile 61.00
Quartile Q2

JCI (Web Of Science)

SOCIAL SCIENCES, INTERDISCIPLINARY
Rank 79/263
Percentile 69.96
Quartile Q2

Quartile History

Similar Journals

Wiley Interdisciplinary Reviews-Computational Statistics

Transforming Data into Knowledge with Computational Precision
Publisher: WILEYISSN: 1939-0068Frequency: 6 issues/year

Wiley Interdisciplinary Reviews: Computational Statistics is a leading journal published by WILEY, renowned for its influential contributions to the field of statistics and its application in computational studies. With an impressive impact factor reflected in its 2023 categorization as Q1 in Statistics and Probability, this journal ranks among the top in its category, positioned at 20 out of 278 in Scopus, placing it in the 92nd percentile for its discipline. The journal spans from 2009 to 2024 and offers a rich repository of interdisciplinary insights that encompass both theoretical advancements and practical applications of computational statistics, making it an invaluable resource for researchers, professionals, and students alike. While it does not currently offer open access, the journal's commitment to high-quality, peer-reviewed content ensures that it remains a trusted source for cutting-edge developments and methodologies in the rapidly evolving realm of computational statistics.

Methods Data Analyses

Championing Excellence in Quantitative Analysis
Publisher: GESIS LEIBNIZ INST SOCIAL SCIENCESISSN: 1864-6956Frequency: 2 issues/year

Methods Data Analyses is a premier open-access journal published by GESIS Leibniz Institute for the Social Sciences, based in Germany. With its focus on advanced methodologies within various fields such as Applied Mathematics, Applied Psychology, Computer Science Applications, and Statistics, this journal plays a pivotal role in disseminating innovative research and practical applications that push the boundaries of quantitative analysis. As of 2023, it proudly holds Q1 status in both Applied Mathematics and Modeling and Simulation, reflecting its high impact and relevance in these disciplines. The journal is committed to promoting open access research since 2013, ensuring that critical methodologies and findings are available to a global audience. With Scopus rankings indicating robust standing across multiple categories, including Statistics and Decision Sciences, Methods Data Analyses stands as an essential resource for researchers, professionals, and students seeking to engage with cutting-edge approaches and frameworks that enhance analytical rigor in their work.

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

Elevating your research skills in the social sciences.
Publisher: PSYCHOPENISSN: 1614-1881Frequency: 4 issues/year

Methodology-European Journal of Research Methods for the Behavioral and Social Sciences is a premier, open access journal dedicated to advancing the field of research methods within the behavioral and social sciences. Published by PSYCHOPEN, this journal plays a vital role in disseminating innovative methodologies and rigorous research designs to foster scholarly communication among researchers, professionals, and students. With an impact factor reflecting its credibility and relevance—categorized within the Q2 in Psychology and Q1 in Social Sciences in 2023—this journal ensures that contemporary scientific practices are at the forefront of academic discourse. With its origins dating back to 2005, Methodology is committed to providing free and unfettered access to its contributions, encouraging wide-reaching application and replication of research findings. Located in Trier, Germany, the journal is a cornerstone for those aiming to enhance their research skills and appreciate the nuanced complexities involved in behavioral and social investigations.

STATISTICA NEERLANDICA

Pioneering insights in the realm of statistics and probability.
Publisher: WILEYISSN: 0039-0402Frequency: 4 issues/year

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.

PSYCHOMETRIKA

Cultivating insights that shape the future of psychometrics.
Publisher: SPRINGERISSN: 0033-3123Frequency: 4 issues/year

PSYCHOMETRIKA, an esteemed journal published by Springer, serves as a premier platform for advancing the field of psychometrics and quantitative psychology. Since its inception in 1936, the journal has maintained its commitment to disseminating high-quality research, making significant contributions to both applied mathematics and psychology, reflected in its distinguished Q1 ranking in relevant categories as of 2023. With an impressive Scopus ranking, positioned at #117 in Applied Mathematics and #62 in General Psychology, it occupies a critical niche for scholars aiming to explore the interplay between statistical methods and psychological measurement. Although not open access, PSYCHOMETRIKA provides a rigorous peer-reviewed environment that fosters innovative research, methodologies, and theories while offering valuable insights relevant to researchers, professionals, and students alike. Prepared to bridge theoretical knowledge with practical application, this journal is a vital resource for those looking to deepen their understanding of psychometric principles and advance their scholarly endeavors in the behavioral sciences.

ANNALS OF STATISTICS

Fostering Excellence in Statistical Research Since 1996
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0090-5364Frequency: 6 issues/year

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Pioneering Methodologies in Statistical Research
Publisher: OXFORD UNIV PRESSISSN: 1369-7412Frequency: 5 issues/year

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, published by OXFORD UNIVERSITY PRESS, is a leading academic journal dedicated to advancing the field of statistical methodology. With a distinguished Q1 ranking in both Statistics and Probability and Statistics, Probability and Uncertainty as of 2023, this journal stands at the forefront of statistical research, serving as a vital resource for researchers, professionals, and students alike. The journal has been committed to fostering innovative statistical techniques and methodologies since its inception in 1997, covering a wide scope of topics that push the boundaries of statistical applications in various disciplines. Based in the United Kingdom, the journal maintains its reputation through rigorous peer-review practices and high-quality content, making it an indispensable platform for those looking to disseminate their findings and engage with current trends in statistical science. Although the journal does not offer open access, the impact and scholarly significance of its articles remain profoundly influential in shaping contemporary statistical discourse.

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Fostering Collaboration in the World of Statistics
Publisher: WILEYISSN: 1369-1473Frequency: 4 issues/year

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

Annals of Applied Statistics

Fostering Excellence in Statistical Applications
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 1932-6157Frequency: 4 issues/year

The Annals of Applied Statistics, published by the Institute of Mathematical Statistics (IMS), is a leading academic journal that serves as a crucial repository for groundbreaking research in the fields of statistics and probability applications. Since its inception in 2008 and continuing through 2024, this journal has established itself as an influential platform with a notable reputation, boasting a prestigious Q1 classification in 2023 across critical categories such as Modeling and Simulation and Statistics, Probability, and Uncertainty. With its rigorous peer-review process and significant Scopus rankings—including a position of #78 in Statistics and Probability—Annals of Applied Statistics aims to foster innovative statistical methods and their applications in a variety of disciplines. Researchers, professionals, and students interested in the latest advancements in analytical methods will find this journal essential for navigating the evolving landscape of applied statistics. The journal does not offer open access options, ensuring that published content reflects the highest academic standards.

TECHNOMETRICS

Empowering Insights Through Quantitative Analysis
Publisher: TAYLOR & FRANCIS INCISSN: 0040-1706Frequency: 4 issues/year

TECHNOMETRICS, established in 1959 and published by Taylor & Francis Inc, serves as a premier journal in the fields of applied mathematics, modeling and simulation, and statistics and probability. With its ISSN number 0040-1706 and E-ISSN 1537-2723, the journal has successfully converged over its decades-long history and is recognized for its substantial contributions to the quantitative analysis and application of statistical methods. TECHNOMETRICS is proud to maintain a distinguished reputation, ranking in the Q1 category for 2023 across its relevant fields, and positioning itself within the top 86th percentile in Mathematics _ Statistics and Probability as per Scopus rankings. While this journal currently does not operate under an open access model, it remains a crucial resource for researchers, professionals, and graduate students seeking insights and advancements in the realm of statistical methodologies and applications. Its commitment to disseminating high-quality research ensures it stands as an invaluable platform for innovation and scholarly discourse within the statistical community, making it essential reading for anyone interested in the evolution of applied statistical techniques.