Measurement is devoted to the interdisciplinary study of measurement in the social sciences, as well as in engineering and other scientific disciplines. Each issue will contain peer-reviewed articles across interdisciplinary academic areas that provide advances in measurement applications.
The journal considers articles that critically engage with measurements used in accounting, biostatistics, data analytics, economics, engineering, finance, management, marketing, public and health policy, sociology, statistics, while covering educational psychology statistics research topics.
In addition, the focus of the journal will provide the readership with book reviews and software reviews when available. Measurement will include articles that highlight the development of new measurement applications, concepts and current practices in measurement.
The focus of submitted articles that address important issues in the field may include, but are not limited to, one of the following areas:
• Advances in measurement applications in the social sciences, medicine, business, kinesiology, etc.; • Theoretical articles that give a new perspective on measurement research, and/or practice in measurement; • Applied measurement articles in various interdisciplinary fields of study; • Meta-analysis, meta-synthesis, summary, or systematic critique of a measurement topic; • A book review that covers an in-depth review of a current measurement textbook; • A comprehensive software review of a measurement software product, e.g., R package.
The numerous measurement topics can include, but are not limited to, the following:
• Bayesian Measurement/Modeling • Classroom Assessment • Cognitive Diagnostic Modeling • Computer Adaptive Testing • Diagnostic Classification Models • Differential Item Functioning • Econometrics and Finance • Environmental and Spatial Statistics • Generalizability Theory/Models • Health and Public Policy • Linking/Equating • Mokken Analysis • Quality Control • Rating Scale Analysis/Models • Reliability and Safety Engineering • Structural Equation Modeling/Multi-level modeling • Survey Sampling • Survival Analysis • Test security • Text Analysis • Time Series Analysis • Validity and Reliability issues conducted in a research study Note: The Journal does not publish reliability and validity studies of specific tests or assessment instruments. Such analysis must be part of a larger applied measurement research article.
There are software programs today that can be evaluated and presented in the journal. A few are:
• MIRT • OpenBugs • Winsteps • Stan • Parscale • R packages
This journal provides content for social scientists with an interest in the study of measurement, its theory, and application; including psychometricians, psychologists, educational researchers, policy researchers, educational and psychological test developers, medical and public health professionals.
Please see Instructions for Authors page for submission details.
Peer Review Policy: All focus articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by two anonymous referees. All commentary and rejoinder papers in this journal have undergone editorial screening and peer review.
Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106.
Journal metrics
Usage
23K annual downloads/views
Citation metrics
0.6 (2023) Impact Factor
4.6 (2023) 5 year IF
1.8 (2023) CiteScore (Scopus)
0.528 (2023) SNIP
0.327 (2023) SJR
Speed/acceptance
0 days avg. from submission to first
decision
12 days avg. from submission to first
post-review decision
147 days avg. from acceptance to online
publication
34% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Editor Jong-Min Kim -University of Minnesota Morris, USA
Editorial Board Anthony Albano - University of California - Davis, USA Mohammed Alqawba - Qassim Univeristy, Saudi Arabia Elvan Ceyhan - Auburn University, USA Tsung-Chi Cheng - National Chengchi University, Taiwan Hasan Dinçer - Istanbul Medipol University, Türkiye Michael Eid - Freie Universität Berlin, Germany Susan Embertson - Georgia Institute of Technology, USA Takeshi Emura - The Institute of Statistical Mathematics, Japan George Engelhard, Jr - University of Georgia, USA Leah Feuerstahler - Fordham University, USA Kyoji Furukawa - Kurume University, Japan Il Do Ha - Pukyong National University, Republic of Korea Abdul Haq - Quaid-i-Azam University, Pakistan Xianzheng Huang -University of South Carolina, USA Anne Corinne Huggins-Manley - University of Florida, USA Hong Jiao - University of Maryland, College Park, USA Seongil Jo -Inha University, Republic of Korea Brian Junker - Carnegie Mellon University, USA Jam Khojasteh - Oklahoma State University, USA Michael B.C. Khoo - Universiti Sains Malaysia, Malaysia Sangjin Kim -Dong-A University, Republic of Korea Stella Y. Kim - The University of North Carolina at Charlotte, USA Emily Leary -University of Missouri, USA Keon-Hyung Lee - Florida State University, USA Minjae Lee - University of Texas Southwestern Medical Center, USA Seung Jung Lee -Federal Reserve Board, USA Roy Levy - Arizona State University, USA Xinyi Li - Clemson University, USA Boikanyo Makubate -Botswana International University of Science and Technology, Botswana Katerina Marcoulides - University of Minnesota, USA Sean Mulvenon - University of Nevada, Las Vegas, USA Paolo Pagnottoni - University of Insubria, Italy Paulo Canas Rodriguese - Federal University of Bahia, Brazil Joon Jin Song -Baylor University, USA Li-Hsien Sun - National Central University, Taiwan Jimmy de la Torre - University of Hong Kong, Hong Kong René Cabral Torres - EGADE Business School Tecnológico de Monterrey, Mexico Gajendra K. Vishwakarma - Indian Institute of Technology Dhanbad, India Tao Xin - Beijing Normal University, China Bruno Zumbo - The University of British Columbia, Canada
Past Editors Paul De Boeck -K.U. Leuven, Belgium Pamela Moss -University of Michigan, USA Randall E. Schumacker -University of Alabama, USA Mark Wilson -University of California, Berkeley, USA
Updated 15-07-2024
Abstracting and indexing
Abstracted/indexed in:
CSA - PsycINFO
EBSCOhost - Academic Search Alumni Edition - Academic Search Complete - Academic Search Premier - Current Abstracts - TOC Premier
Measurement: Interdisciplinary Research and Perspectives is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
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