NCME Journals - Call for Volunteer Reviewers

NCME Journals - Call for Volunteer Reviewers
Thank you for your interest in serving as a peer reviewer for National Council on Measurement in Education (NCME) publications, including:
- Educational Measurement: Issues and Practice (EM:IP)
- Journal of Educational Measurement (JEM)
- Chinese/English Journal of Educational Measurement and Evaluation (CEJEME)
- Educational Assessment (EA)
We welcome applications from scholars, researchers, and practitioners who hold (or are pursuing) an advanced degree (e.g., Ph.D., Ed.D.) and have a demonstrated record of scholarly publications in educational measurement, psychometrics, assessment, quantitative research methods, or related fields.

Please complete this form to provide your background, methodological expertise, and review preferences. Based on the survey results, the NCME journal editorial teams will review applications and reach out with manuscript review invitations to candidates whose profiles align with their respective journal’s reviewing criteria and current needs.

There are five sections, and it will take about five minutes to complete the application.

Section 1: Contact & Professional Information
Name

First NameLast Name
Email
example@example.com
Current Institutional / Organizational Affiliation
Current Position / Title (e.g., Assistant/Associate/Full Professor, Research Scientist, Psychometrician)
Highest Degree Earned

Other
Field / Major of Highest Degree (e.g., Educational Measurement, Psychometrics, Quantitative Psychology, Statistics)

Section 2: Target Journals & Review Language
Target NCME Journal(s) you are interested in reviewing for:
Language(s) in which you can review manuscripts:

Section 4: Academic Background & Review Capacity
Academic Profile Link(s) (Google Scholar, ORCID iD, or Institutional Profile URL). Please provide multiple pieces of evidence if applicable.
Representative Publications or Equivalent Professional Experience – Please list 1 to 3 peer-reviewed journal articles (in APA format) that best represent your research expertise. Alternatively, if applicable, you may provide equivalent professional and scholarly experiences (e.g., technical reports, large-scale assessment development, white papers, or significant conference presentations) that demonstrate your expertise in the field.
Previous Peer-Review Experience
Estimated Annual Review Capacity

Section 5: Additional Information & Consent
Optional Comments / Additional Expertise Details for the Editorial Teams
Agreement & Consent – I confirm that the information provided is accurate and consent to having my profile stored in the NCME reviewer database for future review invitations.
Should be Empty: