Article Format Structure

Submission and Online System
Manuscripts must be submitted in MS-Word by one of the authors through the journal’s online submission system; submissions by non-authors are not accepted. Authors are invited to suggest up to four qualified reviewers with relevant expertise in educational evaluation, measurement, standard-setting/accreditation, and quality assurance, providing current e-mail addresses; the journal reserves the right to use the suggested reviewers or to assign others. If online submission is temporarily unsuccessful, authors should contact the Editorial Office via the official website for assistance. JEES considers only original work not under review elsewhere.

Files and Anonymization
Prepare two separate files: a one-page Title Page (with author details) and an anonymous Main Document with no identifying information. The title page must be uploaded as its own Word file labeled “Title page (with author details).”

Essential Title Page Information
The title should be concise and informative and, where applicable, clearly indicate relevance to educational evaluation, measurement, or standards; avoid unnecessary abbreviations and formulae. Provide each author’s given and family names accurately, with lower-case superscript letters linking names to full institutional affiliations including postal addresses, country names, and e-mail addresses. Identify the Corresponding Author, responsible for communication during review, production, and post-publication queries; institutional e-mail is preferred and contact details must be kept current. If an author has moved since the work was completed, a present/permanent address may be noted as a superscripted footnote while retaining the affiliation at which the work was performed as primary. Non-anonymized elements such as acknowledgements, CRediT contribution statements, funding, ethics approval and informed consent identifiers, conflict-of-interest disclosures, and data/code availability statements belong on the title page.

Appendices and Supplementary Material
Upload appendices and supplementary files as “Supplementary material.” Items may include instruments and scoring guides, interview protocols, code and model specifications, datasets (subject to privacy and compliance), details of equating/standard-setting procedures, additional figures, and robustness checks. Supplementary files are published as received; to make changes at any stage, supply an updated version with a brief note.

Manuscript Structure (Summary)
Title (Times New Roman, 12-pt); Abstract (200–250 words); Keywords (six to eight); Introduction (with background); Literature Review; Conceptual and Theoretical Framework (or Model); Research Methodology (materials and methods); Results (if applicable); Discussion (with findings); Conclusion (recommendations and future directions); Limitations; Necessary Statements (competing interests, author agreement, declaration of generative AI, ethics, and data/code availability); References (APA, latest edition).

Manuscript Structure (Detailed Guidance)
The title should use active phrasing and summarize the central idea in about 10–15 words; interdisciplinary work should reflect both the evaluation/measurement dimension and the standards/policy or contextual domain. The abstract must be concise and factual, preferably structured to cover the research problem, purpose, design and data, measures with validity/reliability/fairness evidence, key results with effect sizes and confidence intervals, and implications; citations should generally be avoided and non-standard abbreviations defined at first use. Keywords follow the abstract and should complement rather than repeat the title, drawing terms from evaluation/measurement and from standards/policy or accreditation; capitalize the first letter and separate by commas. The introduction moves from the general problem to specific research questions and/or hypotheses, explains significance and scope, situates the study in educational evaluation and standards, and clarifies intended contributions. The literature review describes, synthesizes, and critically evaluates prior work across measurement/evaluation, standard-setting/accreditation/quality assurance, and policy or practice, positioning the present study within that landscape. The conceptual and theoretical framework articulates constructs and relationships, the interpretive/use argument and validity evidence chain, and how standard-setting, equating/linking, or reporting frameworks inform the design. The methodology details design, context and sampling, instruments and data collection, procedures and analysis plan, and reports reliability, validity, measurement invariance, DIF, model fit, equating/linking or standard-setting procedures and implementation fidelity; for integrated designs, explain how evaluation/measurement and standards/policy approaches are combined. Results are presented objectively in a logical sequence aligned with methods, with effect sizes and uncertainty, and with disclosure of key psychometric indices and model fit. The discussion interprets findings against prior evidence, addresses limitations and generalizability, and states actionable implications for standard-setting, score interpretation, quality assurance, and policy or practice while avoiding over-generalization. The conclusion synthesizes contributions, offers actionable recommendations and future research directions, and reflects on the value of the interdisciplinary integration. The limitations section critically appraises constraints related to sample, instruments, methods, context, fairness, test security, and risks of misuse. Necessary statements include conflicts of interest, author agreement and collective responsibility, generative-AI use and its scope, ethics approvals and consent, data/code/materials availability and access routes, and permissions for third-party content. References must follow APA 7th with complete consistency between in-text citations and the reference list and should prioritize reputable, indexed sources.

Figures, Tables, and Equations
Submit figures as JPG or PNG at a minimum of 300 dpi with legible characters and symbols. Tables and equations must be editable; prepare tables in Word/Excel and equations with Equation Editor. Number figures, tables, and equations in the order of appearance and cite them in-text as “Figure 1,” “Table 2,” etc.; embed them at appropriate locations in the main text rather than grouping them at the end. Provide a complete caption for every figure and table consisting of the number, a brief title, and a concise description; include a source citation at the end of the caption for any non-original material. Use black-and-white tables in the same font as the text, place table notes below the body, avoid vertical rules and shading, and deploy tables sparingly to prevent duplication of results described elsewhere. Permissions must be obtained for artwork not created by the authors.

References and Examples (APA)
In-text citations and the reference list must conform to APA (latest). Examples include: journal article—Bonoti, F., & Metallidou, P. (2010). Children’s judgments and feelings about their own drawings. Psychology, 1, 329–336; proceedings—Grudin, J. (1990). The computer reaches out: The historical continuity of interface design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 261–268). New York, NY: ACM Press; monograph—Helfer, M. E., Keme, R. S., & Drugman, R. D. (1997). The battered child (5th ed.). Chicago, IL: University of Chicago Press; datasets and code—Johnson, M., & Williams, S. (2022). Assessment Fairness Benchmark Dataset (Version 1.0) [Data set]. Zenodo. https://doi.org/xxxx; Smith, J. (2023). StandardsSettingTools [Computer software]. GitHub. https://github.com/xxxx. Please use the manuscript template available on the journal website when preparing your submission.