Manuscript Reporting Guidelines
To ensure methodological rigor and transparency across disciplines, JISSAW requires authors to adhere to recognized reporting standards. We strongly encourage authors to consult the following guidelines appropriate for their specific research design:
1. Disciplinary Reporting Standards
- Quantitative Research (Surveys & Experiments): Authors should follow APA JARS-Quant or STROBE for observational studies, and CONSORT for randomized social/behavioral interventions.
- Qualitative Research (Interviews & Ethnography): Please adhere to APA JARS-Qual or the COREQ checklist to ensure transparency in data collection and analysis.
- Systematic Reviews & Meta-Analyses: All review papers must adhere to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.
- Mixed-Methods Research: Studies combining quantitative and qualitative data should follow GRAMMS (Good Reporting of A Mixed Methods Study).
- Case Studies: For clinical or wellbeing case reports, use the CARE Guidelines. For social or educational case studies, follow APA JARS recommendations.
2. Guidelines for Short Communications
Short communications (≤1,500 words) should focus on high-impact updates, such as preliminary findings in social behavior, pedagogical innovations, or critical commentary on health policy. These manuscripts must prioritize novel insights over exhaustive data analysis and clearly link findings to practical implications for researchers or practitioners.
3. Policy on Artificial Intelligence (AI)
JISSAW strictly enforces the following ethical standards regarding Generative AI (e.g., ChatGPT, LLMs):
- Transparency: The use of any AI tools for data processing, language refinement, or editing must be explicitly disclosed in the Comments for Editor section while submitting the manuscript, Methods, or Acknowledgements section.
- Accountability: AI tools cannot be listed as authors. Human authors are fully responsible for the accuracy and integrity of the submission.
- Originality Limits: AI-generated text or images must be plagiarism-free and properly cited. AI-generated content must not exceed 19% of the total manuscript word count.