ScholarEval Evaluation Framework
Detailed criteria, rubrics, and quality indicators for each ScholarEval dimension.
1. Problem Formulation & Research Questions
Strong (4–5):
- Research question is specific, measurable, and bounded in scope
- Theoretical or practical significance is explicitly stated
- Hypothesis or objective is falsifiable and testable
Adequate (3):
- Research question is present but could be more precise
- Significance implied rather than argued
Weak (1–2):
- Research question is absent, vague, or overly broad
- No articulation of why this question matters
Critical issues (score 1):
- No discernible research question
- Question is trivially answered or unanswerable
2. Literature Review
Strong (4–5):
- Covers foundational and recent (≤5 years) literature
- Synthesises themes, contradictions, and research gaps
- Critically evaluates sources rather than summarising
Adequate (3):
- Coverage of major works but gaps in recent literature
- Describes sources without deep synthesis
Weak (1–2):
- Missing major foundational works
- Chronological listing with no synthesis
3. Methodology & Research Design
Strong (4–5):
- Design clearly matches research questions
- Validation procedures stated and justified
- Limitations explicitly acknowledged
- Reproducible: code, data, or protocol available
Adequate (3):
- Design appropriate but validation incomplete
- Limitations mentioned briefly
Weak (1–2):
- Design mismatched to research questions
- No validation or reproducibility information
4. Data Collection & Sources
Strong (4–5):
- Data source clearly described and justified
- Sample size appropriate with power analysis or justification
- Preprocessing steps fully documented
Weak (1–2):
- Data source unclear or inappropriate
- No justification for sample size
5. Analysis Rigor
Strong (4–5):
- Statistical tests appropriate to data type and distribution
- Effect sizes and confidence intervals reported
- Multiple comparison corrections applied where needed
- Assumptions explicitly tested
Weak (1–2):
- Inappropriate tests for data type
- p-values reported without effect sizes or CI
- Assumptions untested
6. Presentation & Scholarly Writing
Strong (4–5):
- Logical structure with clear transitions
- Figures and tables are self-contained with informative captions
- Conclusions follow directly from results
- Appropriate academic register throughout
Weak (1–2):
- Disorganised structure
- Conclusions overclaim beyond the data
7. Contribution & Significance
Strong (4–5):
- Clear articulation of what is new relative to prior work
- Practical or theoretical implications stated
- Limitations of generalisability acknowledged
Scoring Scale Reference
| Score | Label | Meaning |
|---|---|---|
| 5 | Excellent | Exemplary; publishable in top venues |
| 4 | Good | Strong with minor improvements needed |
| 3 | Adequate | Acceptable with notable areas for improvement |
| 2 | Needs improvement | Significant revisions required |
| 1 | Poor | Fundamental issues requiring major revision |
Search Patterns
- “Problem Formulation criteria” → Section 1
- “Literature Review rubric” → Section 2
- “Methodology assessment” → Section 3
- “Data quality indicators” → Section 4
- “Analysis rigor standards” → Section 5
- “Writing quality checklist” → Section 6