# Research Methodology Knowledge

## Data Reliability Evaluation

Data quality is determined by source reliability and clarity of documentation.


### Data Source Priority

| Priority | Data Source | Examples |
|----------|------------|---------|
| 1 | Government statistics/white papers | Census, ministry statistics |
| 2 | Municipal open data | City statistical reports, open data portals |
| 3 | Industry groups/research institutions | Think tanks, academic research |
| 4 | News (with primary source reference) | Newspapers, specialized media |
| 5 | News (without primary source) | Secondary reports, aggregation articles |

## Qualitative Analysis Evaluation

Quality of qualitative analysis is evaluated by logical causality and concrete evidence.


### Distinguishing Causation from Correlation

"A and B occur together" is correlation. "A causes B" is causation. Claiming causation requires mechanism explanation or elimination of alternative factors.

## Handling Un-researchable Items

Report honestly when items cannot be researched. Do not fill gaps with speculation.

| Situation | Response |
|-----------|----------|
| Data is not public | Report "Unable to research" with reason |
| Data exists but not found | Report "Not found" with locations searched |
| Only partial data available | Report what was found, note gaps |
| Want to supplement with speculation | Clearly mark as speculation with reasoning |