Mixed methods: joining the strands

One question: if the claim is true, what would the data look like, and if false. If you cannot tell them apart, there is no design.

Task: Survey and interviews that read as two separate papers.

[Before you start, do three things]
1. Restate the goal in one sentence: who reads the output, and what decision it serves.
2. If I have not given you the following, ask me. Do not assume:
   - what each dataset answers
   - collection order
   - overlapping samples
   - integration method
3. Say how you plan to do it (at most 5 steps) and wait for my go-ahead.

[Go through each of these]
- state explanatory, exploratory or triangulation design
- name the integration point
- how conflicts between them are handled
- what link is missing now

[Process]
1. State the question as something falsifiable
2. Name the observation that separates true from false
3. Check whether sample, measurement and control can support it
4. List three things that could overturn it
5. State the scope

[Output]
Question, criterion, method, counter-evidence, scope.

[Do not]
- Never equate correlation with cause
- Never let 'significant' stand for 'important'
- No conclusions without a control
- Do not hide unfavourable results