# Analysis Plan Template

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Usage: Pre-specify quantitative and/or qualitative analysis choices.
Save to: RESEARCH/[topic]/analysis_plan.md
-->

# Analysis Plan

## 1) Study ID
- Title:
- RQ(s):
- Design type:

## 2) Data Overview
- Unit of analysis:
- Data sources:
- Timepoints:
- Planned exclusions:

## 3) Outcomes / Targets
| Outcome ID | Definition | Measure | Timepoint | Primary? |
|-----------:|------------|---------|----------|----------|
| O1 | | | | Y/N |
| O2 | | | | Y/N |

### Qualitative analytic targets (if applicable)
- Focal process / practice / meaning:
- Primary evidence forms (cases / interviews / fieldnotes / documents):
- Comparison logic (within-case / cross-case / temporal / actor-level):

## 4) Estimands / Claims
For each primary outcome or qualitative target:
- What is the estimand / target quantity?
- What constitutes practical significance?
- Direction convention (what is “better”)?

## 5) Quantitative Analysis (If Applicable)

### Models
| Outcome ID | Model/Estimator | Covariates | Assumptions Checks | Robustness |
|-----------:|------------------|------------|--------------------|------------|
| O1 | | | | |

### Multiple comparisons (if many outcomes/tests)
- Strategy:

### Missing data
- Mechanism assumptions:
- Handling method:

### Subgroups / heterogeneity
- Pre-specified subgroup variables:
- Interaction tests vs stratified models:

### Sensitivity analyses
- Leave-one-out / influential points:
- Alternative specifications:
- Exclude high-risk subsets:

## 6) Qualitative Analysis (If Applicable)

- Approach: thematic analysis / framework / grounded theory / Gioia / process research / content analysis
- Unit of coding / case boundary:
- Coding strategy: inductive / deductive / hybrid
- Codebook development:
- Memoing and reflexivity plan:
- Within-case and cross-case comparison logic:
- Negative / disconfirming case handling:
- Saturation or theoretical sufficiency rule:
- Inter-coder reliability (if used):
- Trustworthiness: triangulation, member checking, audit trail, reflexivity

## 7) Data Quality / Evidence Quality Checks
- Valid range checks:
- Duplicate detection:
- Attention checks (surveys):
- Outliers:
- Transcript / note quality checks:
- Case evidence completeness:

## 8) Reporting Plan
- Tables/figures to produce:
- Qualitative transparency artifacts to produce:
- What will be in appendix:
- How uncertainty will be reported:

## 9) Deviations Log
| Date | Deviation | Rationale | Impact |
|------|-----------|-----------|--------|
| | | | |
