Research Collaboration: Data Analysis Plan

Draft analysis plan for collaborative research project

Important

Confidential: This document is shared with collaborators only. Please do not distribute.

1 Project Overview

1.1 Research Questions

1. How does [variable X] affect [outcome Y]?
2. What mediating factors explain this relationship?
3. Do effects vary by [subgroup Z]?

1.2 Data Description

1.2.1 Dataset Information

• Source: [Data source]
• Sample size: N = [number]
• Time period: [dates]
• Key variables: [list]

1.2.2 Variables

Variable	Type	Description	Notes
outcome_var	Continuous	Primary outcome measure	Scale 0-100
treatment_var	Binary	Treatment indicator	0=control, 1=treatment
confound_var	Categorical	Potential confounder	Categories A, B, C

1.3 Analysis Plan

1.3.1 Primary Analysis

# Main regression model
model1 <- lm(outcome_var ~ treatment_var + confound_var, data = df)
summary(model1)

1.3.2 Secondary Analyses

1. Subgroup analysis by demographic factors
2. Sensitivity analysis excluding outliers
3. Robustness checks with alternative specifications

1.3.3 Expected Timeline

• Week 1: Data cleaning and exploration
• Week 2: Primary analysis
• Week 3: Secondary analyses
• Week 4: Write-up and interpretation

1.4 Preliminary Results

Warning

Draft Results: These are preliminary and subject to change.

Initial findings suggest [brief description of results].

1.5 Next Steps

1. Complete data cleaning
2. Run full analysis pipeline
3. Schedule follow-up meeting
4. Begin drafting manuscript

1.6 Meeting Notes

1.6.1 [Date] Meeting

Attendees: [Names]

Discussion Points: - Agreed on analysis approach - Identified potential data issues - Set timeline for completion

Action Items: - [ ] [Person A]: Complete data cleaning - [ ] [Person B]: Run preliminary models - [ ] [Person C]: Draft methods section

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This document will be updated as the project progresses.