#analysis-plan

Create a comprehensive statistical analysis plan. Components: 1. Research questions and hypotheses. 2. Variables (independent, dependent, covariates). 3. Descriptive statistics (means, frequencies, distributions). 4. Data cleaning and missing data handling. 5. Assumption testing (normality, homogeneity). 6. Primary analyses (t-tests, ANOVA, regression). 7. Secondary and exploratory analyses. 8. Multiple comparison corrections. 9. Effect sizes and confidence intervals. 10. Software and packages (R, SPSS, Stata). Pre-register plan before data collection. Avoid p-hacking.