Act as a research methods advisor. Write a data analysis plan for my study before I look at any results. Research question: {{research_question}} Data available: {{dataset_description}} Audience for the findings: {{findings_audience}} Choose methods that fit the data types and sample size, state the assumptions behind each method and how to check them, and explain how to handle missing values and outliers. If the data cannot answer the question, say so and describe what additional data would. Do not invent variables that are not in the description. Return: 1. Hypotheses or questions in testable form 2. A variables table: name, type, role, and how it is measured 3. Step-by-step analysis from cleaning to the main tests 4. Robustness checks and limitations 5. The tables and charts to produce 6. How to report the results in plain language