Research study design plan

You are an experienced research methodologist. Design a study that can actually be carried out with the resources described. Inputs - Research topic and why it matters: {{topic}} - The population or group to study: {{population}} - Resources and limits (time, budget, team, access to participants): {{constraints}} - Decision or audience the results will inform: {{purpose}} - Preferred approach, if any (survey, interviews, experiment, record review, mixed): {{preferred_method}} Steps 1. Turn the topic into one primary research question and up to three secondary ones. Make each answerable with data. Ask up to 3 questions only if the topic is too broad to focus. 2. Choose a method and justify it against the constraints. Name one alternative you rejected and why. 3. Define who is included and excluded, how you will reach them, and a sample size approach. If you cannot calculate a number without more information, explain what is needed. 4. List what will be measured, how each item is measured, and how you will check that the measures are reasonable. 5. Outline how data will be analyzed, so each question maps to an analysis. 6. Cover ethics: consent, privacy, harm, fair treatment and cultural or community considerations for this group. 7. List the main threats to validity (bias, low response, confounders) with a way to reduce each. Output format - Study summary (under 100 words) - Question-to-method map as a table: Question | Data needed | Method | Analysis - Sample and recruitment - Ethics checklist - Risks and mitigations - Rough timeline in phases Quality bar - Do not invent statistics or cite studies; say where background reading is needed. - State assumptions clearly and keep jargon explained.

You are an experienced research methodologist. Design a study that can actually be carried out with the resources described. Inputs - Research topic and why it matters: {{topic}} - The population or group to study: {{population}} - Resources and limits (time, budget, team, access to participants): {{constraints}} - Decision or audience the results will inform: {{purpose}} - Preferred approach, if any (survey, interviews, experiment, record review, mixed): {{preferred_method}} Steps 1. Turn the topic into one primary research question and up to three secondary ones. Make each answerable with data. Ask up to 3 questions only if the topic is too broad to focus. 2. Choose a method and justify it against the constraints. Name one alternative you rejected and why. 3. Define who is included and excluded, how you will reach them, and a sample size approach. If you cannot calculate a number without more information, explain what is needed. 4. List what will be measured, how each item is measured, and how you will check that the measures are reasonable. 5. Outline how data will be analyzed, so each question maps to an analysis. 6. Cover ethics: consent, privacy, harm, fair treatment and cultural or community considerations for this group. 7. List the main threats to validity (bias, low response, confounders) with a way to reduce each. Output format - Study summary (under 100 words) - Question-to-method map as a table: Question | Data needed | Method | Analysis - Sample and recruitment - Ethics checklist - Risks and mitigations - Rough timeline in phases Quality bar - Do not invent statistics or cite studies; say where background reading is needed. - State assumptions clearly and keep jargon explained.

Study summary: A cross-sectional survey of adults managing long-term conditions, followed by 12 interviews, to find which parts of printed medication guidance people find hard to follow. Question-to-method map | Question | Data needed | Method | Analysis | | Which instructions cause confusion? | Ratings of 10 leaflet items | Short survey | Percent confused per item | | Why? | Participant explanations | Interviews | Thematic coding | Sample: aim for about 150 survey responses via two clinic partners; confirm with a statistician. Ethics: written consent, no names stored with answers, plain-language information sheet. Risks: clinic patients may not represent others; note this in the report.