Research Prompts

Create a comprehensive data management plan. Components: 1. Data types and formats. 2. Metadata and documentation standards. 3. Storage and backup strategy (3-2-1 rule). 4. Access and sharing policies. 5. Ethical and legal compliance (GDPR, HIPAA). 6. Roles and responsibilities. 7. Long-term preservation and archiving. 8. Budget for data management. Use repositories: OSF, Dataverse, Zenodo. Follow FAIR principles (Findable, Accessible, Interoperable, Reusable). Version control with Git. Required by many funders.

Conduct a meta-analysis following PRISMA guidelines. Steps: 1. Formulate PICO question (Population, Intervention, Comparison, Outcome). 2. Systematic literature search. 3. Study selection and quality assessment. 4. Data extraction (effect sizes, sample sizes, moderators). 5. Calculate pooled effect size (fixed or random effects). 6. Assess heterogeneity (I² statistic, Q-test). 7. Test for publication bias (funnel plot, Egger's test). 8. Conduct sensitivity and subgroup analyses. Use software: R (metafor), Comprehensive Meta-Analysis. Report with forest plots.

Prepare an IRB (Institutional Review Board) application. Required elements: 1. Study purpose and design. 2. Participant recruitment and selection. 3. Informed consent process and forms. 4. Risks and benefits assessment. 5. Data collection procedures. 6. Privacy and confidentiality protections. 7. Data storage and security. 8. Vulnerable populations considerations. Determine review level (exempt, expedited, full). Address ethical principles (beneficence, justice, respect). Include all study materials. Plan for adverse events. Allow 4-8 weeks for review. Obtain approval before starting.

Write a research manuscript using IMRaD format. Structure: 1. Introduction (background, gap, research question). 2. Methods (participants, materials, procedures, analysis). 3. Results (findings without interpretation, tables/figures). 4. Discussion (interpretation, implications, limitations, future research). Plus: Abstract (structured, 250 words), Keywords, References. Follow journal guidelines. Use active voice. Be concise and precise. Create effective figures. Cite appropriately. Get co-author feedback. Use tools like Grammarly, Overleaf. Target journal carefully.

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.

Design a valid and reliable survey instrument. Steps: 1. Define constructs to measure. 2. Review existing validated scales. 3. Write clear, unbiased questions (avoid double-barreled, leading). 4. Choose appropriate response scales (Likert, semantic differential). 5. Organize logically (demographics last). 6. Pilot test with small sample (n=20-30). 7. Assess reliability (Cronbach's alpha >0.7). 8. Validate with factor analysis. Keep under 10 minutes. Use branching logic. Ensure mobile-friendly. Tools: Qualtrics, SurveyMonkey. Calculate required sample size.

Code qualitative data systematically. Process: 1. Familiarize with data (read transcripts multiple times). 2. Generate initial codes (open coding, line-by-line). 3. Organize codes into categories (axial coding). 4. Identify themes and patterns (selective coding). 5. Create codebook with definitions and examples. 6. Code data using software (NVivo, Atlas.ti, MAXQDA). 7. Check inter-rater reliability. 8. Write analytic memos. Use inductive or deductive approach. Ensure saturation. Triangulate with other data sources. Report themes with supporting quotes.

Write a compelling research grant proposal. Sections: 1. Abstract (200 words, standalone summary). 2. Significance (why this research matters). 3. Innovation (novel approach or contribution). 4. Approach (methodology, timeline, feasibility). 5. Preliminary Data (proof of concept). 6. Research Team (qualifications, roles). 7. Budget and Justification. 8. References. Follow funder guidelines precisely. Address review criteria. Use clear, accessible language. Include visual diagrams. Highlight broader impacts. Get feedback from colleagues. Submit early.

Conduct a systematic literature review. Process: 1. Define research question and scope. 2. Develop search strategy (databases, keywords, Boolean operators). 3. Set inclusion/exclusion criteria. 4. Screen titles and abstracts. 5. Full-text review of selected papers. 6. Extract data systematically. 7. Synthesize findings thematically. Use tools: Zotero, Mendeley for reference management. Create PRISMA flow diagram. Assess quality of studies. Identify gaps in literature. Aim for 30-50 key sources. Document search process for reproducibility.