Data Analysis
Less than 1 minute
Catalog
Mixed Methods Integration
- #I have quantitative survey data (n=200) and qualitative interview data (n=25) on physician burnout. Help me: 1) Design integration strategy (convergent parallel design), 2) Analyze each dataset separately, 3) Compare and contrast QUAN and QUAL findings, 4) Create joint display table, 5) Develop meta-inferences, 6) Write integrated results section
Multilevel Modeling
- #Analyze student test scores (level 1) nested within schools (level 2) and districts (level 3). Help me: 1) Calculate intraclass correlations, 2) Build null model and assess variance components, 3) Add level-1 predictors (student SES, prior achievement), 4) Add level-2 predictors (school resources), 5) Test cross-level interactions, 6) Report random effects and fixed effects. Use R or HLM.
Qualitative Analysis
Qualitative Coding
- #I have 20 interview transcripts on teacher experiences with remote learning. Help me: 1) Develop initial coding scheme using grounded theory approach, 2) Apply codes systematically across transcripts, 3) Organize codes into hierarchical structure, 4) Identify major themes and sub-themes, 5) Select representative quotes for each theme, 6) Ensure coding rigor and reflexivity
Quantitative Analysis
- #Analyze survey data from 300 participants on student anxiety levels. Help me: 1) Clean and prepare data (handle missing values, outliers), 2) Run appropriate statistical tests (t-tests, ANOVA, chi-square), 3) Check assumptions for each test, 4) Calculate effect sizes and confidence intervals, 5) Create publication-ready tables in APA format. Use R or Python.
Regression Modeling
- #Build multiple regression model to predict graduate school GPA from GRE scores, undergrad GPA, research experience, and socioeconomic factors. Help me: 1) Check assumptions (linearity, normality, homoscedasticity, multicollinearity), 2) Test different model specifications, 3) Interpret coefficients and R², 4) Assess model fit, 5) Report results in APA format. Use R or Python.
Statistical Power
- #Calculate required sample size for RCT comparing two mindfulness interventions for anxiety. Assumptions: 1) Expected medium effect size (d=0.5), 2) Power = 0.80, 3) Alpha = 0.05, 4) Two-tailed test, 5) 20% attrition rate. Also help me: justify effect size, consider budget constraints, plan interim analyses
Structural Equation Modeling
- #Test theoretical model of student engagement using SEM with 400 participants. Help me: 1) Specify measurement model (CFA), 2) Assess model fit (CFI, TLI, RMSEA, SRMR), 3) Test structural model with paths, 4) Evaluate direct and indirect effects, 5) Report results with path diagram, 6) Use lavaan in R or Mplus
Survival Analysis
- #Analyze time-to-PhD-completion data for 500 doctoral students. Help me: 1) Prepare data in person-period format, 2) Estimate Kaplan-Meier curves by field of study, 3) Run Cox proportional hazards model with predictors (funding, advisor support, publications), 4) Test proportional hazards assumption, 5) Interpret hazard ratios, 6) Create survival curves. Use R.