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.

I have a binary outcome (yes/no) and want to predict it from multiple variables using logistic regression. Help me: 1) Prepare data with proper coding of outcome variable (0/1)

I have clustered or cluster-randomized trial data and need to account for clustering. Help me: 1) Calculate design effect and effective sample size

I have compositional data (proportions that sum to 1) and need specialized analysis methods. Guide me: 1) Understand why standard methods fail for compositional data

I have count data (number of events) as my outcome variable. Help me: 1) Decide between Poisson regression and negative binomial regression based on overdispersion

I have data from a matched pairs or matched case-control design. Help me: 1) Understand paired vs independent data structure

I have data with outliers and need to decide how to handle them. Help me: 1) Identify outliers using boxplots

I have longitudinal data with multiple waves and want to model growth over time. Help me: 1) Decide between growth curve modeling (latent growth) vs multilevel modeling for repeated measures

I have missing data in my dataset and need to handle it properly. Help me: 1) Assess missing data patterns (MCAR

I have nested data (students within classrooms within schools) and need multilevel modeling. Guide me: 1) Calculate intraclass correlation (ICC) to assess clustering

I have non-normal data and need to use nonparametric tests. Help me: 1) Decide when nonparametric tests are necessary vs transforming data

I have ordinal outcome data (Likert scale: strongly disagree to strongly agree). Help me: 1) Decide whether to treat as ordinal (ordinal logistic regression) or continuous (linear regression)

I have panel data (same subjects measured at multiple time points) and need appropriate analysis methods. Guide me: 1) Decide between fixed effects and random effects models

I have repeated measures data (pre-test

I need to adjust for multiple comparisons in my analysis with many tests. Guide me: 1) Understand when adjustment is needed (family-wise error rate)

I need to analyze data from a Delphi study with multiple rounds. Help me: 1) Calculate measures of central tendency (median) and dispersion (IQR) for each round

I need to analyze data from a meta-analysis with effect sizes from multiple studies. Guide me: 1) Extract or calculate effect sizes (d

I need to analyze experimental data with multiple dependent variables (MANOVA). Help me: 1) Understand when MANOVA is appropriate vs multiple ANOVAs

I need to analyze Likert scale data from questionnaires. Help me: 1) Decide whether to analyze items individually or as scale scores

I need to analyze survey data comparing two groups on a continuous outcome measure. Help me: 1) Decide whether to use independent samples t-test vs Mann-Whitney U test based on normality and variance assumptions

I need to analyze time series data for trends and forecasting. Guide me: 1) Plot time series and check for stationarity

I need to calculate and report appropriate effect sizes for my study. Help me: 1) Choose appropriate effect size based on analysis type (d

I need to check my regression assumptions with diagnostic plots and tests. Help me: 1) Create residual plots to check linearity and homoscedasticity

I need to code and analyze open-ended survey responses quantitatively. Guide me: 1) Develop coding scheme based on initial review of responses

I need to conduct confirmatory factor analysis (CFA) to validate a measurement scale. Guide me: 1) Specify theoretical factor structure based on prior research

I need to conduct propensity score matching to reduce confounding in observational data. Guide me: 1) Estimate propensity scores using logistic regression predicting treatment

I need to conduct reliability analysis for a multi-item scale. Help me: 1) Calculate Cronbach's alpha for internal consistency

I need to conduct structural equation modeling (SEM) with latent variables. Guide me: 1) Specify measurement model (CFA) and structural model (paths between latent variables)

I need to create a comprehensive data analysis plan before accessing my data. Help me: 1) Specify all hypotheses and research questions a priori

I need to create publication-quality tables for my regression results. Help me: 1) Use stargazer

I need to predict a continuous outcome from multiple predictors using multiple regression. Guide me: 1) Conduct exploratory data analysis and check for multicollinearity (VIF)

I need to transform skewed variables to meet normality assumptions. Help me: 1) Assess skewness and kurtosis statistics

I want to test moderation (interaction) between a continuous predictor and a categorical moderator on an outcome. Help me: 1) Create interaction term (product of predictor and moderator)

I want to visualize my regression model predictions and confidence intervals. Guide me: 1) Use ggplot2 in R for publication-quality plots

I'm analyzing a 2x3 factorial experiment and need to conduct two-way ANOVA. Guide me through: 1) Setting up the data in appropriate format (long vs wide)

I'm analyzing a complex survey with sampling weights and stratification. Help me: 1) Understand survey design (stratification

I'm analyzing a cross-tabulation of two categorical variables (treatment group x outcome success/failure). Help me: 1) Create a contingency table with frequencies and percentages

I'm analyzing pretest-posttest control group design data. Help me: 1) Decide between ANCOVA (using pretest as covariate) vs change scores vs repeated measures

I'm analyzing randomized controlled trial data according to CONSORT guidelines. Help me: 1) Conduct intention-to-treat (ITT) analysis including all randomized participants

I'm analyzing survival data (time to event) with censoring. Help me: 1) Create survival objects in R (Surv function)

I'm conducting Bayesian analysis and need to interpret credible intervals and Bayes factors. Guide me: 1) Understand difference between Bayesian and frequentist approaches

I'm conducting exploratory factor analysis (EFA) to discover underlying factors in my data. Help me: 1) Check if data is suitable using KMO and Bartlett's test

I'm conducting mediation analysis to test if a variable mediates the relationship between X and Y. Help me: 1) Understand Baron and Kenny steps vs modern approaches (bootstrapping)

I'm conducting network analysis or path analysis. Guide me: 1) Specify theoretical model with directional paths

I'm conducting receiver operating characteristic (ROC) analysis for diagnostic accuracy. Help me: 1) Create ROC curve plotting sensitivity vs 1-specificity

I'm planning a study and need to conduct power analysis for sample size determination. Guide me: 1) Specify expected effect size based on prior research or smallest effect of interest

I'm testing measurement invariance across groups (e.g.

I'm using R for data analysis and need to create reproducible analysis scripts. Guide me: 1) Use RMarkdown or Quarto for literate programming

Quantitative Analysis

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