Upload Your Research Data
Upload an Excel (.xlsx) or CSV file to begin analysis. Your data stays in your browser — nothing is sent to any server.
Click to upload or drag & drop your file here
Supports .xlsx and .csv files
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Column Types
Google Forms Synthetic Response Generator
Paste a Google Form URL or its HTML source to generate synthetic responses that mimic human survey patterns.
Form Structure
Generated Responses
Excel-Based Synthetic Response Generator
Upload a real survey Excel file to analyze its distributions, then generate synthetic responses that match the patterns.
Click to upload a survey data Excel file
This will analyze the real data patterns to generate matching synthetic data
Survey Structure Detected
Generated Responses
Summary Statistics
Calculate descriptive statistics for numeric variables in your dataset.
Select Variables
Results
Frequency Tables
View frequency distributions, percentages, and cumulative percentages for each variable.
Select Variable
Frequency Distribution
Data Visualizations
Generate histograms, box plots, and bar charts for your variables.
Chart
Cronbach's Alpha
Measure internal consistency reliability of a scale. Select items that belong to the same construct/factor.
Select Scale Items (numeric columns only)
Cronbach's Alpha Results
Item-Total Statistics
Composite Reliability (CR) & rho_A
Calculate Composite Reliability (CR) and rho_A for construct reliability assessment. Define constructs and their indicator items.
Define Constructs
Add constructs and assign indicator variables to each. Use numeric/Likert columns only.
Composite Reliability Results
Convergent & Discriminant Validity
AVE for convergent validity, Fornell-Larcker criterion and HTMT ratio for discriminant validity. Uses the same construct definitions from Composite Reliability.
Using construct definitions from Composite Reliability panel. If you haven't defined constructs yet, please do so there first.
Validity Results
Average Variance Extracted (AVE)
Fornell-Larcker Criterion
Diagonal = sqrt(AVE), off-diagonal = inter-construct correlations. Discriminant validity is established when diagonal values exceed off-diagonal values in the same column.
HTMT Ratio
Values below 0.85 (conservative) or 0.90 (liberal) indicate discriminant validity.
Correlation Matrix
Pearson or Spearman correlation with significance testing.
Select Variables
Correlation Matrix
* p < .05, ** p < .01, *** p < .001
Regression Analysis
Simple and multiple linear regression with R², coefficients, and significance tests.
Independent Variables (X)
Regression Results
Coefficients
T-Tests
Independent samples or paired samples t-test.
T-Test Results
ANOVA
One-way ANOVA with post-hoc Tukey HSD test.
ANOVA Results
Group Descriptives
ANOVA Table
Post-Hoc: Tukey HSD
Chi-Square Test of Independence
Test the relationship between two categorical variables.
Chi-Square Results
Contingency Table (Observed)
Expected Frequencies
Test Statistics
Exploratory Factor Analysis (EFA)
Discover latent factor structure. Includes KMO, Bartlett's test, scree plot, eigenvalues, and rotated component matrix.
Select Variables
EFA Results
Eigenvalues & Variance Explained
Rotated Component Matrix
Confirmatory Factor Analysis (CFA)
Test a hypothesized factor structure. Uses construct definitions from the Composite Reliability panel. Reports model fit indices (CFI, TLI, RMSEA, SRMR) and factor loadings.
Uses construct definitions from Composite Reliability. Make sure you've defined your constructs there.
CFA Results
Model Fit Indices
Factor Loadings
PLS-SEM Path Modeling
Partial Least Squares SEM with path coefficients, R², f² effect size, and bootstrapped significance. Uses constructs from Composite Reliability panel.
Define Structural Paths
Define causal paths between constructs (from Composite Reliability definitions).
PLS-SEM Results
Path Coefficients
R² Values
Mediation Analysis
Test indirect effects. Baron & Kenny method, Sobel test, and bootstrapped indirect effect confidence intervals.
Mediation Results
Moderation Analysis
Test interaction effects. Compares model with and without interaction term.
Moderation Results
K-Means Cluster Analysis
Group observations into clusters based on numeric variables.
Select Variables
Cluster Results
Cluster Centers
Cluster Sizes
ML Predictive Modeling
Build predictive models using linear regression, logistic regression, or decision tree classification.
Feature Variables
Model Performance
Feature Importance
Time Series Analysis
Visualize trends, compute moving averages, and detect patterns over time.
Time Series Results
Financial & Market Analysis
Financial ratio analysis, trend analysis, and growth metrics. Upload financial data with columns for metrics over time periods.
Select columns representing financial metrics. The tool will compute ratios from your data.
Select Metric Columns
Financial Results
Qualitative Manual Coding
Code text data by assigning themes/categories to text segments. Select a text column to begin coding.
Coding Workspace
Coding Summary
Automated Text Analysis
Word frequency, n-gram analysis, and basic sentiment detection for text data.
Automated Analysis Results
Inter-Coder Reliability
Calculate Cohen's Kappa between two coders. Upload data with two columns representing each coder's assignments.
Inter-Coder Reliability Results
Agreement Matrix
Mixed Methods Design
Frameworks for integrating quantitative and qualitative findings.
Diagnostics & Robustness
Common Method Bias (Harman's single factor), normality tests, and multicollinearity diagnostics (VIF).