STATCAL ONLINE • STATISTICAL METHODS
Analyze Data.
Build Reliable Statistical Evidence.
A dedicated statistical analysis feature of STATCAL ONLINE.
STATCAL ONLINE Statistical Methods
brings together focused, browser-based applications for regression,
panel data analysis, hypothesis testing, group comparisons,
questionnaire analysis, model diagnostics, reliability assessment,
and other quantitative research workflows.
✓ Statistical Analysis
✓ Browser-Based
✓ Research-Oriented
✓ Exportable Results
STATCAL ONLINE Statistical Analysis Tools
Explore Statistical Methods
Select a statistical method based on your research design and analytical
objective. Each application provides a focused workflow for data analysis,
diagnostics, interpretation, and exportable statistical output.
1
Panel Data
Panel Data Regression Analyzer
Estimate Common Effect, Fixed Effect, and Random Effect models,
compare specifications using Chow, Hausman, and Lagrange Multiplier
tests, and export publication-ready panel regression results.
2
Panel Data
Random Effects GLS Panel Data Analyzer
Estimate Random Effect Models using random-effects GLS/FGLS,
supported by model selection tests, regression diagnostics,
interpretation, and exportable statistical output.
3
Fixed Effects
Panel Data Regression with Fixed Effects
Fit cross-section, period, or two-way fixed effects models with
robust standard errors, fixed-effect intercepts, STATA-style
within/between/overall R-squared, F tests, diagnostics, and exports.
4
Panel Financial Analysis
Panel Financial Descriptive, Correlation, and Regression Assumption Analyzer
Filter companies and years, calculate descriptive statistics,
correlation matrices with p-values, estimate multiple regression,
evaluate assumptions, and export tables or diagnostic graphics.
5
Regression Diagnostics
Linear Regression Assumption Analyzer
Run multiple linear regression, classical assumption tests,
outlier diagnostics, and publication-ready residual visualization
for one dependent variable and multiple predictors.
6
Questionnaire Regression
Questionnaire Multiple Linear Regression and Classical Assumption Analyzer
Filter respondents, define categorical split groups, choose
dependent and independent variables flexibly, estimate regression
models, evaluate assumptions, and export scientific results.
7
Two-Group Comparison
Independent Samples Analysis
Compare two independent groups using Student's t-test, Welch's
t-test, Mann-Whitney U test, homogeneity testing, effect sizes,
outlier diagnostics, split analysis, and flexible graphics.
8
Paired Comparison
Paired Samples Analysis
Analyze paired or repeated measurements using paired samples
t-tests, Wilcoxon signed-rank tests, effect sizes, individual and
group-level N-Gain, flexible graphics, and exportable results.
9
Multi-Group Comparison
One-Way ANOVA & Kruskal-Wallis Analysis
Compare two or more independent groups using classical ANOVA,
Welch ANOVA, Kruskal-Wallis, multiple comparisons, post hoc tests,
effect sizes, outlier diagnostics, and flexible graphics.
10
Measurement Quality
Validity & Reliability Analysis
Evaluate Pearson and corrected item-total correlations, critical
r values, Cronbach's alpha, alpha if item deleted, inter-item
correlations, reverse-coded items, warnings, and diagnostics.
Click an application icon or the Open Application button
to launch the corresponding STATCAL ONLINE statistical tool.
Statistical Analysis for Research & Learning
Designed for Practical Statistical Workflows
STATCAL ONLINE Statistical Methods focuses on helping users analyze,
diagnose, interpret, and communicate quantitative evidence through
focused browser-based applications.
Research
Analyze data for theses, dissertations, journal manuscripts,
institutional research, and professional studies.
Teaching
Demonstrate statistical methods, model assumptions, diagnostics,
and interpretation through interactive applications.
Diagnostics
Examine model assumptions, outliers, homogeneity, normality,
effect sizes, reliability, and other analytical evidence.
Reporting
Export statistical tables, figures, and diagnostic outputs for
academic and professional reporting.