Upload your dataset and receive a complete statistical analysis with publication-ready figures, summary tables, and a fully written Results and Discussion section — ready for your thesis, dissertation, or journal manuscript.
ScholarForge supports descriptive statistics (frequencies, means, SD), chi-square tests, independent t-tests, paired t-tests, ANOVA, Pearson and Spearman correlation, simple and multiple linear regression, binary logistic regression, and Mann-Whitney U test. Results include test statistics, p-values, and effect sizes.
You can upload CSV files, Excel spreadsheets (.xlsx, .xls), and SPSS data files (.sav). The AI automatically detects variable names, data types, and measurement levels.
Yes. ScholarForge generates bar charts, histograms, scatter plots, box plots, pie charts, and frequency tables — all downloadable as high-resolution PNG files and editable formats suitable for journal submission.
Yes. After analysis, ScholarForge generates a complete Results section describing every statistical finding in academic language, followed by a Discussion that interprets findings in relation to existing literature.
The data analysis output is formatted according to standards accepted by NIMR Tanzania, UDSM ethics committees, and other African institutional review boards.