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We are proficient in a wide range of statistical software, offering support for the following tools to accommodate your dissertation's specific analysis needs:
- SPSS: Ideal for managing and analyzing social science data.
- R: A powerful tool for statistical computing and graphics.
- STATA: Versatile software for data management, statistical analysis, and graphics.
- SAS: Comprehensive software for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
- JAMOVI: A user-friendly tool for basic to advanced statistical analysis, built on R.
- JMP: Specializes in dynamic data visualization and exploratory data analysis.
- MINITAB: Easy-to-use software for quality improvement and statistics education.
- MATLAB: A high-level language and interactive environment for numerical computation, visualization, and programming.
- EXCEL: we use it for basic statistical analysis and data management.
- Nvivo & MAXQDA: Qualitative data analysis software for complex data sets.
- JASP: A fresh approach to statistical analysis, emphasizing simplicity and ease of use.
- G-power: For power analysis and sample size determination.
- Graphpad-Prism: on scientific graphing, curve fitting, and biostatistics.
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