Manual and Statistical analysis software packages techniques of quantitative data analysis in educational research: A comparative study

This study aimed to compare manual and software-based techniques for analyzing quantitative data in educational research. Specifically, it investigated whether using Chi-Square, paired sample t-tests, one-way ANOVA, and Pearson correlation would yield different results when analyzed manually versus using Statistical Package for the Social Sciences (SPSS) version 20. A comparative research design was employed, and datasets generated by the researcher were analyzed through both methods. Findings showed that both manual and SPSS analyses produced identical statistical results. However, the statistical analysis software method proved to be significantly faster than manual data analysis. Manual analysis offers greater flexibility and potentially deeper understanding; it is more time-consuming and susceptible to human error. In contrast, statistical software provides quicker and more accurate results and could handle complex computations, though it requires technical knowledge and may involve time to understand the syntax’s when using and also may involve installation costs. The study concluded that both manual and statistical software-based techniques are accurate, but statistical methods offer greater efficiency. Researchers are encouraged to use either method for key statistical tests such as the t-test, Chi-Square, ANOVA, and Pearson correlation, depending on context and resources. Additionally, learning manual techniques may strengthen a researcher's understanding of statistical concepts and improve interpretation skills.