Artificial Intelligence in the Analysis of Educational Research Quantitative Data

Reliability of Data Analyst GPT (ChatGPT) compared to SPSS and JAMOVI

Abstract

The integration of Artificial Intelligence (AI) into the educational and research landscape marks a transformative era, offering unparalleled opportunities for enhancing the way earn and conduct research. This article explores the potential of the AI-based language model, Data Analyst GPT, developed by OpenAI, as a reliable tool for conducting quantitative data analysis. The methodology involved employing Data Analyst GPT and two standard statistical software packages, SPSS and JAMOVI, to conduct an end-to-end statistical analysis on a typical educational data set, covering several standard statistical tests such as normality, correlation analysis (Pearson's and Spearman's), Categorical Variables Analysis, and mean comparison tests (Test t, ANOVA, Tukey, Mann-Whitney U and Kruskal-Wallis), and their results were compared. The results demonstrate a consistency comparable to that of standard statistical software.