This PDF is a preview edition of AI-Supported Quantitative Data Analysis in Foreign Language Research.

It has been prepared to give readers an opportunity to explore the book’s scope, methodological approach, writing style, and selected content before accessing the complete publication.

The full book provides a practical and methodologically grounded guide to using artificial intelligence throughout the quantitative research process. Rather than presenting AI as a replacement for statistical knowledge or researcher judgment, it demonstrates how AI can support data preparation, statistical analysis, interpretation, verification, visualization, documentation, and reporting while keeping methodological responsibility with the researcher.

This preview includes selected introductory material and sample content that reflects the overall approach of the book. Readers can see how the book connects research questions, data, analytical decisions, AI-supported workflows, verification, and responsible interpretation within the context of foreign language research.

The complete book covers a wide range of topics, including data-file preparation, variable transformation, descriptive analysis, reliability, exploratory factor analysis, regression, correlation, t-tests, analysis of variance, repeated-measures designs, nonparametric procedures, and data visualization.

A central principle throughout the book is that AI should support, rather than replace, methodological reasoning. Researchers remain responsible for selecting appropriate procedures, evaluating analytical evidence, verifying results, and determining what conclusions the data can reasonably support.

Format: PDF Preview

Language: English

Edition: First Edition, 2026