Quantitative data analysis in foreign language teaching and research

Author: Qin Xiaqing
Publisher:
Publish Date: 2003-09-01
Features:
The Ontological Foundation of Humanistic Studies – Problem Clarification and Threshold Opening
Macro and Micro Analysis of Several Economic Issues Based on Internet Applications
Changli Wenlv Jixiao
Comparative Study of Yu Dafu and Foreign Literature
Dialect Discussion in Foreign Literature
Global Issues and Moral Education
Comparative Advantage of Agriculture
The Transformation of Key Polytechnic Universities
Quantitative Data Analysis in Foreign Language Teaching Research
Quantitative Data Analysis in Foreign Language Teaching Research is a monograph that systematically introduces the characteristics of foreign language teaching research, the fundamentals of statistical analysis, and the application of parametric and non-parametric test methods in foreign language teaching research. The book consists of three parts and fourteen chapters:
1) Foundations of Foreign Language Teaching Research, which primarily introduces the basic concepts of foreign language teaching research and statistics;
2) Preparation for Quantitative Data Analysis, which elaborates in detail with examples on how to use SPSS statistical software for data preparation, item analysis of questionnaires, and validity and reliability analysis;
3) Statistical Analysis of Quantitative Data, which discusses with examples descriptive statistical analysis methods, data inspection, hypothesis testing, and the application of parametric and non-parametric test methods in foreign language teaching research.
In addition to elaborating on the theoretical knowledge necessary for quantitative data analysis, the book’s greatest feature is its operability and strong practicality, making it highly suitable for foreign language teachers, researchers, and doctoral and master’s students. The book provides strong guidance for quantitative research design and data analysis in foreign language studies and also holds significant reference value for quantitative data analysis in other social sciences.