Springer, 2020. — 206 p. — ISBN: 9811391319.
This book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour.
Getting Started: What, Where, Why
Conducting Research with Children and Students
Data Types and Samples
Data Preparation
Analysis: Difference Between Groups
Analysis: Correlation
Analysis: Regression
Write Up and Research Translation
Conclusion and Further Reading