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.
Chapter1Introduction.
Chapter2Getting started: What, where, why.
Chapter3Conducting research with children and students.
Chapter4Data types and samples.
Chapter5Data preparation.
Chapter6Analysis: Difference between groups.
Chapter7Analysis: Correlation.
Chapter8 Analysis: Regression.
Chapter9Write up and research translation.
Chapter10Conclusion and further reading.
Dr Saiyidi Mat Roni is a lecturer at the School of Business and Law at Edith Cowan University, Australia.Dr Margaret Kristin Merga is a senior lecturer at the School of Education at Edith Cowan University, Australia.Dr Julia Elizabeth Morris is a senior lecturer at the School of Education at Edith Cowan University, Australia.
