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.

Presents a practical guide on conducting quantitative research in the field of education Stresses the practical of use of non-parametric tests in quantitative research Provides educational researchers with the tools they can work with to achieve results efficiently

Autorentext

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.

Inhalt
Chapter1 Introduction.- Chapter2 Getting started: What, where, why.- Chapter3 Conducting research with children and students.- Chapter4 Data types and samples.- Chapter5 Data preparation.- Chapter6 Analysis: Difference between groups.- Chapter7 Analysis: Correlation.- Chapter8 Analysis: Regression.- Chapter9 Write up and research translation.- Chapter10 Conclusion and further reading.