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Conducting Quantitative Research in Education
Overview
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.
Non-parametric Tests
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.
Importance in Educational Research
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.