Conducting Quantitative Research in Education

Mat Roni, Saiyidi; Merga, Margaret Kristin; Morris, Julia Elizabeth

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. 

Details

Published by: Springer

Publication Date: 2020-08-25

Format: Paperback

ISBN-13: 9789811391347

DOI: 10.1007/978-981-13-9132-3

Dimensions: 235cm x155cm

Pages: 201