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OverviewThis 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. Full Product DetailsAuthor: Saiyidi Mat Roni , Margaret Kristin Merga , Julia Elizabeth MorrisPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 1st ed. 2020 Weight: 0.561kg ISBN: 9789811391316ISBN 10: 9811391319 Pages: 201 Publication Date: 24 August 2019 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationDr 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. Tab Content 6Author Website:Countries AvailableAll regions |