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Conducting Quantitative Research in Education

Autor Saiyidi Mat Roni, Margaret Kristin Merga, Julia Elizabeth Morris
en Limba Engleză Paperback – 25 aug 2020
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. 
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Specificații

ISBN-13: 9789811391347
ISBN-10: 9811391343
Pagini: 201
Ilustrații: VIII, 201 p. 142 illus., 127 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.38 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

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.



Notă biografică

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.

Textul de pe ultima copertă

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. 

Caracteristici

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