Conducting Quantitative Research in Education / by Saiyidi Mat Roni, Margaret Kristin Merga, Julia Elizabeth Morris
Por: Mat Roni, Saiyidi, author. .
Colaborador(es): Merga, Margaret Kristin, author. | Morris, Julia Elizabeth, author. .
Tipo de material:
E-bookEditor: Singapore : Springer Singapore Imprint: Springer, 2020Edición: 1st ed. 2020.Descripción: 1 online resource (viii, 201 pages) : illustrations.ISBN: 9811391327.Tema: ManagementStudy and teaching | Datos masivos | Statistics | Management Education | Big Data/Analytics | Statistics for Social Sciences, Humanities, LawClasificación CDD: 370.72 Recursos en línea: Acceso a este recurso digital (usuarios Universidad Europea de Valencia)
| Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Valencia Digital Acceso Electrónico (UEV) | Ciencias Sociales | LB1028 .R66 2020 EB (Navegar estantería(Abre debajo)) | Acceso electrónico |
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Includes bibliographical references and index
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
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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