Conducting Quantitative Research in Education / by Saiyidi Mat Roni, Margaret Kristin Merga, Julia Elizabeth Morris
Publisher | (Singapore : Springer Nature Singapore : Imprint: Springer) |
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Year | 2020 |
Edition | 1st ed. 2020. |
Authors | *Mat Roni, Saiyidi author Merga, Margaret Kristin author Morris, Julia Elizabeth author SpringerLink (Online service) |
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Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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Links to the text | Library Off-campus access |
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OB00185484 | Springer Business and Management eBooks (電子ブック) | 9789811391323 |
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Material Type | E-Book |
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Media type | 機械可読データファイル |
Size | VIII, 201 p. 142 illus., 127 illus. in color : online resource |
Notes | 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. HTTP:URL=https://doi.org/10.1007/978-981-13-9132-3 |
Subjects | LCSH:Executives—Training of LCSH:Quantitative research LCSH:Social sciences—Statistical methods FREE:Management Education FREE:Data Analysis and Big Data FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
Classification | LCC:HD30.4-.42 DC23:658.407124 |
ID | 8000065931 |
ISBN | 9789811391323 |
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