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Conducting quantitative research in ...
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Mat Roni, Saiyidi.
Conducting quantitative research in education
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Conducting quantitative research in educationby Saiyidi Mat Roni, Margaret Kristin Merga, Julia Elizabeth Morris.
作者:
Mat Roni, Saiyidi.
其他作者:
Merga, Margaret Kristin.
出版者:
Singapore :Springer Singapore :2020.
面頁冊數:
viii, 201 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
EducationResearch
電子資源:
https://doi.org/10.1007/978-981-13-9132-3
ISBN:
9789811391323$q(electronic bk.)
Conducting quantitative research in education
Mat Roni, Saiyidi.
Conducting quantitative research in education
[electronic resource] /by Saiyidi Mat Roni, Margaret Kristin Merga, Julia Elizabeth Morris. - Singapore :Springer Singapore :2020. - viii, 201 p. :ill. (some col.), digital ;24 cm.
Chapter1 Introduction -- Chapter2 Getting started: What, where, why -- Chapter3 Conducting research with children and students -- Chapter4 Data types and samples -- Chapter5 Data preparation -- Chapter6 Analysis: Difference between groups -- Chapter7 Analysis: Correlation -- Chapter8 Analysis: Regression -- Chapter9 Write up and research translation -- Chapter10 Conclusion and further reading.
This book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour.
ISBN: 9789811391323$q(electronic bk.)
Standard No.: 10.1007/978-981-13-9132-3doiSubjects--Topical Terms:
264735
Education
--Research
LC Class. No.: LB1028
Dewey Class. No.: 658.3124
Conducting quantitative research in education
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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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