TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-13-9
DO  - doi
AB  - 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.
T1  - Conducting quantitative research in education /
AU  - Mat Roni, Saiyidi,
AU  - Merga, Margaret K.,
AU  - Morris, Julia Elizabeth,
CN  - LB1028
ID  - 922483
KW  - Education
KW  - Quantitative research.
SN  - 9789811391323
SN  - 9811391327
TI  - Conducting quantitative research in education /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-9132-3
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-9132-3
ER  -