000			01316nam a22002297a 4500
999			_c4103 _d4103
005			20221111130607.0
008			221111b ||||| |||| 00| 0 eng d
020			_a9789811391347
082			_a658.3124 _bRON
100			_aRoni, Saiyidi Mat _99307
245			_aConducting quantitative research in education
260			_bSpringer _aSwitzerland _c2020
300			_aviii, 201 p.
365			_aEURO _b89.99
520			_aAbout this book 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.
650			_aQuantitative research _95213
650			_aEducation--Research--Methodology _94495
650			_aManagement--Study and teaching _91636
700			_aMerga, Margaret K. _99942
700			_a Morris, Julia Elizabeth _99943
942			_2ddc _cBK