000922483 000__ 02713cam\a2200445Ii\4500 000922483 001__ 922483 000922483 005__ 20230306150837.0 000922483 006__ m\\\\\o\\d\\\\\\\\ 000922483 007__ cr\nn\nnnunnun 000922483 008__ 190902s2020\\\\si\a\\\\ob\\\\000\0\eng\d 000922483 019__ $$a1117703025$$a1119643590$$a1120116344$$a1120984788$$a1121274631 000922483 020__ $$a9789811391323$$q(electronic book) 000922483 020__ $$a9811391327$$q(electronic book) 000922483 0247_ $$a10.1007/978-981-13-9$$2doi 000922483 035__ $$aSP(OCoLC)on1117295594 000922483 035__ $$aSP(OCoLC)1117295594$$z(OCoLC)1117703025$$z(OCoLC)1119643590$$z(OCoLC)1120116344$$z(OCoLC)1120984788$$z(OCoLC)1121274631 000922483 040__ $$aLQU$$beng$$erda$$cLQU$$dGW5XE$$dUKMGB$$dN$T$$dOCLCF 000922483 049__ $$aISEA 000922483 050_4 $$aLB1028 000922483 08204 $$a658.3124 000922483 1001_ $$aMat Roni, Saiyidi,$$eauthor. 000922483 24510 $$aConducting quantitative research in education /$$cSaiyidi Mat Roni, Margaret Kristin Merga, Julia Elizabeth Morris . 000922483 264_1 $$aSingapore :$$bSpringer,$$c[2020] 000922483 300__ $$a1 online resource (viii, 201 pages) :$$billustrations. 000922483 336__ $$atext$$btxt$$2rdacontent 000922483 337__ $$acomputer$$bc$$2rdamedia 000922483 338__ $$aonline resource$$bcr$$2rdacarrier 000922483 504__ $$aIncludes bibliographical references. 000922483 5050_ $$aChapter1 Introduction -- Chapter2 Getting started: What, where, why -- Chapter3 Conducting research with children and students -- Chapter4 Data types and samples -- Chapter5 Data preparation -- Chapter6 Analysis: Difference between groups -- Chapter7 Analysis: Correlation -- Chapter8 Analysis: Regression -- Chapter9 Write up and research translation -- Chapter10 Conclusion and further reading. 000922483 506__ $$aAccess limited to authorized users. 000922483 520__ $$aThis book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour. 000922483 588__ $$aDescription based on print version record. 000922483 650_0 $$aEducation$$xResearch$$xMethodology. 000922483 650_0 $$aQuantitative research. 000922483 7001_ $$aMerga, Margaret K.,$$eauthor. 000922483 7001_ $$aMorris, Julia Elizabeth,$$eauthor. 000922483 852__ $$bebk 000922483 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-9132-3$$zOnline Access$$91397441.1 000922483 909CO $$ooai:library.usi.edu:922483$$pGLOBAL_SET 000922483 980__ $$aEBOOK 000922483 980__ $$aBIB 000922483 982__ $$aEbook 000922483 983__ $$aOnline 000922483 994__ $$a92$$bISE