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Accessing Individual Students Academic Performance Using Random Effect Analysis(Multilevel Analysis)

Communications in Mathematics and Statistics 2016年第3期4卷 341-357页

作者： Ekow Ewusi Amissah nana kena frempong Emmanuel DeGraft Johnson Owusu-Ansah Institute of Statistical Social and Economic Research(ISSER) University of GhanaLegonGhana Department of Mathematics Kwame Nkrumah University of Science and Technology(KNUST)KumasiGhana

Sometimes,people with interest in measuring quality of education take intoaccountlevel in academic performance and various associated ***,an aver-age academic performance is an accustomed way of assessment;however,this studyexamines on individual basis different factors that might have an impact on the acad-emic performance of undergraduate *** on the semester weighted averageof class of 2012 mathematics students were acquired from the Quality Assurance andPlanning Unit and the Examination Office of the Department of Mathematics,KwameNkrumah University of Science and *** main factors considered for thisresearch were entry age,gender,entry aggregate,Ghana education service gradedlevel of senior high school attended and geographical *** statistical methodconsidered was random *** the interaction or variation around the slope washighly insignificant,the random intercept model was the better alternative ahead ofthe random intercept and slope ***,not all the parameter estimatesare significant at a=0.05 level of *** was observed that the differencein geographical location was not significant in the main effect *** where astudent comes from has no influence on their academic ***,entryaggregate,entry age and gender were all ***,the geographical location with regard to the Northern Belt was significant in the linear trend with astandard deviation of approximately 0.712.

关键词： Random effect Random intercept model Random intercept and slopemodel Standard deviation SWA Estimate

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