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Factors affecting student dropout and graduation rates at UKZN. Michael Murray, Delia North & Temesgen Zewotir University of KwaZuluNatal. Good research is not so much about giving the right answers, but rather about asking the right questions. Outline of talk.
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Factors affecting student dropout and graduation rates at UKZN Michael Murray, Delia North & TemesgenZewotir University of KwaZuluNatal Good research is not so much about giving the right answers, but rather about asking the right questions
Outline of talk • Define the response variables that are of interest • Link these response variables to a set of student based covariates • Science Faculty • Faculty of Humanities, Development and Social Sciences • Faculty of Education
The Data Set • Yes/No response to 4 possible outcomes:- Eventually graduated, academic exclusion, voluntary dropout, still studying • Time to event:- Number of credits failed along the way [1 credit point=10 notional hours of study] • Covariates:- Indicator variables for being Male, White, Indian, African, Receiving financial aid, Staying in residence Number of Matric points English and Mathsmatric mark
Questions • What probability can we attach to an Indian female with a total matric point score of 36 points eventually graduating?----- Yes/No response=>multinomial or logistic regression • How many extra credit points will she need to take in order to eventually graduate? ------time to event study =>competing risks model
Time to event study P(T>t|x) Still studying Graduated Hazard rate
Eventual graduationP(T≤t|Matric Score) Lower MPC value survives longer => higher MPC value produces a `quicker’ time to eventual graduation
Competing risks analysis CIF P(T≤t,C=1) Eventual graduation hazard Academic exclusion P(T≤t,C=2) Still studying hazard hazard Voluntary dropout P(T≤t,C=3)
Academic exclusion P(T≤t,C=2|Matric Score=x) Higher MPC value survives longer => lower MPC value produces a quicker academic exclusion time
Voluntary dropout P(T≤t,C=3|Matric Score=x) Higher MPC value survives longer => lower MPC value produces a quicker voluntary dropout time
Conclusions The following variables have SHR’s greater than one which imply that they increase the probability of eventual graduation before a fixed `time’ point t:- White, Matric points, Financial aid The following variables decrease the probability of eventual graduation before this fixed `time’ point t :- Male, Matric English, MatricMaths
Conclusions For fixed t the following variables increase the probability of academic exclusion before this fixed `time’ point t:- Male, Residence decrease the value of the above CIF:- White, Matric English, MatricMaths, Matric points, Financial aid
Conclusions For fixed t the following variables increase the probability of voluntary dropout before this fixed `time’ point t:- Male decrease the value of the above CIF:- Matric points, Financial aid, Residence