Communication channels and knowledge on education insurance: a case study of students at School of Statistics and Planning, Makerere University
Amule, Fassie Marion
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The study examines how communication channels influence knowledge on education insurance among students at SSP, Makerere University. The study adopted a cross sectional survey design. A physical questionnaire and google form questionnaire were designed and used in obtaining the data and analyzed in Stata SE using binary logistic regression. 150 students participated in the study with females (44%) and males (56%). According to the results obtained, most of the students were not knowledgeable on education insurance (74.67%) and (25.33%) were knowledgeable. The analysis further showed that communication channels which included Phone call (0.009), Text (0.004), Television (0.001), Radio (0.005), Noticeboards (0.002), WhatsApp (0.022), Billboards (0.000), Public transport (0.012), Websites (0.011), Email (0.001) and Videos (0.006) all had p-values<0.05 that explained some variation with knowledge on education insurance and are considered significant. A student in Year Two is 4.99 (p=0.03, CI=1.16-2.44) times more likely to be knowledgeable as compared to a student in Year One and as well a student who does BSc Business Statistics is also 0.09(p=0.01, CI=0.02-0.59) times less likely to be knowledgeable as compared to a BSc Actuarial Science student. The likelihood of a student that receives information on education insurance to be knowledgeable through WhatsApp are 3.81 (p=0.02, CI=1.23-11.79) times higher than a student who has not seen any information through WhatsApp. The likelihood of a student that receives information on education insurance to be knowledgeable through Billboards are 5.84 (p=0.00, CI=1.80-18.97) times more likely to be knowledgeable on education insurance as compared to a student who has not seen any information on community billboards. Further, the likelihood of a student that receives information on education insurance to be knowledgeable through email are 11.75 (p=0.00, CI=2.63-52.37) times more likely to be knowledgeable as compared to a student who has not received information on education insurance through email. In conclusion, there is still need for the insurance companies to reach out to the population in order to create awareness on education insurance and how it works. A starting point can be from the research findings that showed variables with p-values namely Year (0.03), Course (0.01), billboards (0.00), WhatsApp (0.02), Email (0.00) were significant to the study. Thus, these variables can be used as focus points by insurance companies to create awareness and knowledge to the population to disseminate information on education insurance.