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Title: Drug abuse and morals of youths, a case study of Uganda
Authors: Luyima, Lawrence
Keywords: Drug abuse
morals of youths
Issue Date: Apr-2019
Publisher: Kampala International University, College of Economics and Management
Abstract: The study aimed at investigating the relationship between drug abuse and youths morals; a case study of Uganda. It examined the level of usage of drugs by the youths, the level of drugs influence on youths morals, and the relationship between drug abuse and youths morals. The study used the descriptive research design and adapted cross sectional survey design because it was conducted across participants over a short period of time. An overall sample size was 122 participants. The study adopted cluster sampling and simple random sampling where by the researcher subdivided the study area into four clusters where by each sampling unit had an equal chance of being selected. The study used self administered questionnaires and an interview guide to collect data. To ensure consistency in the study, the researcher used reliability and validity of instruments, data was processed to ascertain the accuracy, consistency, uniformity, proper arrangement and completeness of data, the researcher used the computer for data entry, editing (cleaning), data coding (categorization), data summarization, data presentation took from frequency tables and pie charts and analyzed data using SPSS. The study discovered that the relationship between drug abuse and youths morals in Uganda was positive. The study recommended that there is need for drug abuse programs to address the causes and effects of drug abuse for the problem of drug abuse was integral to the morals of Youths.
Description: A research report submitted to the department of economics and applied statistics in the faculty of economics and management in partial fulfillment of the requirement for the award of a Bachelor’s Degree in Statistics from Kampala International University (KIU), Kansanga.
Appears in Collections:Bachelors of Science Degree in Statistics

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