Network Sampling and Its Application to the Prevalence of Abortion among Female Students in Nigeria Tertiary Institution

Alakija, T.O *

Department of Statistics, Yaba College of Technology, Yaba, Lagos, Nigeria.

Oyeyemi, S. T

Department of Planning, Research, and Statistics, The Medical Rehabilitation Therapist (Reg.) Board of Nigeria, Federal Ministry of Health, Lagos, Nigeria.

Arowolo, O.T

Department of Mathematical Science, Lagos State University of Science and Technology, Ikorodu, Lagos, Nigeria.

Ekum, M.I

Department of Mathematics and Statistics, Lagos State University of Science and Technology, Ikorodu, Lagos, Nigeria.

Adeparusi, O.D

Department of Statistics, Yaba College of Technology, Yaba, Lagos, Nigeria.

Dairo, O

Department of Statistics, University of Lagos, Akoka, Lagos, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

This study aimed to investigate the prevalence of abortion among female students of tertiary institutions in Nigeria and its impact on the students. The network sampling technique which makes use of an initial subject to refer other subjects with similar characteristics was used as sampling method for data collection. Data was collected from 150 students using a well-structured questionnaire, and statistical analysis using the logistic regression to determine the Wald statistics and odd ratio was conducted to conclude. The chi square was also used to determine the model adequacy which shows that the model is a good fit. The study found that factors such as rape, pressure to complete education, criticism from peers, and fear of parental reaction were influencing students' decisions to undergo abortion. Additionally, the study revealed that complications and untimely deaths were among the negative consequences of abortion. The most common age bracket for students involved in abortion was 21-25 years, accounting for 48% of cases, and the estimated prevalence of students engaged in abortion was 92.7%. Based on these findings, the study suggests promoting the use of contraceptives, such as condoms, and encouraging abstinence, especially among new students. The study also recommends that parents and guardians take an active role in monitoring their children and wards.

Keywords: Binary logistic regression, chi square, network sampling, odd ratio, wald statistics


How to Cite

T.O, Alakija, Oyeyemi, S. T, Arowolo, O.T, Ekum, M.I, Adeparusi, O.D, and Dairo, O. 2024. “Network Sampling and Its Application to the Prevalence of Abortion Among Female Students in Nigeria Tertiary Institution”. Asian Journal of Probability and Statistics 26 (11):9-20. https://doi.org/10.9734/ajpas/2024/v26i11668.