Does joining social media groups help to reduce students' dropout within the first university year?. (February 2021)

• Record Type: Journal Article
• Authors: Masserini, Lucio; Bini, Matilde
• Is Part Of: Socio-economic planning sciences. Number 73(2021)
• Publication Date: 2021-02
• Subjects: First year students' dropout -- Selection bias -- Propensity score matching -- Social networks -- Average treatment effect; Planning -- Periodicals; Economic policy -- Periodicals; Social policy -- Periodicals; Planification -- Périodiques; Politique économique -- Périodiques; Politique sociale -- Périodiques; ECONOMIC PLANNING; SOCIAL PLANNING; DECISION-MAKING; 361
• DOI: 10.1016/j.seps.2020.100865
• Languages: English
• ISSNs: 0038-0121

Abstract

Abstract: Using observational data, the aim of our study paper was to investigate whether university students' dropout within the first year is influenced by participation in social media groups such as Facebook pages created and run by other students. Specifically, in this paper such participation is considered as a treatment and represents a means to help promote and strengthen social relationships amongst students but also to help share information on courses and other material useful for studying and preparing for exams. For this purpose, data from a sample survey of students enrolled in a major Italian university were used. Given a non-random treatment assignment, analysis was carried out using propensity score matching (PSM) in order to correct for selection bias due to a set of observable pretreatment covariates. Several matching techniques and sensitivity analyses suggested that the results were robust for estimating an average treatment effect on the treated group. The estimated effect indicated that participation in social media groups is effective for lowering the dropout rate. Highlights: This research investigates whether university dropout in the first year is affected by participation in Facebook groups created by students. Data from a sample survey of students enrolled in a major Italian university were used. Analysis was carried out using propensity score matching (PSM). To correct for selection bias due to a set of observable pretreatment covariates. The estimated effect indicated that participation in social media groups is effective for lowering the dropout rate.