Wellbeing of Postgraduate Students – Statistics Assignment Help

Assignment Task

Introduction
Postgraduate university students in Australia are a group whose wellbeing has been less researched. This may be due to the assumption that they have been academically successful during their tertiary education, often have work experience after their postgraduatestudies and have a sense of purpose. However, in recent years there have been reports of poor mental health among postgraduate students due to increased levels of stress, combining study with part-time or full-time time work, and uncertainty about future employment prospects in a rapidly changing environment.
This study aims to measure wellbeing in postgraduate students at the Harold Holt University (HHU), a large public university in Sydney, Australia. Postgraduate enrolments at HHU totalled 25,071 in 2020. This paper presents measurements of wellbeing among postgraduate students at HHU and analyses the sociodemographic factors that are correlated with wellbeing.

Methods
Sampling and Recruitment
The target population were all postgraduate students enrolled at Harold Holt University in the year 2020. Students meeting the inclusion criteria could volunteer to participate in the study, which involved completing a 20-minute confidential survey. The study was promoted via targeted emails,social media and by teaching staff in face-to-face and online classes. An email with the survey link was sent to 24,089 postgraduate students who were enrolled in September 2020 (two weeks after the university census date for Semester 2). The survey was also promoted via the University’s Facebook page and Twitter account, and on digital screens around the campus. All Faculty Deans were asked to request that teaching staff mentioned the survey to all their students in face to face or online teaching during the month of September 2020 to encourage participation.

Instruments
The instrument for measuring wellbeing and sociodemographic factors was a confidential, cross-sectional online survey. The sociodemographic information collected included: age, gender, country of birth, migration/visa status, living situation, postcode of residence (from which distance away from campus was calculated), main source of financial support, faculty, and consecutiveness of their degree.