Project Title

Perceived Productivity and Mental Health Amongst Students During the COVID-19 Pandemic

Academic department under which the project should be listed

RCHSS - Psychological Science

Faculty Sponsor Name

Anisah Bagasra

Abstract (300 words maximum)

In the last few years, the mental health of college students has become a growing concern as the number of students using mental health services continues to increase. The introduction of COVID-19 at the beginning of 2020 brought this issue into even greater focus as many college students, as well as many others, are now faced with a whole new set of mental health challenges. Students are now met with new anxieties about not only their health but also about how to adjust to the worldwide shift of college classes to a predominantly online setting. Working from home adds many challenges to learning such as increased distractions and difficulty concentrating. This study aims to determine the impact of the COVID-19 pandemic on the productivity and mental health of college students through several stress, depression, anxiety and productivity scales. Data will be collected from approximately 150 students attending a large public college located in the Southeastern region of the United States. Students will be recruited through university email and club membership lists from the end of November through the 12th of February. The study will consist of an anonymous survey that includes the DASS-21, Perceived Stress Scale and a productivity scale. We expect students who are currently employed, international, classified as a freshman, or the primary caretaker of children (independent variables) to score higher on the DASS-21 and Perceived Stress Scale (dependent variables). In relation, we expect these individuals to score lower on the productivity scale as compared to their peers. These predictions are based off several studies we found regarding factors that had a significant impact on the mental health and success of college students before COVID-19. Data will be analyzed for descriptive statistics and correlations using SPSS.

Project Type

Event

This document is currently not available here.

Share

COinS
 

Perceived Productivity and Mental Health Amongst Students During the COVID-19 Pandemic

In the last few years, the mental health of college students has become a growing concern as the number of students using mental health services continues to increase. The introduction of COVID-19 at the beginning of 2020 brought this issue into even greater focus as many college students, as well as many others, are now faced with a whole new set of mental health challenges. Students are now met with new anxieties about not only their health but also about how to adjust to the worldwide shift of college classes to a predominantly online setting. Working from home adds many challenges to learning such as increased distractions and difficulty concentrating. This study aims to determine the impact of the COVID-19 pandemic on the productivity and mental health of college students through several stress, depression, anxiety and productivity scales. Data will be collected from approximately 150 students attending a large public college located in the Southeastern region of the United States. Students will be recruited through university email and club membership lists from the end of November through the 12th of February. The study will consist of an anonymous survey that includes the DASS-21, Perceived Stress Scale and a productivity scale. We expect students who are currently employed, international, classified as a freshman, or the primary caretaker of children (independent variables) to score higher on the DASS-21 and Perceived Stress Scale (dependent variables). In relation, we expect these individuals to score lower on the productivity scale as compared to their peers. These predictions are based off several studies we found regarding factors that had a significant impact on the mental health and success of college students before COVID-19. Data will be analyzed for descriptive statistics and correlations using SPSS.