eventscribe

The eventScribe Educational Program Planner system gives you access to information on sessions, special events, and the conference venue. Take a look at hotel maps to familiarize yourself with the venue, read biographies of our plenary speakers, and download handouts and resources for your sessions.

close this panel

SUBMIT FEEDBACKfeedback icon

Please enter any improvements, suggestions, or comments for the JSM Proceedings.

Comments


close this panel
support

Technical Support


Phone: (410) 638-9239

Fax: (410) 638-6108

GoToMeeting: Meet Now!

Web: www.CadmiumCD.com

Submit Support Ticket


close this panel
‹‹ Go Back

Edward Huynh

University of Nevada, Las Vegas



‹‹ Go Back

Please enter your access key

The asset you are trying to access is locked for premium users. Please enter your access key to unlock.


Email This Presentation:

From:

To:

Subject:

Body:

←Back IconGems-Print

443 – 443 - Latent Variables, Causal Inference, Machine Learning, and Other Topics in Mental Health Statistics

An Exploratory Factor Analysis to Investigate the Impact on College Students’ Stress Levels During COVID-19

Sponsor:
Keywords: Exploratory Factor Analysis, Mental Health, Regression Analysis

Edward Huynh

University of Nevada, Las Vegas

The COVID-19 pandemic has caused significant ripples within the academic learning environment. Current research has demonstrated that it has led to elevated stress levels among college students due to the abrupt switch to online instruction. Of particular interest is the need to understand the impact of the pandemic on stress among certain sub-populations of college students. The scope of this study is to analyze perceived stress levels of college students via exploratory factor analysis on a survey study of college students collected at the University of Nevada, Las Vegas. After performing EFA on the results of the Perceived Stress Scale (PSS-10), we obtained a 2-factor model. We subsequently analyzed the factors with respect to various socio-demographic groups using stepwise linear regression and found that sex and age (p < 0.01) were significant in predicting each of the factors. We will also provide results from performing a modified group LASSO regression.

"eventScribe", the eventScribe logo, "Cadmium", and the Cadmium logo are trademarks of Cadmium LLC, and may not be copied, imitated or used, in whole or in part, without prior written permission from Cadmium. The appearance of these proceedings, customized graphics that are unique to these proceedings, and customized scripts are the service mark, trademark and/or trade dress of Cadmium and may not be copied, imitated or used, in whole or in part, without prior written notification. All other trademarks, slogans, company names or logos are the property of their respective owners. Reference to any products, services, processes or other information, by trade name, trademark, manufacturer, owner, or otherwise does not constitute or imply endorsement, sponsorship, or recommendation thereof by Cadmium.

As a user you may provide Cadmium with feedback. Any ideas or suggestions you provide through any feedback mechanisms on these proceedings may be used by Cadmium, at our sole discretion, including future modifications to the eventScribe product. You hereby grant to Cadmium and our assigns a perpetual, worldwide, fully transferable, sublicensable, irrevocable, royalty free license to use, reproduce, modify, create derivative works from, distribute, and display the feedback in any manner and for any purpose.

© 2021 Cadmium