National College Health Assessment (NCHA)
Check your SAIT email (that's the @edu.sait.ca one) starting Jan. 28, 2019 for the National College Health Assessment (NCHA) survey.
Your responses will help us understand the health and wellness needs of SAIT students and inform student-focused services and programming on campus.
Complete the survey for a chance to win:
- Early bird prize: $200 Market Mall/Chinook Centre gift card (complete by Feb. 10, 2019, at 11:59 pm)
- Grand prize: $400 Market Mall/Chinook Centre gift card
- Additional prizes: 20 x $25 Market Mall/Chinook Centre gift cards
The survey closes on Feb. 17, 2019, and will take about 25 mins to complete. Themes include nutrition, personal safety, alcohol use and mental health.
Participation is voluntary and confidential.
Please note: Not all students will receive the survey. A sample of emails will be chosen at random.
The National College Health Assessment (NCHA) survey is administered by the American College Health Association (ACHA) and will be delivered to a random sample of degree/certificate/diploma students at SAIT.
This is the first time SAIT will participate in the NCHA survey. Distributed every three years, the survey was first used in Canada in 2013. Forty-one schools across Canada, including 10 in Alberta, distributed the survey in 2016. All Alberta schools are working together on the questions and will be distributed at the same time in January.
ACHA administers the ACHA-NCHA web survey via the Qualtrics, LLC Research Suite product. Qualtrics is an Application Service Provider (ASP) with a Software-as-a-Service (SaaS) platform for creating, distributing and collecting data from online surveys. Qualtrics Security Statement. The ACHA and Qualtrics, LLC will use email addresses for a single ACHA-NCHA administration. The addresses will not be used for any other purpose, retained after the data collection period, nor shared with any other organizations.
To ensure confidentiality, email addresses are destroyed by ACHA before data is compiled and shared with SAIT. The raw data file will not contain any unique identifiers.