Exploring Homesickness and Loneliness in First-Year University Students

Alec Ha, email: 0306005h@acadiau.ca
Mutong Ren; email: 0305945r@acadiau.ca

You are invited to participate in a research project examining homesickness and loneliness first year university students. You will be asked to complete two measures: one will assess your homesickness level, and one will assess your loneliness level. You will also be asked some demographic questions.

All information obtained is strictly confidential. DO NOT enter your name anywhere on the questionnaires. The only potentially identifying information associated with your responses to the questionnaire will be your age, year of study, residency status, and frequency of going home, but this information will only be used to describe the sample. The demographic information will only be presented in summary form to ensure that individual data cannot be identified. All responses will be analyzed as a group. Please note that any data sent electronically or stored online may be legally accessed by domestic or foreign authorities. All responses will be analyzed as a group and all data will be presented in summary form; no individual data will ever be presented. Only the researchers and potentially the lab instructor for the course will see the raw data. However, participants’ data may be accessed by designated employees of Acadia University as needed to fulfill their duties in managing and maintaining Acadia’s software and hardware systems. While the results of this study will be included in a paper submitted for PSYC 2023 and will be presented to other students in the PSYC 2023 course as part of a course requirement, as mentioned above, only summary statistics will ever be presented, and no individual data will ever be included in the paper or in the presentation.

This study will take approximately 5-10 minutes to complete. There are no known harms from the completion of this study. There are no direct benefits to you in terms of the research results; however, your participation will contribute to a dataset that will be used to further our understanding of the relationships that exist among these variables.

By clicking YES, I acknowledge that I have read and that I understand the above information and have been given the opportunity to ask questions and have them answered to my satisfaction.