Major
Psychology
Anticipated Graduation Year
2026
Access Type
Open Access
Abstract
Mobile technology-delivered interventions (mTDIs) are effective for improving psychological symptoms in adolescents and young adults. However, little is known about what factors predict these benefits from mTDIs. Using data from an RCT that demonstrated the benefits of the app Headspace, the present study examines the extent to which participants’ language during an exit interview, analyzed using Linguistic Inquiry and Word Count, predicts quantitative wellbeing outcomes. Expected results are that linguistic variables will predict the extent to which a student experiences prolonged benefits from the intervention. These results would bring greater insight into how linguistic factors predict psychological outcomes in mTDIs.
Faculty Mentors & Instructors
Colleen Conley, Professor, Psychology; Kirby Knapp, Psychology
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
How Language at Post-Intervention Predicts Psychological Outcomes: An Exploratory Analysis of Language Trends Using LIWC-22
Mobile technology-delivered interventions (mTDIs) are effective for improving psychological symptoms in adolescents and young adults. However, little is known about what factors predict these benefits from mTDIs. Using data from an RCT that demonstrated the benefits of the app Headspace, the present study examines the extent to which participants’ language during an exit interview, analyzed using Linguistic Inquiry and Word Count, predicts quantitative wellbeing outcomes. Expected results are that linguistic variables will predict the extent to which a student experiences prolonged benefits from the intervention. These results would bring greater insight into how linguistic factors predict psychological outcomes in mTDIs.