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Jensen, Jessica L. King; Rashid, Mariam; Ajith, Aniruddh; Jewett, Bambi; Hacker, Kiana; Phan, Lilianna; Choi, Kelvin; Chen-Sankey, Julia – Health Education & Behavior, 2023
We examined the prevalence and correlates of anticipated responses to hypothetical cigar price increases. Data are from a 2021 representative sample of U.S. adults who reported past-30-day cigar use (n = 454; mean age = 39.8 years). Weighted multivariable logistic regressions assessed the correlates of behavior change responses. If cigar price…
Descriptors: Smoking, Costs, Adults, Behavior Change
Brinton, Amanda; Warner, Laura A.; Townsend, Timothy G. – International Journal of Sustainability in Higher Education, 2023
Purpose: This study aims to test how waste disposal behaviors can be changed such as higher recycling diversion and lower contamination rates using signage and messaging techniques at public outdoor waste receptacles on a university campus. Design/methodology/approach: The experiment took place at five public outdoor receptacle stations, each with…
Descriptors: Wastes, Sanitation, Behavior Change, Recycling
St-Onge, Christina; Boileau, Elisabeth; Langevin, Serge; Nguyen, Lily H. P.; Drescher, Olivia; Bergeron, Linda; Thomas, Aliki – Advances in Health Sciences Education, 2022
Background: The widespread implementation of longitudinal assessment (LA) to document trainees' progression to independent practice rests more on speculative rather than evidence-based benefits. We aimed to document stakeholders' knowledge of- and attitudes towards LA, and identify how the supports and barriers can help or hinder the uptake and…
Descriptors: Stakeholders, Longitudinal Studies, Behavior Change, Evaluation
Thomas J. K. Fontana; Jonathan A. Schulz; Alan J. Budney; Andrea C. Villanti – Journal of American College Health, 2025
Objective: To explore the feasibility and utility of a tolerance break (T-Break) guide on young adults' cannabis use. Participants: Young adults aged 18--29 (n = 125) who were current cannabis users. Methods: Participants recruited through posters and listservs at various universities were offered the T-Break Guide--daily activities, advice, and…
Descriptors: Guides, Marijuana, Drug Use, Young Adults
Reported Changes in Romantic and Sexual Behavior among College and Graduate Students during COVID-19
Lauren Holt; Adam Hollowell; Tracy Truong; Keisha Bentley-Edwards; Evan Myers; Alaattin Erkanli; Emily L. Chen; Jonas Swartz – Journal of American College Health, 2025
Objective: To understand changes in romantic and sexual behavior among college and graduate students in North Carolina during COVID-19. Participants: Participants were between 18-30 years old and enrolled in a two- or four-year college or graduate program in North Carolina (n = 926). Methods: A cross-sectional web-based survey was administered to…
Descriptors: Sexuality, Intimacy, College Students, COVID-19
Nivedhitha Parthasarathy; Sheryl A. McCurdy; Christine M. Markham – Journal of American College Health, 2025
Purpose: The COVID-19 pandemic mandates that were imposed to curb the spread of disease may have triggered unhealthy dietary behaviors among university students. The current study aims at exploring university students' perception of their dietary behaviors through the course of the pandemic. Methods: The qualitative study is designed using a…
Descriptors: College Students, Eating Habits, COVID-19, Pandemics
Emily E. Bernstein; Rebecca M. Shingleton; Ellen F. Finch; Nicole J. LeBlanc; Kate H. Bentley; Paul Barreira; Richard J. McNally – Journal of American College Health, 2025
Objective: This manuscript describes an evidence-based, student-led, single-session group intervention to support emotional wellbeing among graduate students. The present objective is to provide a roadmap for other universities. Participants: Key participants include clinical psychology graduate students (leader and workshop facilitators), faculty…
Descriptors: Graduate Students, Well Being, Mental Health, Evidence Based Practice
Tornike Giorgashvili; Ioana Jivet; Cordula Artelt; Daniel Biedermann; Daniel Bengs; Frank Goldhammer; Carolin Hahnel; Julia Mendzheritskaya; Julia Mordel; Monica Onofrei; Marc Winter; Ilka Wolter; Holger Horz; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate their learning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LAD design, there remains a gap in understanding how learners make sense of information visualised on LADs…
Descriptors: Field Studies, Student Reaction, Feedback (Response), Learning Analytics
John W. Maag – Beyond Behavior, 2025
Use of high-probability request sequences is a low-intensity intervention for increasing student compliance. There are several subtleties in implementing high-probability request sequences that make the process more complex. Review of supporting research raises concerns about how well the intervention translates into practice. This article…
Descriptors: Sentences, Language Usage, Compliance (Psychology), Student Behavior
Kristabel Stark; Eric Camburn; Lindsey Kaler – British Journal of Educational Psychology, 2025
Background and Aims: Drawing on self-determination theory, we investigated: How does teacher motivation vary over "time"? How does motivation vary across activity "contexts"? What is the association between teachers' motivation and affect? Sample: One hundred sixty teachers in two districts in the Northeastern United States.…
Descriptors: Teacher Motivation, Self Determination, Psychological Patterns, Affective Behavior
D. M. Green; D. A. Price; B. A. Spears – Pastoral Care in Education, 2024
Persistent bullying behavior is that which starts high and remains either moderately high or persistently high, seemingly in spite of intervention/prevention approaches employed: yet little is known about how/why persistent bullying emerges or is sustained. Those who do not respond to interventions and persist with their bullying behavior, require…
Descriptors: Bullying, Case Studies, Foreign Countries, Antisocial Behavior
Kyle M. Frost; Brooke Ingersoll – Journal of Early Intervention, 2024
Limited research has examined the active ingredients and mechanisms of change of naturalistic developmental behavioral interventions (NDBIs). The present study used an exploratory sequential mixed-methods design to develop a comprehensive Theory of Change of Project ImPACT, an empirically supported NDBI. We used qualitative data from interviews…
Descriptors: Early Intervention, Behavior Modification, Autism Spectrum Disorders, Causal Models
Stinson, Lesleigh; Dallery, Jesse – Journal of Applied Behavior Analysis, 2023
Problematic social media use can be characterized as that which interferes with relationships, work, school, or sleep. Currently, there are no empirically supported treatments for reducing problematic social media use. We tested a package intervention to reduce the daily duration of social media use measured by a smartphone application with nine…
Descriptors: Undergraduate Students, Social Media, Handheld Devices, Intervention
Alalwan, Mahmood A.; Keller-Hamilton, Brittney; Long, Lauren; Lipkus, Isaac; Wagener, Theodore L.; Mays, Darren – Health Education Research, 2023
Waterpipe tobacco smoking is a public health concern that poses many of the same health risks as cigarette smoking, especially among young adults--a subpopulation characterized by the highest prevalence of waterpipe tobacco smoking. Nevertheless, it remains understudied relative to other forms of tobacco use. We examined sociodemographic,…
Descriptors: Smoking, Health Behavior, Young Adults, Motivation
John M. Falligant; Brianna Laureano; Emily Chesbrough; Margaret M. Ruckle; Molly K. Bednar – Journal of Developmental and Physical Disabilities, 2023
Token reinforcement procedures are used to increase appropriate behavior (e.g., completion of instructional tasks) and decrease problem behavior (e.g., aggression) in a wide array of clinical contexts. Token exchange-production schedules, which specify the number of tokens that must be accrued to produce the exchange schedule, are important…
Descriptors: Behavior Problems, Reinforcement, Token Economy, Behavior Modification

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