scholarly journals Identifying Distinct Patterns of Social Media Usage During the Transition into College as Predictors of First-Year Alcohol Use and Consequences: A Latent Profile Analysis

2022 ◽  
Author(s):  
Bradley Trager ◽  
Reed M Morgan ◽  
Sarah C Boyle ◽  
Francisco Montiel Ishino ◽  
Joseph LaBrie
Keyword(s):  
Social Media ◽  
Alcohol Use ◽  
College Transition ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
First Year ◽  
Risky Drinking ◽  
User Behaviors ◽  
Low Alcohol ◽  
Latent Profile

Social media (SM) users are a combination of several behaviors across platforms. Patterns of SM use across platforms may be a better indicator of risky drinking than individual behaviors or sets of behaviors examined previously. This longitudinal study addressed this gap in the literature using latent profile analysis (LPA) to identify subpopulations of SM users during the college transition (N=319). Indicators included in the LPA were general SM (checking, time spent, and posting to Instagram/Facebook/Snapchat; Finstagram ownership) and alcohol-related posting (alcohol, partying, and marijuana content) behaviors. LPA results revealed three SM user subpopulations at baseline: low general use with low alcohol-related posting (LGU+LAP), and high general use with low alcohol-related posting (HGU+LAP) or high alcohol-related posting (HGU+HAP). Baseline drinking, injunctive norms, and alcohol beliefs were associated with greater odds of HGU+HAP membership. Prospective analyses revealed that HGU+HAP was associated with greater alcohol use and consequences relative to HGU+LAP and LGU+LAP. Results suggest that there are distinct patterns of SM use during the college transition associated with risky drinking that can inform interventions combating SM-related alcohol risks. These findings also illustrate the importance of analyzing multiple SM user behaviors across multiple platforms simultaneously in future studies.

Latent Profile Analysis of Alcohol Consumption and Sexual Attitudes Among College Women: Associations With Sexual Victimization Risk

2018 ◽  
Vol 24 (11) ◽  
pp. 1279-1298 ◽  
Author(s):  
Elizabeth A. Yeater ◽  
Katie Witkiewitz ◽  
Gabriela López ◽  
Ryan S. Ross ◽  
Kristen Vitek ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
High Alcohol ◽  
Victimization Risk ◽  
Alcohol Medium ◽  
Low Alcohol ◽  
Latent Profile

This study used latent profile analysis (LPA) to identify at-risk profiles of college freshman women ( n = 481) using self-reports of alcohol consumption and sociosexuality. Analyses resulted in three profiles labeled low alcohol use–low sociosexuality, high alcohol use–medium sociosexuality, and high alcohol use–high sociosexuality. Baseline victimization predicted latent profile membership. More severely victimized women were more likely to be in the high alcohol–high sociosexuality profile than the high alcohol–medium sociosexuality and low alcohol–low sociosexuality profiles. At follow-up, the high alcohol–high sociosexuality profile had higher mean levels of victimization severity, relative to those in the high alcohol–medium sociosexuality and low alcohol–low sociosexuality profiles.

scholarly journals Alcohol Use and Emerging Adult Development: a Latent Profile Analysis of Community Drinkers

2019 ◽  
Vol 17 (5) ◽  
pp. 1180-1199
Author(s):  
Joyce Y. Zhu ◽  
Abby L. Goldstein ◽  
Sean P. Mackinnon ◽  
Sherry H. Stewart
Keyword(s):  
Alcohol Use ◽  
Adult Development ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Emerging Adult ◽  
Latent Profile

scholarly journals A latent profile analysis of first-year university students’ academic expectations

2018 ◽  
Vol 35 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Alexandra M. Araújo ◽  
Cristiano Mauro Assis Gomes ◽  
Leandro S. Almeida ◽  
Jose Carlos Núñez
Keyword(s):  
Higher Education ◽  
Academic Success ◽  
Social Interaction ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Political Engagement ◽  
First Year ◽  
Academic Expectations ◽  
Social Pressures ◽  
Latent Profile

Academic expectations are an important variable in the explanation of adaptation and academic success in higher education. This paper uses latent profile analysis as a person-centered statistical approach to classify students into groups of similar types of expectations for higher education, at the beginning of the first year in university. Participants were 2,478 first-year Portuguese students. Based on the scores of seven dimensions of expectations, we identified six classes of students. Most students (84%) presented moderate levels of expectations, while 8% and 4%, respectively, reported very high and low expectations. One class represented a group of students (4%) with high expectations for the quality of education and for political engagement and citizenship and lower expectations for social interaction and attending to social pressures. Male and older students showed more positive expectations. Students from privileged family backgrounds are more likely to present higher expectations for political engagement and citizenship experiences, and lower expectations for social interaction and leisure and attending to social pressures. Keywords: latent profile analysis; person-centered; expectations; higher education; first-year students

scholarly journals First-Year Students’ Time Use in College: A Latent Profile Analysis

2018 ◽  
Vol 59 (7) ◽  
pp. 958-978 ◽  
Author(s):  
Kevin Fosnacht ◽  
Alexander C. McCormick ◽  
Rosemarie Lerma
Keyword(s):  
Time Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
First Year ◽  
First Year Students ◽  
Latent Profile

scholarly journals Religiousness and Levels of Hazardous Alcohol Use: A Latent Profile Analysis

2015 ◽  
Vol 44 (10) ◽  
pp. 1968-1983 ◽  
Author(s):  
Peter J. Jankowski ◽  
Sam A. Hardy ◽  
Byron L. Zamboanga ◽  
Lindsay S. Ham ◽  
Seth J. Schwartz ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Hazardous Alcohol Use ◽  
Hazardous Alcohol ◽  
Latent Profile

Using Latent Profile Analysis to Harness the Heterogeneity of Nonretained College Students

2016 ◽  
Vol 18 (4) ◽  
pp. 457-473
Author(s):  
Tracey N. Sulak ◽  
Jennifer Massey ◽  
David Thomson
Keyword(s):  
Large Scale ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Retention Rates ◽  
First Year ◽  
First Year Students ◽  
Private Research ◽  
Key Variables ◽  
The University ◽  
Latent Profile

Universities struggle to raise retention rates among first-year students. Traditional analyses have not only focused on large-scale issues and addressed the needs of the majority but also done little to change overall retention numbers. The current study demonstrates the benefit of using a person-centered approach to retention research. Latent profile analysis was used to examine all nonretained, first-year students ( n = 515) from the 2011 cohort at a private, research-intensive university. The larger population of nonretained first-year students appeared to contain several smaller, subpopulations, and these smaller groups differed on key variables collected by the university. The differences in the subpopulations indicate a need for greater specificity in retention programming.

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