Behavioral self-regulation among children with hyperactivity and inattention in the first year of school: A population-based latent profile analysis and links with later ADHD diagnosis.

2021 ◽  
Author(s):  
Helena Granziera ◽  
Rebecca J. Collie ◽  
Andrew J. Martin ◽  
Natasha Nassar
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Self Regulation ◽  
Population Based ◽  
First Year ◽  
Adhd Diagnosis ◽  
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 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.

scholarly journals Profiles of Parents’ Beliefs About Their Child’s Intelligence and Self-Regulation: A Latent Profile Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Maren Stern ◽  
Silke Hertel
Keyword(s):  
Goal Orientation ◽  
Online Survey ◽  
Latent Profile Analysis ◽  
Implicit Theories ◽  
Profile Analysis ◽  
Self Regulation ◽  
Learning Goals ◽  
Regulatory Strategies ◽  
Approach Goals ◽  
Latent Profile

This study examined parents’ implicit theories of intelligence and self-regulation from a person-centered perspective using latent profile analysis. First, we explored whether different belief profiles exist. Second, we examined if the emergent belief profiles (1) differ by demographic variables (e.g., age, education, child’s self-regulation) and (2) are related to parents’ failure beliefs, goal orientation (i.e., learning goals, performance-approach goals, performance-avoidance goals), and co-regulatory strategies (i.e., mastery-oriented and helpless-oriented strategies). Data were collected from N = 137 parents of preschoolers who answered an online survey comprising their implicit theories about the malleability and relevance of the domains (a) intelligence and (b) self-regulation. We identified three belief profiles: profile 1 (9% of the sample) displayed an entity theory, profile 2 (61% of the sample) showed a balanced pattern of both domains of implicit theories, and profile 3 (30% of the sample) was characterized by high incremental self-regulation theories. Analyses showed that parents differed significantly in education and their perception of child self-regulatory competence depending on profile membership, with parents in profile 1 having the lowest scores compared to parents of the other profiles. Differences in parents’ failure beliefs, goal orientation, and co-regulatory strategies were also found depending on profile membership. Parents in profile 3 reported failure-is-enhancing mindsets, and mastery-oriented strategies significantly more often than parents in profiles 1 and 2. The results provide new insights into the interplay of important domains of implicit theories, and their associations with parents’ failure beliefs, goal orientation, and co-regulatory strategies.

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

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.

scholarly journals Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis

2021 ◽  
Author(s):  
Cafer Bakaç ◽  
Jetmir Zyberaj ◽  
James C. Barela
Keyword(s):  
Job Satisfaction ◽  
Work Engagement ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Self Regulation ◽  
Personality Characteristics ◽  
The Other ◽  
Job Outcomes ◽  
Work Related ◽  
Latent Profile

AbstractIn this two-study research using latent profile analysis (LPA), we investigated intra-individual combinations of conscientiousness, autonomy, self-regulation, and extraversion. Based on these combinations, we designed profiles and explored telecommuting preferences and job outcomes of employees during the COVID-19 pandemic. In Study 1, we recruited 199 participants (77 females, ages ranging from 18 to 65). Results of this study revealed three profiles. One profile scored high on all of the variables and displayed preferences for working on-site more than the other profiles. Additionally, this profile showed higher work engagement, job satisfaction, and perceived productivity than the other two profiles. To validate these findings, we conducted a second study with a sample of 492 participants (169 females; age ranged from 18 to 65). The results yielded five profiles, one scoring high on all of the variables. Similar to Study 1, this profile exhibited higher work engagement, job satisfaction, and perceived productivity than the other four profiles. Individuals in this profile preferred to work on-site compared to individuals in other profiles. Our findings add to the research demonstrating the importance of personality characteristics for telecommuting preferences and work-related outcomes.

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