scholarly journals Patterns of high-intensity drinking among young adults in the United States: A repeated measures latent class analysis

2017 ◽  
Vol 74 ◽  
pp. 134-139 ◽  
Author(s):  
Megan E. Patrick ◽  
Yvonne M. Terry-McElrath ◽  
John E. Schulenberg ◽  
Bethany C. Bray
Keyword(s):  
United States ◽  
Young Adults ◽  
Latent Class Analysis ◽  
High Intensity ◽  
Repeated Measures ◽  
Latent Class ◽  
The United States ◽  
Class Analysis

Identifying Syndemics for Sexually Transmitted Infections Among Young Adults in the United States: A Latent Class Analysis

2019 ◽  
Vol 64 (3) ◽  
pp. 319-326 ◽  
Author(s):  
Ashley V. Hill ◽  
Natacha M. De Genna ◽  
Maria J. Perez-Patron ◽  
Tamika D. Gilreath ◽  
Carmen Tekwe ◽  
...  
Keyword(s):  
United States ◽  
Young Adults ◽  
Latent Class Analysis ◽  
Sexually Transmitted Infections ◽  
Latent Class ◽  
The United States ◽  
Class Analysis ◽  
Sexually Transmitted

A national study of the availability of law enforcement agency wellness programming for officers: A latent class analysis

2021 ◽  
pp. 146135572110640
Author(s):  
Bruce G Taylor ◽  
Weiwei Liu ◽  
Elizabeth A. Mumford
Keyword(s):  
Mental Health ◽  
United States ◽  
Substance Use ◽  
Law Enforcement ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Wellness Programs ◽  
The United States ◽  
Substance Use Treatment ◽  
Class Analysis

The purpose of this study is to understand the availability of employee wellness programs within law enforcement agencies (LEAs) across the United States, including physical fitness, resilience/wellness, coping skills, nutrition, mental health treatment, and substance use treatment. The research team investigated whether patterns of LEA wellness programming are identifiable and, if so, what characteristics describe these patterns. We assess using latent class analysis whether there are distinct profiles of agencies with similar patterns offering different types of wellness programs and explore what characteristics distinguish agencies with certain profiles of wellness programming. Data were from a nationally representative sample of 1135 LEAs: 80.1% municipal, 18.6% county and 1.3% other agencies (state-level and Bureau of Indian Affairs LEAs). We found that many agencies (62%) offer no wellness programming. We also found that 23% have comprehensive wellness programming, and that another group of agencies specialize in specific wellness programming. About 14% of the agencies have a high probability of providing resilience coping skill education, mental health and/or substance use treatment services programming. About 1% of the agencies in the United States limit their programming to fitness and nutrition, indicating that fitness and nutrition programs are more likely to be offered in concert with other types of wellness programs. The analyses revealed that agencies offering broad program support are more likely to be large, municipal LEAs located in either the West, Midwest or Northeast (compared with the southern United States), and not experiencing a recent budget cut that impacted wellness programming.

Predominant typologies of psychopathology in the United States: A latent class analysis

2013 ◽  
Vol 47 (11) ◽  
pp. 1649-1657 ◽  
Author(s):  
Renée El-Gabalawy ◽  
Jack Tsai ◽  
Ilan Harpaz-Rotem ◽  
Rani Hoff ◽  
Jitender Sareen ◽  
...  
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Latent Class ◽  
The United States ◽  
Class Analysis

Stressful Life Event Experiences of Pregnant Women in the United States: A Latent Class Analysis

2017 ◽  
Vol 27 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Soumyadeep Mukherjee ◽  
Stefany Coxe ◽  
Kristopher Fennie ◽  
Purnima Madhivanan ◽  
Mary Jo Trepka
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Pregnant Women ◽  
Latent Class ◽  
Stressful Life Event ◽  
The United States ◽  
Stressful Life ◽  
Class Analysis ◽  
Life Event

scholarly journals Health Beliefs and Preventive Behaviors Among Adults During the Early COVID-19 Pandemic in the United States: a Latent Class Analysis

2021 ◽  
Author(s):  
Emily Smail ◽  
Kristin E. Schneider ◽  
Stephanie M. DeLong ◽  
Kalai Willis ◽  
Renata Arrington-Sanders ◽  
...  
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Health Beliefs ◽  
Latent Class ◽  
The United States ◽  
Class Analysis ◽  
Preventive Behaviors

scholarly journals Latent Class Analysis of Students’ Science Motivation: A Comparison Between the United States and China

2020 ◽  
Vol 8 (2) ◽  
pp. 97
Author(s):  
Wenjuan Sang ◽  
Adam Maltese
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Family Background ◽  
Multinomial Logistic Regression ◽  
The United States ◽  
Linear Increase ◽  
Learning Science ◽  
Class Analysis ◽  
Science Motivation

Using latent class analysis (LCA), we examine the potential ways of classifying students’ science motivation in the United States and China using data from PISA 2015. Based on a set of nine observed variables of science motivation, we identify three subgroups of cases varied in their internal patterns of motivation, covering, respectively, 24.78%, 12.85%, and 62.37% of the entire sample size. Instead of classifying students into groups with a linear increase in motivation scores, latent class analysis shows that there are students who feel pure enjoyment in learning science but do not associate science with their future careers (Class 1), students who do not like learning science but believe science is important to their future (Class 2), and students who have both high enjoyment and the prospect of doing science for a living in the future (Class 3). Multinomial logistic regression reveals that science motivation groups are significantly affected by gender, nationality, and family background.

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