Application of Latent Class Growth Model to Longitudinal Analysis of Traffic Crashes

AbstractIt has long been argued that mood fluctuation patterns in Antarctic expeditioners are largely homogeneous. This research investigated mood fluctuation patterns throughout all the stages of Antarctic deployment using latent class growth analysis. Utilising advanced statistical methods, such as latent class growth analysis, can greatly help in identifying if mood fluctuation patterns experienced by Antarctic expeditioners are homogenous, and provide insight into mood fluctuation patterns, which was not possible with traditional group-based quantitative methods. Gaining a greater insight into mood fluctuation patterns in Antarctic expeditioners can assist with the development, and implementation of, strategies to assist with expeditioner well-being. The analysis was conducted on 423 expeditioner from the Australian Antarctic program between the 2005-2009 Antarctic deployment seasons. The results supported the notion that mood fluctuation patterns in expeditioners within the Australian-Antarctic programme were largely homogeneous, as a 1-class cubic latent class growth model was identified as being the optimal fit for the dataset. Theoretical and practical implications are discussed in relation to research and prevention and intervention strategies.

Download Full-text

A Longitudinal Analysis of Alcohol Use Behavior among Korean Adults and Related Factors: A Latent Class Growth Model

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18168797 ◽

2021 ◽

Vol 18 (16) ◽

pp. 8797

Author(s):

Suyon Baek ◽

Eun-Hi Choi

Keyword(s):

Alcohol Use ◽

Longitudinal Analysis ◽

Family Relationships ◽

Latent Class ◽

Growth Mixture Modeling ◽

Self Esteem ◽

Related Factors ◽

Korean Adults ◽

Use Behavior ◽

Latent Class Growth

This study classified the changes in alcohol use behavior among Korean adults and explored the related factors. The study used data from the 4th (2009) to 14th (2019) waves of the Korean Welfare Panel Study. The subjects were 8267 adults aged 19–60 years. Latent class growth analysis was used to classify the latent classes of alcohol use behavior among Korean adults, and logistic regression analysis was performed to identify the specific factors that form the classes. Additionally, the 11-year trajectories of major variables associated with alcohol use behavior for the derived classes were analyzed using growth mixture modeling. Four classes were identified according to the trajectories of alcohol use behavior. There were statistically significant differences in the trajectories of depression, self-esteem, satisfaction in family relationships, and satisfaction in leisure activities according to the class of alcohol use behavior. In particular, self-esteem and satisfaction in family relationships indicated distinctly decreasing trajectories in the low- to moderate-risk class, which suggested the need for longitudinal analysis of the factors that influence alcohol use behavior. Moreover, it is recommended that interventions for the prevention of high-risk drinking target not only individuals but also family units.

Download Full-text

Preschool Intervention Can Promote Sustained Growth in the Executive-Function Skills of Children Exhibiting Early Deficits

Psychological Science ◽

10.1177/0956797617711640 ◽

2017 ◽

Vol 28 (12) ◽

pp. 1719-1730 ◽

Cited By ~ 26

Author(s):

Tyler R. Sasser ◽

Karen L. Bierman ◽

Brenda Heinrichs ◽

Robert L. Nix

Keyword(s):

Executive Function ◽

Head Start ◽

Latent Class ◽

Intervention Group ◽

Third Grade ◽

Control Group ◽

Social Emotional ◽

Usual Practice ◽

Preschool Intervention ◽

Latent Class Growth

This study examined the effects of the Head Start Research-Based, Developmentally Informed (REDI) preschool intervention on growth in children’s executive-function (EF) skills from preschool through third grade. Across 25 Head Start centers, each of 44 classrooms was randomly assigned either to an intervention group, which received enhanced social-emotional and language-literacy components, or to a “usual-practice” control group. Four-year-old children ( N = 356; 25% African American, 17% Latino, 58% European American; 54% girls) were followed for 5 years, and EF skills were assessed annually. Latent-class growth analysis identified high, moderate, and low developmental EF trajectories. For children with low EF trajectories, the intervention improved EF scores in third grade significantly more ( d = 0.58) than in the control group. Children who received the intervention also demonstrated better academic outcomes in third grade than children who did not. Poverty often delays EF development; enriching the Head Start program with an evidence-based curriculum and teaching strategies can reduce early deficits and thereby facilitate school success.

Download Full-text