Longitudinal Adaptive Pattern Analysis of Child Abuse Victims During Childhood and Adolescence

2019 ◽  
Vol 123 (6) ◽  
pp. 2125-2146
Author(s):  
In Shil Paik ◽  
Sungsik Ahn ◽  
Sang Min Lee
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Transition Probabilities ◽  
Latent Transition Analysis ◽  
Childhood And Adolescence ◽  
Class Analysis ◽  
Data Set ◽  
Transition Analysis ◽  
Korean Children ◽  
Latent Transition

Adopting a contextual, systematic perspective, the present study aimed to understand whether an individual’s adverse circumstances in one domain have a continuous effect on his or her maladaptation in another domain. The Korean Children and Youth Panel Survey data set, comprising a stratified sample of 1,932 students recruited from 95 schools from 16 cities in Korea, was used for pattern identification, latent class analysis, and latent transition analysis. Consistent with Masten’s resilience model, latent class analysis was used to identify the following four types of patterns: resilient, maladaptive, vulnerable, and competent-unchallenged. These four patterns were clearly identified at Time 1, Time 2, and Time 3. Latent transition analysis was used to identify the continuity and change patterns in the four groups across the developmental pathology. The transition probabilities from Time 1 to Time 2 were relatively unstable, with many variations observed among the latent classes; however, the transition probabilities from Time 2 to Time 3 remained relatively stable. An in-depth discussion of the findings and their implications is provided.

scholarly journals Where are Children Active and Does it Matter for Physical Activity? A Latent Transition Analysis

2016 ◽  
Vol 13 (12) ◽  
pp. 1294-1300 ◽  
Author(s):  
Natalie Colabianchi ◽  
Jamie L. Griffin ◽  
Kerry L. McIver ◽  
Marsha Dowda ◽  
Russell R. Pate
Keyword(s):  
Physical Activity ◽  
Latent Class ◽  
Latent Transition Analysis ◽  
Latent Classes ◽  
Activity Levels ◽  
Transition Analysis ◽  
Physical Activity Levels ◽  
Latent Transition ◽  
Over Time

Background:Numerous studies have focused on the role of environments in promoting physical activity, but few studies have examined the specific locations where children are active and whether being active in these locations is associated with physical activity levels over time.Methods:Self-reported locations of where physical activity occurred and physical activity measured via accelerometry were obtained for a cohort of 520 children in 5th and 6th grades. Latent class analysis was used to generate classes of children defined by the variety of locations where they were active (ie, home, school grounds, gyms, recreational centers, parks or playgrounds, neighborhood, and church). Latent transition analyses were used to characterize how these latent classes change over time and to determine whether the latent transitions were associated with changes in physical activity levels.Results:Two latent classes were identified at baseline with the majority of children in the class labeled as ‘limited variety.’ Most children maintained their latent status over time. Physical activity levels declined for all groups, but significantly less so for children who maintained their membership in the ‘greater variety’ latent status.Conclusions:Supporting and encouraging physical activity in a variety of locations may improve physical activity levels in children.

scholarly journals Applying latent class analysis in the identification of occupational accident patterns

2020 ◽  
Vol 2020 (146) ◽  
pp. 339-355
Author(s):  
Marzena NOWAKOWSKA ◽  
◽  
Michał PAJĘCKI ◽  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Class Model ◽  
Severe Accident ◽  
Occupational Accidents ◽  
Occupational Accident ◽  
Class Analysis ◽  
Data Set ◽  
Pilot Studies ◽  
Individual Record

Purpose: The objective of the study is to use selected data mining techniques to discover patterns of certain recurring mechanisms related to the occurrence of occupational accidents in relation to production processes. Design/methodology/approach: The latent class analysis (LCA) method was employed in the investigation. This statistical modeling technique enables discovering mutually exclusive homogenous classes of objects in a multivariate data set on the basis of observable qualitative variables, defining the class homogeneity in terms of probabilities. Due to a bilateral agreement, Statistics Poland provided individual record-level real data for the research. Then the data were preprocessed to enable the LCA model identification. Pilot studies were conducted in relation to occupational accidents registered in production plants in 2008-2017 in the Wielkopolskie voivodeship. Findings: Three severe accident patterns and two light accident patterns represented by latent classes were obtained. The classes were subjected to descriptive characteristics and labeling, using interpretable results presented in the form of probabilities classifying categories of observable variables, symptomatic for a given latent class. Research limitations/implications: The results from the pilot studies indicate the necessity to continue the research based on a larger data set along with the analysis development, particularly as regards selecting indicators for the latent class model characterization. Practical implications: The identification of occupational accident patterns related to the production process can play a vital role in the elaboration of efficient safety countermeasures that can help to improve the prevention and outcome mitigation of such accidents among workers. Social implications: Creating a safe work environment comprises the quality of life of workers, their families, thus affirming the enterprises' principles and values in the area of corporate social responsibility. Originality/value: The investigation showed that latent class analysis is a promising tool supporting the scientific research in discovering the patterns of occupational accidents. The proposed investigation approach indicates the importance for the research both in terms of the availability of non-aggregated occupational accident data as well as the type of value aggregation of the variables taken for the analysis.

scholarly journals Analysis of Parenting Attitude Types and Influencing Factors of Korean Parents by Using Latent Transition Analysis

2021 ◽  
Vol 18 (14) ◽  
pp. 7394
Author(s):  
Hanna Lee ◽  
Jeong-Won Han
Keyword(s):  
Preschool Children ◽  
Influencing Factors ◽  
Latent Profile Analysis ◽  
Latent Class ◽  
Influential Factors ◽  
Latent Transition Analysis ◽  
Latent Classes ◽  
Transition Analysis ◽  
Latent Transition ◽  
Parenting Attitude

This study aimed to classify the latent class of parenting attitude for parents with preschool children and school-age children, identify the pattern of transition in the type of parenting attitude over time, and determine the influencing factors associated with the transition. A total of 1462 households were the subjects of this longitudinal study that used latent profile analysis, latent transition analysis, and logistic regression analysis. The parenting attitude in the preschool year was classified into a model of three latent classes of ‘parent uninvolved’, ‘maternal authoritative and paternal authoritarian’, and ‘maternal authoritarian and paternal authoritative’, and the parenting attitude in the school year was classified into a model of four latent classes of ‘parent weak uninvolved’, ‘parent strong uninvolved’, parent authoritative’, and ‘maternal authoritarian and paternal authoritative.’ All latent class subjects with preschool children showed an attitude transition to maternal authoritarian and paternal authoritative when their children were in school years. It was confirmed that a mother’s depression and father’s parenting stress were the most influential factors in the parenting attitude transition. This study lay in identifying the patterns of parenting attitude and the transition in attitude according to the developmental stage of children.

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