• Korean Journal of Child Studies
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• v.38 no.2
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• pp.165-176
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• 2017

Objective: Delinquent peers are important predictors of adolescent delinquent behavior. Few studies have classified individuals into groups based on patterns of delinquent behavior among youth and their peers. This study identified latent groups based on adolescent-peer delinquency and examined psychosocial characteristics of each latent group. Methods: First, the study employed latent class analysis based on a nationally representative data of South Korean middle school students (N = 2,277). Both adolescent and peer delinquent behaviors comprised 13 items in the questionnaire that was self-reported by adolescents. Second, the study used multivariate regression models to analyze psychosocial symptoms of latent groups and conducted Wald tests to compare differences among latent groups. Results: Patterns of adolescent-peer delinquency were classified into six latent groups. "Mutual total delinquent group (1.2%)" showed high rates in most delinquent experiences. "Mutual status delinquent group (5.7%)" mainly experienced status delinquency, "Mutual violence delinquent group (5.3%)" showed high rates of violent delinquency. "Peer-only total high delinquent group (3.8%)" reported friends to have engaged in all types of delinquency and "Peer-only total medium delinquent group (11.8%)" reported peer involvement in multiple status and few violent delinquency. Finally, "low risk group (72.2%)" reported low rates of delinquency for themselves and their friends. Regression analysis showed that every "mutual" delinquent group presented significantly worse psychosocial problems than the "low risk group." Conclusion: Using person centered latent class analysis, this study classified six latent classes while considering both delinquent agents and various types of delinquency and investigated specific groups with greater risk of psychosocial problems.

• Korean Journal of Childcare and Education
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• v.16 no.1
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• pp.115-143
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• 2020

Objective: The purpose of this study was to examine underlying types of developmental trajectories of adaptation to child care among infants and toddlers. This study also aimed to identify latent classes in their child care adaptation types in order to find predictors that account for individual differences. Methods: Participants were 420 mothers of infants and toddlers and 123 teachers. The levels of child care adaptation of participating infants and toddlers were rated monthly from early April to June, 2019. The collected data were analyzed using growth mixture modeling, latent class analysis and multinominal logistic analysis. Results: The results of growth trajectories of child care adaptation showed there were two to four latent groups by dimension of child care adaptation. Also, the groups of individual dimensions of child care adaptation were classified into three latent classes, which were 'complying and positive group', 'negative group', and 'individualized group. Multinominal logistic analysis revealed that children's age, gender, and temperament differentiated the three latent classes of adaptation to child care. Conclusion/Implications: The results show individual characteristics that infants and toddlers possess should be prudently considered in order for successful adaptation to child care.

• Research in Community and Public Health Nursing
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• v.31 no.2
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• pp.212-221
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• 2020

Purpose: This study aims to identify the types of health-related quality of life (QoL) based on the EuroQoL 5 Dimensions among community older people and predict the factors affecting these types. Methods: This study used data from the 2016 Korea Health Panel Survey, whose participants included 3,848 older people. The data were analyzed using the software jamovi 1.2.17 and Mplus 8.2 for latent class analysis. Results: The subgroups of the older people's health-related QoL were identified as three latent classes: General stable type (43.9%), pain-related low type (35.0%), and general low type (21.1%). The types and characteristics of health-related QoL among the latent classes differed. Comparing the difference between the general low type and general stable type, the subjects showed higher probability of belonging to the general stable type when they were men, younger, higher education level, employment, better subjective health, lower BMI and stress level, and no suicidal ideation. A comparison between the general low type and the pain-related low type showed that the subjects were more likely to be classified as the pain-related low type when they were younger, higher education, employment, and better subjective health. Conclusion: The results showed a significant heterogeneity in the types of health-related QoL among community older people, and the predictors for each type were not the same. These findings present basic data for cultivating nursing interventions that enhance health-related QoL.

• Journal of Korean Academy of Nursing
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• v.40 no.1
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• pp.88-98
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• 2010

Purpose: The purpose of this study was to identify the social network types of elders and to identify differences among latent classes by social network. Methods: The data of 312 elders used in this study were collected from health, welfare, and other facilities and from elders living in the community. The interviews were conducted from July 16 to September 30, 2007 using a standard, structured questionnaire. Descriptive statistics, one way ANOVA with the SPSS 15.0 program and latent class analysis using Maximum Likelihood Latent Structure Analysis (MLLSA) program were used to analyze the data. Results: Using latent class analysis, social network types among older adults were identified as diverse for 58.0% of the sample, as family for 34.0%, and as isolated for 8.0%. The health status of respondents differed significantly by network type. Elders in diverse networks had significantly higher health status and elders in isolated networks had significantly lower physical health status on average than those in all other networks. Conclusion: The results of this study suggest that these network types have important practical implications for health status of elders. Social service programs should focus on different groups based on social network type and promote social support and social integration.

• Communications of Mathematical Education
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• v.34 no.1
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• pp.17-39
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• 2020

The purpose of this study is to analyze the mathematical beliefs of students and teachers by Latent Class Analysis(LCA). This study surveyed 60 teachers about beliefs of 'nature of mathematics', 'mathematic teaching', 'mathematical ability' and also asked 1850 students about beliefs of 'school mathematics', 'mathematic problem solving', 'mathematic learning' and 'mathematical self-concept'. Also, this study classified each student and teacher into a class that are in a similar response, analyzed the belief systems and built a profile of the classes. As a result, teachers were classified into three types of belief classes about 'nature of mathematics' and two types of belief classes about 'teaching mathematics' and 'mathematical ability' respectively. Also, students were classfied into three types of belief classes about 'self concept' and two types of classes about 'School Mathematics', 'Mathematics Problem Solving' and 'Mathematics Learning' respectively. This study classified the mathematics belief systems in which students were categorized into 9 categories and teachers into 7 categories by LCA. The belief categories analyzed through these inductive observations were found to have statistical validity. The latent class analysis(LCA) used in this study is a new way of inductively categorizing the mathematical beliefs of teachers and students. The belief analysis method(LCA) used in this study may be the basis for statistically analyzing the relationship between teachers' and students' beliefs.

• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.449-459
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• 2019

Purpose: The aim of this study is to explore different types of self-rated health trajectories among one-person households in Korea. Methods: We used five time-point data derived from Korea Health Panel (2011~2015). A latent growth curve modeling was used to assess the overall feature of self-rated health trajectory in one-person households, and a latent class growth modeling was used to determine the number and shape of trajectories. We then applied multinomial logistic regression on each class to explore the predicting variables. Results: We found that the overall slope of self-rated health in one-person households decreases. In addition, latent class analysis demonstrated three classes: 1) High-Decreasing class (i.e., high intercept, significantly decreasing slope), 2) Moderate-Decreasing class (i.e., average intercept, significantly decreasing slope), and 3) Low-Stable class (i.e., low intercept, flat and nonsignificant slope). The multinomial logistic regression analysis showed that the predictors of each class were different. Especially, one-person households with poor health condition early were at greater risk of being Low-Stable class compared with High-Decreasing class group. Conclusion: The findings of this study demonstrate that more attentions to one-person households are needed to promote their health status. Policymakers may develop different health and welfare programs depending on different characteristics of one-person household trajectory groups in Korea.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.137-148
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• 2023

The purpose of this study is to classify the potential types of mental health of mothers of multicultural youth by applying Latent Profile Analysis, analyze the influence of predictors, and find out how differences in potential types affect parental efficacy. To this end, panel data for the 9th year (2019) of the Multicultural Youth Panel Survey (MAPS) were used. As a result of the analysis, first, the mental health types of mothers of multicultural adolescents were analyzed in the order of 'middle risk type of mental health'(class3) > 'high risk type of self-esteem'(class1) > 'high risk type of mental health'(class4) > 'cultural adaptation and daily life stress'(class2). Second, compared to the "class 1" group, the lower the family economy level of multicultural youth mothers, the lower the educational background of multicultural youth fathers (husbands) graduate from middle school, the lower the level of Korean, and the lower the level of communication with children, the higher the odds of belonging to the 'mental health medium risk' group (Ods). Third, compared to the 'middle risk type of mental health'(class3) and 'high risk type of mental health'(class4), the 'high risk type of self-esteem'(class1) group was found to have a significant positive (+) effect on parental efficacy.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.104-112
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• 2019

Purpose: This study aimed to identify types of quality of life (QoL) based on the 5 dimensions of EQ-5D and predict factors affecting types of QoL. Methods: This study was a secondary analysis using data from the Korean Health Panel Survey-II(2012). Participants were 2,071 middle-aged men who had completed the additional survey in 2012 and the data were analyzed using SPSS 20.0 and Mplus 5.21 for latent analysis. Results: Three latent classes of QoL were identified: serious (2.4% of the sample), threatened (15.5%), and stable types (82.0%). The types and characteristics of QoL among the latent classes differed. On comparing latent type 1 with latent type 2, the socioeconomic status (p<.05), employment status (p<.05), and subjective health status (p<.001) were found to be significant. On comparing latent type 1 with latent type 3, the socioeconomic status (p<.05), current smoking status (p<.001), and subjective health status (p<.001) were found to be significant. On comparing latent type 2 with latent type 3, the socioeconomic status (p<.05), subjective health status (p<.001), stress (p<.001) were found to be significant. Conclusion: The results showed significant heterogeneity in types of QoL and the predictors of QoL by types were different. These findings provide basic information for developing nursing interventions to improve QoL. Specific characteristics depending on the subtypes should be considered during the development of interventions.

• Human Ecology Research
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• v.60 no.2
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• pp.257-271
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• 2022

The aim of this study was to explore the types of helicopter parenting among college students, and to examine how the identified types of helicopter parenting are associated with intimacy goals in dating. In order to investigate these purposes, 202 college students were recruited and analyzed. With the use of Mplus 7.4, a latent profile analysis identified latent profiles of helicopter parenting. Additionally, multivariate regression analysis was conducted in order to analyze the links between the types of helicopter parenting and intimacy goals in dating by using SPSS 26.0. The main findings of the study were as follows. Firstly, three helicopter parenting classes were identified: 1) strong decision-making, 2) strong helicopter parenting, 3) weak helicopter parenting. Secondly, college students in the strong helicopter parenting class reported significantly higher levels of intimacy goals in dating than those in the strong decision-making class. On the other hand, no significant connection was identified between the type of 'weak helicopter parenting' and the levels of intimacy goals in dating, referencing the type of 'strong helicopter parenting.' These results indicate that helicopter parenting has a certain number of types in nature, and the control-based parental behavior could have an impact on college students' intimacy goals in dating.

• The Journal of Korean Association of Computer Education
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• v.22 no.1
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• pp.31-46
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• 2019

The purpose of this study is to analyze the self-directed learning types of software education learners and to characterize them according to each type. To do this, 429 middle school students participating in online software education at K university were surveyed and a latent class analysis to analyze self-directed learning types was conducted. As a result, the self-directed learning types of the software education learners were classified into 'highest level of self-directed learning type (class 1)', 'self learning style recognition type (class 2)', 'self learning style preference type (class 3)', and 'lack of self-directed learning type(class 4)'. Also, the level of software learning achievement according to self-directed learning type of software education learners was found to be the highest at 'highest level of self-directed learning type (class 1)' and lowest at 'self learning style preference type (class 3)'. Based on these results, we suggested the strategic implications for software education.