• Title/Summary/Keyword: 잠재집단모형

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Variable selection for latent class analysis using clustering efficiency (잠재변수 모형에서의 군집효율을 이용한 변수선택)

  • Kim, Seongkyung;Seo, Byungtae
    • The Korean Journal of Applied Statistics
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    • v.31 no.6
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    • pp.721-732
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    • 2018
  • Latent class analysis (LCA) is an important tool to explore unseen latent groups in multivariate categorical data. In practice, it is important to select a suitable set of variables because the inclusion of too many variables in the model makes the model complicated and reduces the accuracy of the parameter estimates. Dean and Raftery (Annals of the Institute of Statistical Mathematics, 62, 11-35, 2010) proposed a headlong search algorithm based on Bayesian information criteria values to choose meaningful variables for LCA. In this paper, we propose a new variable selection procedure for LCA by utilizing posterior probabilities obtained from each fitted model. We propose a new statistic to measure the adequacy of LCA and develop a variable selection procedure. The effectiveness of the proposed method is also presented through some numerical studies.

Elementary School Children's Trajectories of Self-Esteem in Grades 1 through 4 (초등학교 1~4학년의 자아존중감 변화궤적 및 잠재계층유형)

  • Seul Gi Ko;Sang Lim Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.581-587
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    • 2023
  • The purpose of this study was to analyze the change trajectory and latent class types of self-esteem in first to fourth grade elementary school students. For the purpose, the Korean Children's Panel data were analyzed using potential growth model and the growth mixture model. As the results, the linear change model was selected as the most appropriate model. The change trajectory was found to increase slightly as the grade increased. In addition, four latent class groups were derived through: 'high level-maintenance,' 'low level-increase,' 'high level-decrease,' and 'low level-maintenance.' Most children were in the 'high level-maintenance' group, followed by 'high level-decrease,' 'low level-increase,' and 'low level-maintenance' groups. Therefore, based on the results of the study, we suggest that educational institutions and local communities pay attention to trends in elementary school students' self-esteem and provide appropriate support for students in each class.

Dual Trajectory Modeling Approach to Analyzing Latent Classes in Youth Employees' Job Satisfaction and Turnover Intention Trajectories (청년 취업자의 직무만족도와 이직의사 변화의 잠재계층에 대한 이중 변화형태 모형의 적용)

  • No, Un-Kyung;Hong, Se-Hee;Lee, Hyun-Jung
    • Survey Research
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    • v.12 no.2
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    • pp.113-144
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    • 2011
  • The purposes of the present study were (1) to identify the latent classes depending on youth employees' trajectories in job satisfaction and turnover intention and (2) to test the effects of person-job fit(major fit, education level fit, skill level fit) on job satisfaction and turnover intention using Youth Panel 2001. In order to estimate latent classes of job satisfaction and turnover intention changes simultaneously and study probabilities linking latent class membership in trajectory across the two variables, we applied dual trajectory model, an extension of semi-parametric group-based approach, Results showed that four latent classes were identified for job satisfaction, which were defined, based on the trajectory patterns, as increasing group, decreasing group, medium-level group, and high-level group. And, three latent classes estimated for turnover intention were defined as low-level group, maintaining group, and rapidly decreasing group. To test the effects of person-job fit variables, we added the variables as time-dependant variables to the unconditional latent class model. The effect of education level fit and skill level fit were found significant in the groups which are low in job satisfaction and have high in turnover intention. Findings from this study suggest the need to consider trajectory heterogeneity in the study of youth employees' job satisfaction and turnover intention to capture the dynamic dimension of overlap between the two constructs.

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Influences of Father's Involvement in Parenting on Child's Problematic Behaviors and Mother's Psychological Well-being: Focused on Latent Classes Growth Analysis (아버지 양육참여 변화 유형에 따른 자녀의 문제행동 및 어머니의 심리적 특성 차이 비교: 잠재계층성장모형 적용을 중심으로)

  • Yeon, Eun Mo;Choi, Hyo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.468-476
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    • 2020
  • This study investigated how latent groups depend on the longitudinal trajectories observed in fathers' involvement in parenting over a five year period, and the study also determined differences in children's behavioral problems and mother's parenting stress, marital satisfaction, and depression among these groups. By utilizing 1,316 sets of data from 1st to 5th Panel Survey of PSKC beginning in 2008, we examined the patterns of the latent groups and the differences among them. The results showed that, first, a changing pattern of fathers' involvement in parenting is classified into four groups: a low-stable group, a decreasing group. a middle-high changeable group, and a highest changeable group. According to the results of the latent groups, the fathers' involvement in parenting commonly started to decrease at the children's age of 4 years old. Second, problematic behaviors of children appeared more from the fathers in the decreasing group. Third, parenting stress, marital conflict, and depression were more often found in the low-stable group that in the decreasing group. the middle-high changeable group and the highest changeable group (in that order), while marital satisfaction showed a completely opposite pattern. Based on these results, political intervention and the future direction of research for fathers' involvement in parenting are needed in order to increase better behaviors of their children as well as the psychological well-being of their mothers.

Trajectories of Mothers' Daily Life Stress and its Association with Early Adolescents' Perceived Neglecting Attitude and Academic Achievements in Multicultural Families: Growth Mixture Modeling (다문화 가정 어머니의 일상생활스트레스 변화 양상에 따른 방임 및 자녀의 학업성취 차이: 성장혼합모형 적용을 중심으로)

  • Yun, Hongju;Choi, Hyo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.348-356
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    • 2019
  • The purpose of this study was to identify latent classes in changes of mothers' daily life stress over six years from multicultural families and to test its relationship with early adolescents' perceived neglecting parental attitudes and their academic achievements. For achieving this purpose, as the study sample 1,039 students were gathered from the 4th grade of elementary school to 3rd grade of middle school, using Growth Mixture Modeling, Multiple Group Analysis, and One-way ANOVA. The results were as follows. First, latent classes of mothers' daily life stress were categorized into three types: high-stable trajectory, moderate-changing trajectory, and low-changing trajectory. Second, these three types showed different characteristics in early adolescents' perceived neglecting parental attitudes and academic achievements. Third, early adolescents' perceived neglecting parental attitude were not significant determinants of the latent classes while academic achievements were. The findings of this study may provide a framework for understanding the relationships among mothers' daily life stress and early adolescents' perceived neglecting parental attitudes and their academic achievements in multicultural families and practical implications for providing social support to overcome daily life stress of mothers in multicultural families.

A Longitudinal Analysis of Adolescents' Achievement Motivation Profiles and their Relationship to Academic Achievement in Multicultural Family (잠재계층성장모형을 적용한 다문화 가정 자녀의 성취동기 변화 유형 및 예측요인 탐색: 학업성취 수준의 차이를 중심으로)

  • Yeon, Eun Mo;Choi, Hyo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.404-414
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    • 2020
  • This study aims to explore latent classes in terms of changing patterns in achievement motivation among the samples from elementary school to middle school students in multicultural families and to investigate factors to predict latent groups and their relationship with academic achievement. 1254 pairs of mother and child from the 1st to 6th years of Multicultural Adolescents Panel Study (MAPS) was utilized for the Latent Class Growth Analysis (LCGA), One-way ANOVA, Multinomial Logistic Regression. The results showed that there were four distinct subgroups within the samples in terms of achievement goal orientations (i.e. very-high changing group, average changing group, low stable group, very-low stable group) at all six time points, and students who reported high achievement motivation were likely to have higher academic achievement. Four groups were extracted based on parent's efficacy, students' self-esteem, and teacher's support. Suggestions and practical implications for understanding the types of subgroups for the achievement motivation of multicultural families were discussed.

Classification of latent classes and analysis of influencing factors on longitudinal changes in middle school students' mathematics interest and achievement: Using multivariate growth mixture model (중학생들의 수학 흥미와 성취도의 종단적 변화에 따른 잠재집단 분류 및 영향요인 탐색: 다변량 성장혼합모형을 이용하여)

  • Rae Yeong Kim;Sooyun Han
    • The Mathematical Education
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    • v.63 no.1
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    • pp.19-33
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    • 2024
  • This study investigates longitudinal patterns in middle school students' mathematics interest and achievement using panel data from the 4th to 6th year of the Gyeonggi Education Panel Study. Results from the multivariate growth mixture model confirmed the existence of heterogeneous characteristics in the longitudinal trajectory of students' mathematics interest and achievement. Students were classified into four latent classes: a low-level class with weak interest and achievement, a high-level class with strong interest and achievement, a middlelevel-increasing class where interest and achievement rise with grade, and a middle-level-decreasing class where interest and achievement decline with grade. Each class exhibited distinct patterns in the change of interest and achievement. Moreover, an examination of the correlation between intercepts and slopes in the multivariate growth mixture model reveals a positive association between interest and achievement with respect to their initial values and growth rates. We further explore predictive variables influencing latent class assignment. The results indicated that students' educational ambition and time spent on private education positively affect mathematics interest and achievement, and the influence of prior learning varies based on its intensity. The perceived instruction method significantly impacts latent class assignment: teacher-centered instruction increases the likelihood of belonging to higher-level classes, while learner-centered instruction increases the likelihood of belonging to lower-level classes. This study has significant implications as it presents a new method for analyzing the longitudinal patterns of students' characteristics in mathematics education through the application of the multivariate growth mixture model.

A Latent Profile Analysis of Stress Coping Strategies among Korean Adults at the Early Stage of the Coronavirus Pandemic(COVID-19) and Verification of Influencing Factors (코로나 팬데믹 초기 한국인의 스트레스 대처 양상에 따른 잠재계층 분류와 영향요인 검증)

  • Nam, Seulki;Lee, Dong Hun
    • Korean Journal of Culture and Social Issue
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    • v.28 no.3
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    • pp.483-512
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    • 2022
  • This study examined the patterns of coping strategies among Koreans during the early stage of the COVID-19 pandemic, explored the influence of demographic information (gender, age, economic level, household type), along with the unusual experiences due to COVID-19 (fear, stress of COVID, constraints of routine, income risk) on the classification of subclasses, and analyzed the latent profile differences in psychological wellbeing (life satisfaction, depression, and anxiety). An online survey was conducted among Korean Adults(n=600) between April 13, 2020 and 21, when WHO declared COVID-19 a global pandemic and Daegu as well as Gyeongsangbuk-do was nominated as a special disaster zone. First, Latent Profile Analysis (LPA) was used to identify subclasses of coping strategies and results suggested that the 4-class model had the best fit. Second, Class memberships were predicted by gender, age, economic level, as well as fear, stress, constraints of routine, and income risk, among the unusual experiences due to COVID-19. Finally, there are differences in psychological wellbeing among latent profiles. 'High level of adaptive coping group 3' showed the highest level of life satisfaction, 'Adaptive-maladaptive coping group 4' showed the highest level of depression, anxiety. Implications and suggestions are discussed based on the study results.

Relationship between Latent Classes of Socioeconomic Status and Self-Esteem among Elderly Living Alone (사회경제적 지위 잠재유형이 독거노인의 자아존중감에 미치는 영향)

  • Kwag, Kyung Hwa
    • The Journal of the Korea Contents Association
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    • v.16 no.1
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    • pp.1-12
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    • 2016
  • The purpose of this study was to identify latent classes of socioeconomic status and to explore whether those of socioeconomic status influenced self-esteem among elderly living alone. From the data of 2009 National Elder Abuse Investigation, 1,333 older adults who were over 65 years and living alone were analyzed. Latent class analysis, one-way ANOVA, and hierarchical regression analysis were performed to test the purpose of this study. Results of this study found 5 latent classes of socioeconomic status, named as high education-low income group, low education-low income group, middle education-low income group, high education-high income group, and low education-high income group. Next, there were significant differences in self-esteem depending on 5 latent classes of socioeconomic status. Finally, compared to low education-low income group, high education-low income group, middle education-low income group, high education-high income group, and low education-high income group showed higher levels of self-esteem, even after adjusting for confounding factors. Findings from this study suggested fundamental characteristics and public policy for elderly living alone.

Classification of Student's School Violence During Middle School: Applying Multilevel Latent Profile Models to Test Individual and School Effects (다층 잠재프로파일 분석을 적용한 중학생의 학교폭력 집단 분류와 개인 및 학교요인 검증)

  • No, Unkyung;Lee, Eunsoo;Lee, Hyunjung;Hong, Sehee
    • Survey Research
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    • v.18 no.2
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    • pp.67-98
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    • 2017
  • The purposes of this study are to identify the latent classes of school violence depending on bullying and victimized experience by type and the influences of individual-level and school-level variables on determining these latent profiles. For these research goals, the present study utilized data from the Seoul Education Longitudinal Study(SELS) 5th wave, containing data from 2,195 middle school students who experienced school violences more than once. Multilevel latent profile models were applied to examine school violence among students. Our results indicated that there were four latent classes; high-level bullying and victimized group (1.7%), mainly bullying group(2.1%), mainly victimized group(3.7%), verbal bullying and victimized group(92.5%). Gender, resilience, self-control, peer relationship, parental relationship were significant determinants of the latent profiles at student level. Teacher-student relationships, school violence prevention, gender ratio of school were significant determinants of the latent profiles at school level. The present study contributed to extending theoretical discussions by classifying students into groups based on frequency and different forms of bullying and victimization. Moreover, this study examined determinants of student and school level simultaneously by dealing with multilevel data.