• Title/Summary/Keyword: Latent profile analysis

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An Association between the Latent Profiles of the Difficulties Associated with School- to-Work Transitions and Mental Well-Being among University Students (대학생의 취업이행 과정의 어려움에 관한 잠재유형과 정신적 안녕감과의 관계)

  • Jeewon Chun
    • Human Ecology Research
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    • v.61 no.3
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    • pp.335-348
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    • 2023
  • The purpose of this study was to identify: (a) the latent profiles of the difficulties associated with the schoolto-work transition (decline in confidence, mood swings, family disagreements, the burdens of familial expectations, economic hardship, and a lack of support) made by university students, (b) predictors (gender, age, grade, university location, co-residence with parents on weekdays, monthly household income, and parental educational attainment) of these profiles, and (c) how the profiles were associated with mental wellbeing. The participants of this study were 311 senior or above students (164 males and 147 females) under the age of 29, who were unmarried and preparing for employment. The findings of this study were as follows. First, the latent profile analysis revealed three distinct profiles: the "low overall difficulties" type (25.4%), the "moderate overall difficulties" type (49.9%), and the "high overall difficulties" type (24.7%). Second, the factors that predicted each profile included gender, age, co-residence with parents on weekdays, monthly household income, and parental educational attainment. Third, the "low overall difficulties" type demonstrated the highest level of mental well-being (emotional, social, and psychological well-being). This study was significant for examining the latent profiles of the difficulties associated with the school-to-work transition made by university students preparing for employment, while also exploring their mental well-being. Based on the results of this study, practical implications, limitations, and suggestions for further study were discussed.

Differences in Gender Equality Consciousness between Latent Profiles based on Organizational Culture Types Recognized by Corporate Workers (기업근로자가 인식한 조직문화 유형에 따른 양성평등의식의 차이)

  • Kim, Younga;Lee, Jaeeun
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.533-545
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    • 2021
  • This study aimed to examine the differences in gender equality consciousness between latent profiles based on corporate workers' organizational culture types. To achieve the study's purpose, descriptive statistics, correlation analysis, and latent profile analysis (LPA) were conducted using 253 Korean corporate workers' data. As a result of the analysis, the latent profiles of organizational culture recognized by corporate workers were classified into 5 profiles. We named each profile as high compete-low create culture, high compete-low collaborate culture, collaborate culture, high create culture, and high control culture based on each profile's organizational culture perception. The ANOVA test found statistically significant differences between the groups in the gender equality consciousness. This study is meaningful in that it reveals the relationship between the organization culture perception and the gender equality consciousness and suggested implications for the organizational-level intervention to improve the gender equality consciousness. It will provide basic data for your research.

A latent Profile Analysis of Students' Learning Motivation Profiles on Entrepreneurial Educational Motivation and Entrepreneurial Intentions and Type of Entrepreneurship (대학생 창업교육동기에 대한 사람중심접근법 : 잠재프로파일 유형에 따른 창업의도 및 창업유형)

  • Oh, Hyun Sung;Byun, Ji-Yeon;Kim, Jun Soo
    • The Journal of the Korea Contents Association
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    • v.20 no.9
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    • pp.365-379
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    • 2020
  • The purpose of this study identifies the patterns of students' learning motivation profiles on entrepreneurial educational motivation among a sample of university students from one of the Korean national university(n=614). This study also examines the relationship between students' learning motivation profiles and entrepreneurial intention and types of entrepreneurship. In order to explore the types of leaning motivation profiles, a latent profile analysis was employed. Result from LPA revealed five distinct types of learning motivation profiles fit the data best, and these five profiles are compared with students' entrepreneurial intentions and types of entrepreneurship. Results showed that Profiles (profile 5 and 4-high goal orientation) are associated with the higher level of entrepreneurial intention. Regarding the type of entrepreneurship, the majority of all students are interested in individual and co-entrepreneurship with friend regardless of the patterns of profiles.

Latent Profile Analysis of Medical Students' Use of Motivational Regulation Strategies for Online Learning (온라인 학습에서 의과대학생의 동기조절 프로파일 유형에 따른 인지학습과 학습몰입 간 관계 분석)

  • Yun, Heoncheol;Kim, Seon;Chung, Eun-Kyung
    • Korean Medical Education Review
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    • v.23 no.2
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    • pp.118-127
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    • 2021
  • Due to the coronavirus disease 2019 pandemic, the new norm of online learning has been recognized as core to medical institutions for academic continuity, and students are expected to be motivated and engaged in learning while maintaining distance from other peers and educators. To facilitate students' and educators' newly defined roles in online medical education settings, it is crucial to understand how students are actively motivated and engaged in learning. Hence, this study explored medical students' motivational regulation profiles and examined the effects of motivational regulation strategies (MRS) on cognitive learning and learning engagement for online learning. Data were collected after the end of the first semester in 2020 from a sample of 334 medical students enrolled at a public university school of medicine. Latent profile analysis indicated three subgroups with different motivational regulation profiles: the low-profile, medium-profile, and high-profile groups. Regarding different MRS patterns in the high-profile group, mastery self-talk, performance approach self-talk, and the self-consequating strategy appeared to be most applicable for regulating learners' motivation. Analysis of variance showed that the profile groups with higher levels of MRS use were connected to a higher willingness to use cognitive learning strategies and a higher degree of engagement in online learning. The findings of this study emphasize the use of specific sets of MRS to support learning motivation and the need to design effective self-regulated learning environments in online medical education settings.

Regional Profiling by Considering Educational Facilities - Centered on Gwangjin-gu, Seoul - (교육 시설 생활인프라 특성을 고려한 지역 프로파일링 연구 - 서울시 광진구 중심으로 -)

  • Kang, Woo-Seok;Lee, Hee-Chung
    • Journal of the Korean Institute of Educational Facilities
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    • v.26 no.5
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    • pp.3-10
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    • 2019
  • This study has a purpose to profile local sectors into meaningful groups by using facilities rates of Social Overhead Capital(SOC) for daily life. Comparing SOC for daily life among the meaningful groups, the profiling and comparison results bring the comprehensive understanding about the educational facilities in local sectors. For the research purpose, this study utilized Latent Profile Analysis(LPA) by using variables such as population, road information, SOC for daily life, usage of land, possession of land, and appraised value of land from the 2018 Geographic Information System(GIS) dataset of Gwangjin-gu, where is one of the administrative district of Seoul City. Results showed that there are four latent groups of sectors among 904 local sectors(100 squared-meters sector per each) in Gwangjin-gu. By comparing the four latent groups by using LPA, the results diagnose each sector's status and help to improve the policy about educational facilities. Specifically, by using dataset for SOC of daily life, there are four groups of local sectors and each group has different features. Based on the different features of local sector groups, there can be improved management of educational facilities matching with each group's features.

The inference and estimation for latent discrete outcomes with a small sample

  • Choi, Hyung;Chung, Hwan
    • Communications for Statistical Applications and Methods
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    • v.23 no.2
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    • pp.131-146
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    • 2016
  • In research on behavioral studies, significant attention has been paid to the stage-sequential process for longitudinal data. Latent class profile analysis (LCPA) is an useful method to study sequential patterns of the behavioral development by the two-step identification process: identifying a small number of latent classes at each measurement occasion and two or more homogeneous subgroups in which individuals exhibit a similar sequence of latent class membership over time. Maximum likelihood (ML) estimates for LCPA are easily obtained by expectation-maximization (EM) algorithm, and Bayesian inference can be implemented via Markov chain Monte Carlo (MCMC). However, unusual properties in the likelihood of LCPA can cause difficulties in ML and Bayesian inference as well as estimation in small samples. This article describes and addresses erratic problems that involve conventional ML and Bayesian estimates for LCPA with small samples. We argue that these problems can be alleviated with a small amount of prior input. This study evaluates the performance of likelihood and MCMC-based estimates with the proposed prior in drawing inference over repeated sampling. Our simulation shows that estimates from the proposed methods perform better than those from the conventional ML and Bayesian method.

A Study on the Residential Satisfaction of Local Residents Using Latent ProfilE Analysis

  • Yoon-Jung LEE;Sun-Ju KIM
    • The Journal of Economics, Marketing and Management
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    • v.11 no.5
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    • pp.1-13
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    • 2023
  • Purpose: This study analyzed the factors that increase the satisfaction of local residents' housing and residential environment, and derived implications for housing suppliers and policymakers in local areas. Research design, data and methodology: The analysis method derived latent group types through latent profile analysis, and cross-analysis and covariate variance analysis (ANCOVA) were conducted to analyze the differences between these groups. Results: The analysis results are as follows. First, there are four potential group types: good neighborhood facilities and low-level surrounding environment 1 group, low-level neighborhood facilities and good surrounding environment 2 groups, overall low-level 3 groups, and overall high-level 4 groups. Second, groups 1 and 3 tend to live in relatively old apartments. Third, as a result of distributed analysis, groups with low accessibility to neighborhood facilities but good environmental conditions and groups with high overall levels had relatively high housing satisfaction. Conclusions: As an implication, we discussed the need for development that highlights natural environment-friendly characteristics as well as access to neighborhood facilities. In addition, in order to derive more specific implications, the direction of follow-up studies considering job linkage and the effects of specific and various environmental factors was presented together.

Latent Profile Analysis of Korean Adult Gamblers' Psychological Characteristics and Their Differences in Levels of Problematic Gambling (잠재프로파일 분석을 이용한 성인 도박자의 심리적 특성과 문제도박 수준의 차이)

  • Jaehwan, Kim;Seongeun, Oh;Sungho, Jang
    • Korean Journal of Culture and Social Issue
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    • v.28 no.4
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    • pp.577-595
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    • 2022
  • The purposes of the study is to classify the psychological characteristics of gamblers using by latent profile analysis and to identify the consequences according toof the latent profiles. The subjects of the study are 473 adults gamblers who responded to a online survey about gambling patterns, basic psychological needs(BPNs), and mental health status(MHS) such as stress, depression, and anxiety. Using latent profile analysis known as the person-centered analysis, the results showed that psychological characteristics of gamblers were classified into three groups: 'Lower MHS-BPNs', 'Middle MHS-BPNs', and 'Upper MHS-BPNs'. Also, the as outcome variable, levels of problematic gambling(KCPGI) showed significant differences across the latent profiles such as Problem gambling(M=11.393) on 'Lower MHS-BPNs', Moderate-risk gambling(M=4.277) on 'Middle MHS-BPNs' and Low-risk gambling (M=1.718) on 'Upper MHS-BPNs'. Overcoming the limitations of variable-centered analysis in the existing studies, this study providesreveals new insights onin the psychological characteristics of gamblers and how different latent profiles of gamblers may be in theirdistinct levels of problematic gambling. Finally, limitations of the study and future directions for research on gambling problems are discussed.

Identifying Latent Classes in Adolescent's Self-Determination Motivation and Testing Determinants of Classes (자기결정성 이론에 따른 학습동기 변화의 잠재프로파일 분류 및 영향요인 검증)

  • Choi, Hyunju;Cho, Minhee
    • Korean Journal of School Psychology
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    • v.11 no.1
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    • pp.253-274
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    • 2014
  • The present study classified groups based on latent profile of self-determination motivation(amotivation, external motivation, intrinsic motivation), and examined the determinants for each group. The data was collected through panel data of Korea Education Longitudinal Study(KELS), total 5,459 participants who answered questionnaires of self-determination motivation of two times both second grade of middle school and second grade of high school. To identify the change motivational type, standardized residual was conducted using SPSS 17.0., and the latent classes for the change of motivational type was investigated using M-Plus in the frame work of Latent Profile Analysis(LPA). The results indicated that five groups(increase of self-determination, self-determination maintenance, self-determination developmental delay, elf-determination confusion, decrease of self-determination group) were classified based on latent profile. In addition, parental control, academic self-concept, teacher-student relationship, test anxiety, avoidance orientation, gender, father's education, and income were significantly related to each group. Lastly, the implications for directions of the adolescent counseling, limitations and future research are discussed.

The Effects of Maternal Monitoring, Shared Activities, Education-Oriented Behavior, and Allowing Children to Own Smart-Phones on the Smart Media Usage Patterns of Elementary School Children (어머니의 감독, 활동공유, 교육지향행동, 스마트폰 허용여부가 초등학교 저학년 아동의 스마트 미디어 이용패턴에 미치는 영향)

  • Kim, Yoon Kyung;Park, Ju Hee;Oh, So Chung
    • Korean Journal of Childcare and Education
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    • v.17 no.3
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    • pp.65-87
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    • 2021
  • Objective: This study aimed to examine the effects of maternal monitoring, shared activities with children, maternal education-oriented behavior, and allowing children to own smart-phones on smart media usage patterns based on smart-phone usage time and purposes among elementary school children. Methods: The participants were 1,315 second-grade elementary school children from the 9th wave of PSKC. Latent profile analysis and the three-step estimation approach were used to examine the determinants of the latent profile and the effects of maternal parenting on the profile. Results: Four latent profiles were identified: 'High-level usage & Entertaining oriented,' 'Moderate-level usage & Social/entertaining oriented,' 'Moderate-level usage & Learning oriented,' and 'Low-level usage.' Additionally, results showed that each profile can be predicted by maternal monitoring, education-oriented behavior, and permitting children to own smart-phones. Conclusion/Implications: Our outcomes suggested that it would be necessary to understand the smart media usage patterns of elementary school children, considering both the amount of time spent with smart media and purposes of uses. Further, it is helpful for mothers to monitor children's daily activities, support their educational activities, and take the role of gatekeeper for smart media as a way of appropriate guidance for their children's use of smart media.