• Human Ecology Research
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• 제61권3호
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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.

• 한국콘텐츠학회논문지
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• 제21권7호
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• pp.533-545
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• 2021

이 연구는 기업근로자가 인식한 조직문화 유형에 따른 양성평등의식의 차이를 규명하는 목적으로 수행되었다. 연구목적을 달성하기 위해 국내 기업 근로자 253명의 응답자료를 활용하여 기술통계, 상관관계 분석, 잠재프로파일 분석을 실시하였다. 분석결과 기업근로자가 인식한 조직문화 유형은 5가지로 구분되었다. 구체적으로 1번 집단은 합리문화가 높고 개발문화가 낮은(고합리-저개발 문화), 2번 집단은 합리문화가 상대적으로 높고 합의문화가 가장 낮은(고합리-저합의 문화), 3번 집단은 전체적으로 비슷한 가운데 합의문화가 높게 나타난(합의 문화), 4번 집단은 개발문화가 가장 높은(고개발 문화), 5번 집단은 위계문화가 가장 높은(고위계 문화)로 명명하였다. 조직문화 유형 인식에 따른 잠재집단별 양성평등의식의 차이를 분석한 결과 양성평등의식에 통계적으로 유의미한 차이가 나타났으며, 구체적으로 고합리-저합의 문화, 고합리-저개발 문화, 고위계문화, 고합의 문화, 고개발 문화 순으로 나타났다. 특히 합리문화에 대한 인식이 다른 문화에 대한 인식보다 더 높게 나타나는 프로파일에서 양성평등의식이 높았다. 이 연구는 조직문화 유형과 양성평등의식의 관계를 밝혔다는 점에서 의의가 있으며, 양성평등의식 향상을 위한 조직차원의 개입관련 시사점을 제안하였다.

• 한국콘텐츠학회논문지
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• 제20권9호
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• pp.365-379
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• 2020

본 연구는 Houle(1961)의 교육참여동기 세 가지 유형(학습지향성, 활동지향성, 목표지향성)을 중심으로 창업교육동기 잠재프로파일의 정량적, 질적 유형 및 특징을 분석하고 창업의도와 창업유형의 차이를 살펴보는데 목적이 있다. 이를 위해 대학생 614명을 중심으로 잠재프로파일 분석(Latent Profile Analysis: LPA)을 실시하였으며, 창업교육동기 프로파일 1(표류자), 프로파일 2(정체형), 프로파일 3(소심가), 프로파일 4(추종자), 프로파일 5(선도자)를 도출하였다. 프로파일에 따른 창업의도는 5개 프로파일 중 프로파일 5, 프로파일 4, 프로파일 3의 순으로 높게 나타났다. 또한 프로파일 5와 프로파일 4 그룹의 창업 선호도가 높으며, 프로파일의 창업유형은 개인창업과 공동창업이 유의한 것으로 나타났다. 잠재프로파일 분석방법을 통해 대학생 창업연구에 새로운 방법론적 패러다임을 제시하고, 도출된 5개 프로파일에 따른 창업의도 및 창업유형 분석을 통해 창업교육의 실무적인 시사점을 제시하고자 한다.

• 의학교육논단
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• 제23권2호
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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.

• 교육시설 논문지
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• 제26권5호
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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.

• Communications for Statistical Applications and Methods
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• 제23권2호
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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.

• 융합경영연구
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• 제11권5호
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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.

• 한국심리학회지 : 문화 및 사회문제
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• 제28권4호
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• pp.577-595
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• 2022

본 연구는 잠재프로파일 분석을 활용하여 성인 도박자의 심리적 특성을 분류하고, 잠재프로파일에 따른 결과를 확인하고자 하였다. 이를 위해 본 연구는 도박행동 패턴, 기본심리욕구, 및 스트레스, 우울, 불안과 같은 정신건강 수준에 대해 온라인 설문에 참여한 도박자 473명을 대상으로 하였다. 잠재프로파일 분석을 한 결과 성인 도박자의 심리적 특성은 크게 3가지 유형으로 나타났으며, '정신건강-심리욕구 저 집단', '정신건강-심리욕구 중 집단', '정신건강-심리욕구 고 집단'으로 나타났다. 또한, 결과변수인 문제도박 수준은 각 잠재프로파일에 따라 유의하게 다른 차이를 보였으며, 정신건강-심리욕구 저 집단은 문제성 도박, 정신건강-심리욕구 중 집단은 중위험 도박, 정신건강-심리욕구 고 집단은 저위험 도박 수준으로 나타났다. 본 연구는 기존의 도박 문제에 대한 변인 중심의 연구의 한계를 극복하고, 도박자들의 심리적 특성들과 그들의 다른 잠재프로파일에 따른 문제도박 수준의 차이에 대한 새로운 통찰을 제공하였다는 점에서 의의가 있다. 끝으로 본 연구의 한계와 향후 도박문제에 대한 연구방향에 대해서 제언하였다.

• 한국심리학회지:학교
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• 제11권1호
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• pp.253-274
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• 2014

본 연구는 자기결정성 동기 유형 중 무동기, 외적동기, 내적동기 변화의 잠재프로파일에 따라 집단을 분류하고, 각 집단을 결정하는 영향요인을 확인하고자 하였다. 이를 위해, 한국교육종단연구(Korea Education Longitudinal Study, KELS) 패널자료를 활용하여 중2와 고2 두 시점 모두에서 자기결정성 동기 설문에 응답한 5,459명을 대상으로 자료를 수집하였다. 동기유형의 변화량을 알아보기 위해 SPSS 17.0을 이용하여 표준화된 잔차를 산출하였고, M-Plus를 사용하여 잠재프로파일분석(Latent Profile Analysis: LPA)으로 동기 변화량의 프로파일에 따른 잠재계층을 분류하였다. 분석결과, 동기변화의 잠재프로파일에 따라 분류된 집단은 '자기결정성 증가, 자기결정성유지, 자기결정성 발달 정체, 자기결정성 혼돈, 자기결정성 감소' 집단으로 총 다섯 가지 집단으로 나타났다. 또한, 다섯 개 집단의 특성을 알아본 결과, 부모의 통제.학업적 자기개념, 교사-학생관계, 시험불안, 회피 지향, 성별, 부 학력, 소득의 영향력이 각 집단의 특성을 설명할 수 있는 영향요인으로 확인되었다. 마지막으로, 본 연구의 결과들을 바탕으로 하여 청소년 상담 개입전략에 대한 함의와 본 연구의 제한점 및 후속연구에 대한 제안 등을 논의하였다.

• 한국보육지원학회지
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• 제17권3호
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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.