• Journal of The Korean Association For Science Education
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• v.31 no.6
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• pp.876-886
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• 2011

This study was carried out to investigate the difference of gender of academic self-efficacy, external motivation, interest and science achievement for high school students of Korea and to verify the structural relationship among these variables using PISA 2006 data. The major findings of this study are as follows. According to Multi-group analysis, Latent means analysis (LMA), where boys were used as the reference group, girls showed lower latent mean values on the academic self-efficacy, extrinsic motivation and interest. Academic self-efficacy was found to have a greater effect on achievement compared to external motivation and interest. According to structural equation modeling (SEM) analysis, academic self-efficacy and extrinsic motivation affected interest. Academic selfefficacy, external motivation, and interest affected science achievement. Lastly, interest mediated academic selfefficacy and external motivation on science achievement.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.431-438
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• 2018

This study aimed to investigate the differences of perceived stigma, psychological empowerment, job satisfaction according to the working hours by latent means analysis(LMA). To get the results, a survey was conducted, targeting employed people with mental illness. Key outcomes of the analysis were as follows. First, it was verified that perceived stigma and job satisfaction, psychological empowerment had statistically meaningful direct relationships. Second, it was analyzed that psychological empowerment had a partial mediating effect in the relationship between perceived stigma and job satisfaction. Third, according to LMA, full-time group showed higher latent mean values on the perceived stigma and lower latent mean values on the job satisfaction. However, part-time group showed lower latent mean values on the psychological empowerment. Based in these results, comprehensive interventions for activating job satisfaction were proposed.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.5
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• pp.674-678
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• 2011

The model to estimate potential evapotranspiration (PET) was developed using periodic function. Average PET during 30 years for 67 areas was $2.36mm\;day^{-1}$, and those were distributed with the range of $1.42{\sim}3.45mm\;day^{-1}$. The period of PET change was 16~32 years according to area.

• 한국노년학
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• v.29 no.4
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• pp.1521-1538
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• 2009

The purpose of the present study was to examine the structural causal relationships among problem drinking of elderly, depression, self-esteem and life satisfaction through structural Equation Modeling and also to investigate how these effects were influenced by the differences in the structural relationships between poor and non-poor elderly. The results showed the positive relationship between problem drinking and depression not also poor elderly group but non-poor elderlys'. According to Multi-group analysis, Latent means analysis where non-poor elderly are used as the reference group, poor elderly group showed higher latent mean values on the problemdrinking and depression, and lower latent mean values on the self-esteem and life satisfaction. Depression mediated the relationships between problem drinking of elderly and life satisfaction the only in a poor elderly group. The implications and limitations of this study were discussed, and the suggestions for further studies were recommended.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.291-298
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• 2019

This study aimed to examine disabled women to determine whether differences existed in parenting stress, resilience, social support, and parenting competency based on the disability type using an latent means analysis. The research data was sampled from 167 mentally disabled women and 132 physically disabled women. Parenting stress and social support had higher latent means in the mentally disabled women. Parenting competence and resilience had higher latent means in the physically disabled women. The results of this study suggested that differentiated, practical intervention approaches should be implemented for each disability type.

• The Korean Journal of Applied Statistics
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• v.30 no.5
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• pp.615-632
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• 2017

Unlike randomized trial, statistical strategies for inferring the unbiased causal relationship are required in the observational studies. The matching with the propensity score is one of the most popular methods to control the confounders in order to evaluate the effect of the treatment on the outcome variable. Recently, new methods for the causal inference in latent class analysis (LCA) have been proposed to estimate the average causal effect (ACE) of the treatment on the latent discrete variable. They have focused on the application study for the real dataset to estimate the ACE in LCA. In practice, however, the true values of the ACE are not known, and it is difficult to evaluate the performance of the estimated the ACE. In this study, we propose a method to generate a synthetic data using the propensity score in the framework of LCA, where treatment and outcome variables are latent. We then propose a new method for estimating the ACE in LCA and evaluate its performance via simulation studies. Furthermore we present an empirical analysis based on data form the 'National Longitudinal Study of Adolescents Health,' where puberty as a latent treatment and substance use as a latent outcome variable.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.206-206
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• 2023

지구온난화로 인한 기후변화에 따라 평균강수량과 증발량이 증가하며 강우지역 집중화와 강우강도가 높아질 가능성이 크다. 우리나라의 경우 협소한 국토면적과 높은 인구밀도로 기후변동의 영향이 크기 때문에 한반도에 적합한 유역규모의 수자원 예측과 대응방안을 마련해야 한다. 이를 위한 수자원 관리를 위해서는 유역에서 강수량, 유출량, 증발량 등의 장기적인 자료가 필요하며 경험식, 물리적 강우-유출 모형 등이 사용되었고, 최근들어 연구의 확장성과 비 선형성 등을 고려하기 위해 딥러닝등 인공지능 기술들이 접목되고 있다. 본 연구에서는 ASOS(동해, 태백)와 AWS(삼척, 신기, 도계) 5곳의 관측소에서 2011년~2020년까지의 일 단위 기상관측자료를 수집하고 WAMIS에서 같은 기간의 오십천 하구 일 유출량 자료를 수집 후 5개 관측소를 기준으로Thiessen 면적비를 적용해 기상자료를 구축했으며 Angstrom & Hargreaves 공식으로 잠재증발산량 산정해 3개의 모델에 각각 기상자료(일 강수량, 최고기온, 최대 순간 풍속, 최저기온, 평균풍속, 평균기온), 일 강수량과 잠재증발산량, 일 강수량 - 잠재증발산량을 학습 후 관측 유출량과 비교결과 기상자료(일 강수량, 최고기온, 최대 순간 풍속, 최저기온, 평균풍속, 평균기온)로 학습한 모델성능이 가장 높아 최적 모델로 선정했으며 일, 월, 연 관측유출량 시계열과 비교했다. 또한 같은 학습자료를 사용해 다층 퍼셉트론(Multi Layer Perceptron, MLP) 앙상블 모델을 구축하여 수자원 분야에서의 인공지능 활용성을 평가했다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.195-195
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• 2020

이 연구는 기후변화 위험에 노출되어 있는 북한에 대한 잠재증발산량의 미래 변화를 전망하였다. 이를 위해 IPCC AR5의 RCP 기후변화 시나리오로부터 모의된 미래 기온자료를 APCC (APEC Climate Center) Integrated Modeling (AIMS)를 사용하여 25개 관측 지점에 대해서 상세화하여, McGuinness-Borne 방법으로 잠재증발산량을 추정하였다. 6개의 성능 지표와 TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution)로 27개 GCMs 간의 과거 기후 재현성을 비교하여, 관측 지점 규모에서 적정 GCM을 선정하였다. 마지막으로 각 지점에서 선정된 대표 시나리오(representative climate change scenarios, RCCS)로 북한 지역의 잠재증발산량의 미래 변화를 3개의 구간(F1: 2011-2040; F2: 2041-2070; F3: 2071-2100)에서 all CCS(climate change scenario)와 비교하고, 미래 변화를 정량적으로 제시하였다. 그 결과 공간 해상도가 더 높은 GCM이 RCCS로 선정되었으며, 미래로 갈수록 잠재증발산량이 증가하리라 전망되었다. 또한, 여름철 잠재증발산량의 모델 간 변동성은 미래 구간에 따라 점진적으로 증가되었고, 연 평균 증발산량은 과거 기후대비 1.4배(F1), 2.0배(F2) 및 2.6배(F3) 증가하였다.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.221-235
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• 2020

This study identified the latent groups according to smartphone addiction tendency and examined the factors affecting the latent group identification. The best-fitting LCA solution had three classes. The first group was 'non-academic stressed group, immersed in smartphone' It was characterized low scores on academic stress and average scores on smartphone addiction tendency. The second group was 'medium level academic stressed group, immersed in smartphone' which scored slightly above average in academic stress and smartphone addiction tendency. The third group was 'medium level academic stressed group, non-immersed in smartphone'. It showed higher scores than average in academic stress, but students with far lower scores in smartphone addiction tendency. Logistic analysis result showed that gender and grade were significant. This study is meaningful in analyzing academic related variable(academic stress) and mental health related variable(smartphone addiction tendency) to classify the groups according to patterns between the two variables and suggest appropriate intervention for each group in a convergence way.

• Journal of the Korean earth science society
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• v.44 no.6
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• pp.540-556
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• 2023

This study analyzed rawinsonde soundings observed during the summer and early fall seasons (June, July, August and September) on the Korean peninsula to examine the utility of the Convective Available Potential Energy (CAPE) and Convective Inhibition (CIN) in predicting the occurrence of deep moist convection and precipitation. Rawinsonde soundings are categorized into two groups based on thermodynamic criteria: high CAPE and low CIN represent a high potential for deep moist convection; low CAPE and high CIN indicate conditions unfavorable for deep convection. A statistical hypothesis test is conducted to determine whether the two groups are significantly different in terms of 12-hour cumulative precipitation, 12-hour mean cloud base, and 12-hour mean mid-level cloud cover. The results, in the case of no-precipitation, reveal statistically significant differences between the two groups, except for the 12-hour mean cloud base during the 21:01-09:00 KST time period. This suggests that the group characterized by high CAPE and low CIN is more conducive to the occurrence of deep moist convection and precipitation than the group with low CAPE and high CIN.