• Title/Summary/Keyword: 매개 모델

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The Influence of Maternal Childhood Experiences, Parental Reflection and Parental Role Satisfaction upon Mother's Reaction to Negative Emotions of Preschoolers: Mediated Moderation Effect Verification (어머니의 아동기 수용경험, 부모성찰, 부모역할만족도가 유아의 부정적 정서에 대한 어머니 반응에 미치는 영향: 매개된 조절효과 검증)

  • Oh, ji hyun;Choi, a young
    • Korean Journal of Play Therapy
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    • v.21 no.4
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    • pp.427-448
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    • 2018
  • The study examined the mediated-moderation effect of parental reflection levels from maternal childhood experiences by the parents to mother's reaction to negative emotions of their preschoolers by examining it through the lens of parental role satisfaction. The participants in this study were 327 mothers who and their infants aged 3-6 years. They completed questionnaires on the maternal childhood experiences scale, parental reflection scale, parental role satisfaction scale and mother's reaction to negative emotions of their preschoolers scale. The results of the structural equation model analysis are as follows. First, a mediating model revealed that the relationship between maternal childhood experiences by parents and mother's reactions to negative emotions of their preschoolers was mediated by parental role satisfaction. Second, the results revealed the moderation effect of parents reflection levels on the relationship between maternal childhood experiences by parents and parental role satisfaction. Finally, parental reflection levels were also seen to have a mediated moderation effect of parental reflection level from maternal childhood experiences to mother's reaction to negative emotions of their preschoolers through parental role satisfaction. These results indicate the importance of parental reflection and parental role satisfaction.

The Role of Gender difference and Interpersonal Problems in the relationship between Internal Narcissism and on Middle School Students' SNS Addiction Tendency (내현적 자기애와 SNS 중독경향성의 관계에서 성 차이와 대인관계문제의 조절된 매개효과)

  • Lim, Su Jin;Kim, Yu Yeon
    • Korean Journal of School Psychology
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    • v.17 no.1
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    • pp.109-123
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    • 2020
  • The purpose of this study was to understand path of internal narcissism toward SNS addiction tendency of middle school students. The study intended to test the hypothesis that internal narcissism personality would lead to the SNS addiction tendency through interpersonal problems and that the internal narcissism effect on the interpersonal problems can depend on Gender difference The subjects of the study were 240 middle school students (95 male and 145 female students) in Gwangju area. The descriptive statistics, correlation analysis, and SPSS Macro PROCESS Model were used. The results of the study are as follows. First, there was a significant positive interpersonal problems mediation efffect between inner narcissism and SNS addiction tendency of middle school students. Second, as a result of examining Gender difference moderatiing effect between internal narcissism, and interpersonal problems relationship. according to gender difference statistically significant. Third, Moderated mediation effect of gender difference and interpersonal problems between internal narcissism personality and SNS addiction tendency relationship is statistically significant. Recently, social networking has become a serious problem in our society and it shows the highest rate of addiction in early middle school students. The purpose of this study was to investigate the effects of psychological factors of inner narcissism and interpersonal problems on the SNS addiction tendency, focusing on the gender differences in middle school students, and to provide basic data to prevent adolescent SNS addiction problems have.

Experiences of discrimination and psychological distress of children from multicultural families : Examining the mediating effect of social support (다문화가정 자녀들의 차별경험과 심리적 적응 : 사회적 지지의 매개효과 검증을 중심으로)

  • Kim, Hye mee;Won, Seo jin;Choi, Sun hwa
    • Korean Journal of Social Welfare Studies
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    • v.42 no.1
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    • pp.117-149
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    • 2011
  • This study examined the relationship between discrimination experienced by children of multicultural families and their psychological distress. As new minorities growing up with bicultural identities in Korean society, children from multicultural families are often exposed to racial discrimination and such experience often acts as a stressor in their everyday life. In order to examine the effect of discrimination on their psychological distress as well as the role of social support, a survey was conducted in 25 elementary schools in Daejeon city and Chungnam and Chungbuk province. Results indicated that children's experiences of discrimination significantly affected their psychological distress level that the more they were exposed to discrimination, the higher levels of depression and anxiety they experienced. Among social support domains, only peer support was found to be significantly related to both the experience of discrimination and their depression and anxiety levels. Supporting the social support deterioration model, the findings showed that more experiences of discrimination led to reduced peer support which in turn, increased the likelihood of being depressed and anxious. Peer support was also significant in partially mediating the discrimination-psychological distress relationship. Implications for social work practice with children from multicultural families are provided.

Mediating Effect of Depression on the Relationship between Academic Burnout and Clinical Practice Stress among Nursing Students in the Post-COVID-19 Era (COVID-19 이후 간호대학생의 학업소진과 임상실습 스트레스 간의 관계에서 우울의 매개효과)

  • Jin-Hee Jeong;Mi- Hyeon Park
    • Journal of Practical Engineering Education
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    • v.16 no.5_spc
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    • pp.793-802
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    • 2024
  • This study aimed to test a hypothetical model explaining the mediating effect of depression on the relationship between academic burnout and clinical practice stress among nursing students in the post-COVID-19 era. A cross-sectional survey was conducted with 200 senior nursing students from two universities in C province, South Korea, from December 1 to 9, 2023. Data were analyzed using descriptive statistics, Pearson's correlation, and structural equation modeling with SPSS/WIN 26.0 and AMOS 26.0. The hypothesized model explained 75.6% of the variance in clinical practice stress among nursing students. Depression did not mediate the relationship between academic burnout and clinical practice stress (β=.06, p=.160). However, both academic burnout (β=.77, p=.004) and depression (β=.23, p=.005) directly affected clinical practice stress. In the post-COVID-19 era, academic burnout significantly influences nursing students' clinical practice stress. While depression does not mediate this relationship, it directly affects clinical practice stress. These findings suggest the need for interventions focusing on reducing academic burnout through mentoring programs and stress management strategies, alongside depression management, to alleviate clinical practice stress among nursing students. Future nursing education should implement an integrated approach to manage students' academic burden and support mental health following clinical practice.

A study on the analysis of the failure probability based on the concept of loss probability (결손확률모델에 의한 파손확률 해석에 관한 연구)

  • 신효철
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.15 no.6
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    • pp.2037-2047
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    • 1991
  • Strength is not simply a single given value but rather is a statistical one with certain distribution functions. This is because it is affected by many unknown factors such as size, shape, stress distribution, and combined stresses. In this study, a model of loss probability is proposed in view of the fact that one of the fundamental configuration of nature is hexagonal, for example, the shapes of lattice unit, grain, and so on. The model sues the concept of loss of certain element in place of Jayatilaka-Trustrum's length and angle of cracks. Using this model, the loss probability due to each loss of certain elements is obtained. Then, the maximum principal stress is calculated by the finite element method at the centroid of the elements under the tensile load for the 4,095 models of analysis. Finally, the failure probability of the brittle materials is obtained by multiplying the loss probability by the ratio of the maximum principal stress to theoretical tensile strength. Comparison of the result of the Jayatilaka-Trustrum's model and the proposed model shows that the failure probabilities by the two methods are in good agreement. Further, it is shown that the parametric relationship of semi-crack lengths for various degrees of birittleness can be determined. Therefore, the analysis of the failure probability suing the proposed model is shown to be promising as a new method for the study of the failure probability of birttle materials.

Calculation of Damping Ratio Using Non-Linear Soil Models and Comparison between Measured and Predicted Data (흙의 비선형 모델을 이용한 감쇠비 산정 및 비교)

  • Lee, Hyoung-Kyu;Bae, Yoon-Shin
    • Journal of the Korean Geosynthetics Society
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    • v.10 no.2
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    • pp.21-28
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    • 2011
  • Several theoretical soil nonlinear models to predict damping ratio, which is one of the typical dynamic properties of soils, it is impractical to predict damping ratio. The resonant column and torsional shear test(RC-TS) is used to represent the dynamic behavior of soils from intermediate to medium shear strains. A limitation of RC-TS is measure precise shear strain in large strains and the modified equivalent radius($R_{eq}$) was obtained using both modified hyperbolic model and Ramberg-Osgood model. Bonneville clays were tested using RC-TS test to obtain rotation and torque. The measured rotation and torque were then compared with calculated rotation and torque using curve-fitting method. Then, the nonlinear soil model parameters were obtained and the equivalent radius was calculated using the model parameters.

An Empirical Study on Open Government Data: Focusing on ODB and OUR Index (공공데이터 개방에 관한 실증연구: ODB와 OUR Index를 중심으로)

  • Seo, Hyung-Jun
    • Informatization Policy
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    • v.24 no.1
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    • pp.48-78
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    • 2017
  • In this study, to reveal determinant factors for degree of open data it conduct empirical analysis for ODB(Open Data Barometer) and OUR Index(Open, Useful, Reusable Government Data Index) that are global open data index among 26 countries. As a result of multiple regression analysis, First focus is on ODB. In the Model 1 with independent variables, e-Government, SW Market size and government efficacy are significantly positive effect for ODB. In the Model 2 with independent variables and moderating variable, e-Government, SW market size and social capital are significantly positive effect for ODB. In the Model 3 with independent variables, moderating variable and interaction term, e-Government and social capital are significantly positive effect for ODB. Second focus is on OUR Index. In the Model 1 and the Model 2 e-Government is significantly positive effect for OUR Index. In the Model, e-Government and SW market size ${\times}$ social capital(interaction term) are significantly positive effect for OUR Index. And in path analysis, only ODB alternative model show Government efficacy with social capital has full mediation effect. In OUR Index alternative model there is no mediation effect with social capital.

Analysis of Technical Trend for Drilling ROP Optimization with Artificial Intelligent (인공지능을 적용한 시추 굴진율 최적화 기술 동향 분석)

  • Jung, Ji-hun;Han, Dong-kwon;Kim, Sang-ho;Yoo, In-hang;Kwon, Sun-il
    • Journal of the Korean Institute of Gas
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    • v.24 no.1
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    • pp.66-75
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    • 2020
  • Drilling operation is the most important and costly essential work in oil and gas exploration and development. Therefore, the studies about rate of penetration have been carried out continuously to improve drilling efficiency. In recent years, data-driven models have been developed by various researchers to overcome disadvantages of traditional mathematical models. For the data-driven models, selecting proper algorithms and parameters is very important. In addition, data-driven models should be retrained in real-time during continuous drilling operations in order to improve the model performance. In this paper, the latest studies are investigated to provide information about algorithms, drilling parameters and model retraining intervals that used in drilling optimization.

Parametric Sensitivity Analysis and Damage Estimation for BLEVE and Fireball (BLEVE와 Fireball의 매개변수 민감도분석 및 피해 산정)

  • Kim Hyung Seok;Kim In Tae;Song Kwang Ho;Ko Jae Wook;Kim In Won
    • Journal of the Korean Institute of Gas
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    • v.2 no.3
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    • pp.25-36
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    • 1998
  • Explosion and fires can occur in all segments of chemical and petroleum industries because of complexity of process, usage and storage of flammable and reactive chemicals, and operating conditions of high pressure and temperatures. Especially chemical plants have high possibility of the occurrence of BLEVE(Boiling Liquid Expanding Vapor Explosion)and Fireball. In this study, a computer program was developed for the effect assessment of BLEVE and Fireball. BLEVE was analysed by three explosion models of physical explosion model, isothermal expansion model and adiabatic expansion model and Fireball using solid model. The parametric sensitivity analysis has been done for the models of BLEVE and Fireball. The damage by BLEVE and Fireball of Benzene and Toluene and m-Xylene were estimated.

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Recurrent Neural Network Model for Predicting Tight Oil Productivity Using Type Curve Parameters for Each Cluster (군집 별 표준곡선 매개변수를 이용한 치밀오일 생산성 예측 순환신경망 모델)

  • Han, Dong-kwon;Kim, Min-soo;Kwon, Sun-il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.297-299
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    • 2021
  • Predicting future productivity of tight oil is an important task for analyzing residual oil recovery and reservoir behavior. In general, productivity prediction is made using the decline curve analysis(DCA). In this study, we intend to propose an effective model for predicting future production using deep learning-based recurrent neural networks(RNN), LSTM, and GRU algorithms. As input variables, the main parameters are oil, gas, water, which are calculated during the production of tight oil, and the type curve calculated through various cluster analyzes. the output variable is the monthly oil production. Existing empirical models, the DCA and RNN models, were compared, and an optimal model was derived through hyperparameter tuning to improve the predictive performance of the model.

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