• Korean Journal of Culture and Social Issue
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• v.27 no.3
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• pp.285-303
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• 2021

The purpose of this study was to investigate the reliability and validity of the Korean version of the zero-sum belief scale among a sample of Korean adults. The original scale was developed by Różycka-Tran, Boski, and Wojciszke (2015) based on the Belief in a Zero-Sum Game (BZSG) model. A total of 508 participants (252 college students and 256 non-student adults) completed an online survey comprised of the scales of zero-sum belief, social trust, subjective socioeconomic status, individualistic-collectivistic tendencies, and social comparison orientation. Results of the exploratory factor analysis and the confirmatory factor analysis indicated that zero-sum belief scale has one factor. The internal consistency of the zero-sum belief scale was good. The Zero-sum belief scale did not have a significant relationship with social trust and subjective socioeconomic status. However, the scale was positively associated with vertical individualistic and vertical collectivistic tendencies and negatively associated with horizontal collectivistic tendencies. There was no significant relationship between zero-sum belief and horizontal individualistic tendencies, but there was a significant positive relationship between zero-sum belief and social comparison orientation. However, the results from the college student sample and the non-student adult sample were different. Lastly, this study could facilitate future research on zero-sum belief in South Korea, and future studies are needed to reveal the predictors and effects of zero-sum belief.

• Korean Journal of Culture and Social Issue
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• v.29 no.3
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• pp.321-340
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• 2023

This study was conducted to understand the emotional and situational context where non-suicidal self-injury occurs in everyday life. Sixty adults(age 19-35) completed daily surveys assessing positive and negative emotions, stressful events, self-injury thoughts, and behaviors for two weeks. Using a total of 663 collected entries, we analyzed specific personal emotions and stressful events related to non-suicidal self-injurious thoughts and behaviors. As a result, high negative emotions, low positive emotions, and total stress event scores were significantly related to self-injury thoughts and behaviors. In the model in which both emotion and stress were inserted as predictors, the low level of positive emotion showed a significant related to non-suicidal self-injurious behavior. These results suggest that negative emotion management and overall positive emotion reinforcement are important in emotion regulation intervention for non-suicidal self-injurious patients. The meaning of this study is that it searched for risk factors of non-suicidal injury in everyday life using a short-term longitudinal method.

• Journal of Korean Elementary Science Education
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• v.42 no.3
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• pp.455-466
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• 2023

This study explored the relationship between science academic passion, positive experience about science and scientific creativity in elementary science-gifted students. To do this, 108 science-gifted students from grades 3 to 6 were selected. After conducting the tests on their science academic passion, positive experience about science and scientific creativity, descriptive statistics, correlation analysis, and multiple regression analysis were conducted. The results revealed that the students exhibited relatively high levels of science academic passion and positive experience about science, but their scientific creativity was not relatively high. While there was no statistically significant correlation between the overall science academic passion and scientific creativity, there was a significant negative correlation with scientific creativity in the aspect of 'obsessive passion' of the five subcategories ('importance', 'like', 'time/energy investment', 'harmonious passion', and 'obsessive passion'). Furthermore, the five subcategories, particularly 'like', 'harmonious passion', and 'obsessive passion' were statistically significant predictors of scientific creativity. However, the five subcategories of positive experience about science ('science academic emotion', 'science-related self-concept', 'science learning motivation', 'science-related career aspiration', and 'science-related attitude') did not exhibit statistically significant correlations with scientific creativity and did not had a significant influence on it. Additionally, neither the overall science academic passion nor the overall positive experience about science had a statistically significant effect on scientific creativity. Educational implications of these results were discussed.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.243-252
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• 2019

The purpose of this study was to evaluate the effect of emotional intelligence, empathy ability, and calling consciousness of nursing students on happiness. The survey was conducted 217 nursing students attending in G city from September 3th to September 14th, 2018. Data was collected from self-administered questionnaires about happiness, emotional intelligence, empathy ability and calling consciousness. Data were analyzed by SPSS software version 21 using descriptive statistics (frequency) and analytical statistics (t-test, ANOVA, Pearson's correlation coefficient, linear regression). As a result, Happiness was significantly different by gender, grade, satisfaction in major, collegiate-life satisfaction, personal relationship, health status, perceived economic status. Also happiness showed positive correlation with emotional intelligence, empathy ability, and calling consciousness. Multiple regression analysis revealed that the predictors of happiness were grade, collegiate-life satisfaction, health status, empathy ability, calling consciousness, and emotional intelligence accounting for a total of 49.1% of the variance. Results of this study suggest that it is necessary for nursing students to intervention program aimed at enhance the happiness and it would be effective to focus on strengthening emotional intelligence and empathy ability for them.

• Economic Analysis
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• v.27 no.4
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• pp.1-42
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• 2021

The outlook for Korea's consumer price inflation rate has a profound impact not only on the Bank of Korea's operation of the inflation target system but also on the overall economy, including the bond market and private consumption and investment. This study presents the prediction results of consumer price inflation in Korea for the next three years. To this end, first, model selection is performed based on the out-of-sample predictive power of autoregressive distributed lag (ADL) models, AR models, small-scale vector autoregressive (VAR) models, and large-scale VAR models. Since there are many potential predictors of inflation, a Bayesian variable selection technique was introduced for 12 macro variables, and a precise tuning process was performed to improve predictive power. In the case of the VAR model, the Minnesota prior distribution was applied to solve the dimensional curse problem. Looking at the results of long-term and short-term out-of-sample predictions for the last five years, the ADL model was generally superior to other competing models in both point and distribution prediction. As a result of forecasting through the combination of predictions from the above models, the inflation rate is expected to maintain the current level of around 2% until the second half of 2022, and is expected to drop to around 1% from the first half of 2023.

• Journal of Korean Society of Forest Science
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• v.112 no.1
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• pp.23-31
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• 2023

Predicting forest productivity is essential to evaluate sustainable forest management or to enhance forest ecosystem services. Ordinary least squares (OLS) and partial least squares (PLS) regression models were used to develop predictive models for forest productivity (site index) from the site characteristics and soil profile, along with soil physical and chemical properties, of 112 Quercus mongolica stands. The adjusted coefficients of determination (adjusted R²) in the regression models were higher for the site characteristics and soil profile of B horizon (R²=0.32) and of A horizon (R²=0.29) than for the soil physical and chemical properties of B horizon (R²=0.21) and A horizon (R²=0.09). The PLS models (R²=0.20-0.32) were better predictors of site index than the OLS models (R²=0.09-0.31). These results suggest that the regression models for Q. mongolica can be applied to predict the forest productivity, but new variables may need to be developed to enhance the explanatory power of regression models.

• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.50-60
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• 2022

In this study, habitat suitability was analyzed for three major honey tree species, namely Kalopanax septemlobus, Tilia amurensis, and Styrax obassis, in the Baekdudaegan Mountains using MaxEnt models. The AUC values indicating the prediction accuracies of the models were 0.747, 0.790, and 0.755 for K. septemlobus, T. amurensis, and S. obassis, respectively. The most important variables for K. septemlobus and T. amurensis were elevation, mean annual temperature, and slope, whereas mean annual temperature, elevation, and mean annual precipitation were the most important predictors for S. obassis. For all three studied species, elevation and mean annual temperature were the most important topographic and climatic factors, respectively, indicating that such variables are crucial for explaining species distribution. Honey tree species are essential resources in forest beekeeping, a high value-added process for improving forest income, and this study identified sites with the potential for management of such species in the Baekdudaegan Mountains, where it may be possible to establish a honey forest. However, the accuracy of the models should be improved through comprehensive analysis with abiotic variables, such as soil properties and aridity, which affect the distribution of honey tree species, as well as biotic variables, such as interspecific competition.

• Journal of the Korean Applied Science and Technology
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• v.40 no.2
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• pp.199-209
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• 2023

This study is a descriptive research to identify the factors that influence blood donation intentions of the middle-aged firefighters and prison officer based on Ajzen's (1991) planned behavior theory. The subjects of the study were 223 middle-aged firefighters and prison officer at a fire station and prison located in G City and District B. The Data were analyzed by descriptive statistics and t-test, one-way ANOVA, Pearson's correlation coefficient, Turkey, and multiple regression with the SPSS 21.0 program. There were statistically significant differences in blood donation intention according to the blood donation experience, attempted blood donation within a year, participate plan in blood donation within 3 months. The blood donation intention of middle aged showed significant positive correlations with attitude, subjective norms, and perceived behavioral control towards blood donation. Multiple regression analysis for blood donation intention revealed that the significant predictors were participate plan in blood donation within 3 months, perceived behavior control, subjective norms, attitude towards blood donation, and attempted blood donation within a year. These factors explained 69% of the variance. In order to enhance the middle aged's intention to blood donation, we need a program that can improve middle aged's attitude, subjective norms, perceived behavior control.

• Investigative Magnetic Resonance Imaging
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• v.26 no.1
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• pp.10-19
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• 2022

Purpose: To evaluate whether the added value of contrast leakage information from dynamic susceptibility contrast magnetic resonance imaging (DSC MRI) is a better prognostic imaging biomarker than the cerebral blood volume (CBV) value in distinguishing true progression from pseudoprogression in glioblastoma patients. Materials and Methods: Forty-nine glioblastoma patients who had undergone MRI after concurrent chemoradiotherapy with temozolomide were enrolled in this retrospective study. Twenty features were extracted from the normalized relative CBV (nCBV) and extraction fraction (EF) map of the contrast-enhancing region in each patient. After univariable analysis, we used multivariable stepwise logistic regression analysis to identify significant predictors for differentiating between pseudoprogression and true progression. Receiver operating characteristic (ROC) analysis was employed to determine the best cutoff values for the nCBV and EF features. Finally, leave-one-out cross-validation was used to validate the best predictor in differentiating between true progression and pseudoprogression. Results: Multivariable stepwise logistic regression analysis showed that MGMT (O⁶-methylguanine-DNA methyltransferase) and EF max were independent differentiating variables (P = 0.004 and P = 0.02, respectively). ROC analysis yielded the best cutoff value of 95.75 for the EF max value for differentiating the two groups (sensitivity, 61%; specificity, 84.6%; AUC, 0.681 ± 0.08; 95% CI, 0.524-0.837; P = 0.03). In the leave-one-out cross-validation of the EF max value, the cross-validated values for predicting true progression and pseudoprogression accuracies were 69.4% and 71.4%, respectively. Conclusion: We demonstrated that contrast leakage information parameter from DSC MRI showed significance in differentiating true progression from pseudoprogression in glioblastoma patients.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.5
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• pp.135-142
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• 2016

This study aimed to identify the correlation between internal/external motive, academic failure (emotion, behavior, task preference), depression (depressive emotion, behavioral disorder, loss of interest, self-degradation and physiological symptom), and academic efficacy of elementary school students with underachievement basic learning, and discover the influential variables on internal/external motive, targeting 56 elementary school students with underachievement in third and fifth grade of 10 elementary schools in G metropolitan city. The research conducted T-test to figure out the difference between the children with underachievement by year and carried out theregression analysis to identify the predictors of self-determination motives. First, there was a difference between the third and fifth graders in terms of the external motives. Second, the influential variables for external motives of children with underachievement included depressive emotion, loss of interest and physiological symptom. Therefore, as more third graders with underachievement study under the external motives compared to the fifth graders, it is concluded necessary to adopt a program to reduce the variables for depression that influence the external motives.