• Korean Journal of Clinical Laboratory Science
• /
• v.55 no.4
• /
• pp.269-275
• /
• 2023

Echocardiography is a non-invasive method that is useful for diagnosing pulmonary arterial hypertension. It is known that echocardiography depends on the experience, education, and knowledge level of the cardiac sonographer. This study aimed to compare the agreement values between cardiac sonographer with different practical experiences in the diagnosis of pulmonary arterial hypertension using echocardiography. Three readers re-evaluated the echocardiography images of 148 patients who were diagnosed with pulmonary arterial hypertension at the S Medical Center from January 1, 2020, to December 31, 2020. The echocardiography values measured by each reader were compared and analyzed. The results of the analysis of discrete variables revealed that the agreement values of the cardiac sonographers showed excellent consistency for both reader 3 and the cardiologist group, indicating that more experience leads to better predictive accuracy for diagnosis of the condition. Furthermore, in terms of continuous variables, all the cardiac sonographer demonstrated good agreement in the measured values of the right atrium, which was easier to assess and clearer than the structurally complex measurements of the right ventricle. This study represents the first analysis in Korea of the agreement values measured by medical technologists who are cardiac sonographers.

• Journal of Digital Convergence
• /
• v.22 no.3
• /
• pp.1-7
• /
• 2024

This study provides an in-depth analysis of the impact of the deepening reform and opening-up policies announced at the 20th CPC Central Committee's Plenary Session, particularly focusing on the <Foreign Investment Law> and its effects on the tax decisions and organizational restructuring of Korean companies operating in China. Using a comprehensive literature review and policy analysis, the study compares the dual legal structure and tax differences before and after the implementation of the law, assessing how legal unification has influenced the organizational forms and tax strategies of Korean companies. The findings indicate that the <Foreign Investment Law> has played a crucial role in enhancing legal consistency and tax equity between foreign-invested enterprises and domestic enterprises, thereby enabling Korean companies to manage their operations in the Chinese market more stably and efficiently. Additionally, in the context of the ongoing U.S.-China trade conflict, the law's provision of national treatment and tax benefits has proven to be a significant factor in the survival strategy of Korean companies in China. Future research should focus on empirically examining the long-term effects of this law and its impact on actual corporate performance.

• Journal of The Korean Association For Science Education
• /
• v.39 no.5
• /
• pp.599-611
• /
• 2019

The purpose of this study is to analyze the systems thinking level of pre-service teachers using rubrics of evaluating systems thinking. For this purpose, systems thinking level model, which can be applied to education or science education, was selected through literature analysis. Eight pre-service teachers' systems thinking were investigated through the systems thinking analysis tool used in domestic research. The systems thinking presented by the pre-service teachers were transformed into the box type causal map using Sibley et al. (2007). Two researchers analyzed the systems thinking using rubrics of evaluating systems thinking. For data analysis, quantitative analysis was performed through correlation analysis using SPSS. In addition, the qualitative analysis of the box type causal map was conducted and the consistency with the quantitative analysis results was verified. The results indicated that the correlation between the 5-Likert systems thinking measurement instrument and the rubrics score was highly correlated with the Pearson product-moment of .762 (p <.05). In the hierarchical correlation of the systems thinking level, the STH model was analyzed with a very high correlation with the Pearson product-moment of .722~.791, and 4-step model was analyzed .381~.730. The qualitative analysis suggested the concept to be included in the low level of system thinking, the higher the level, the less the concept that is presented properly. In conclusion, the level of systems thinking can be derived as a result of research that there is clearly, a hierarchical part. Based on the results of this study, it is necessary to develop a systems thinking level model applicable to science education and develop and validate items that can measure the level of systems thinking.

• Journal of Korea Port Economic Association
• /
• v.27 no.1
• /
• pp.185-212
• /
• 2011

The purpose of this paper is to show the empirical analysis way for measuring the seaport efficiency by using the previous radial model and the newly modified non-radial models( panel additive model, panel RAM model, and panel SBM model)with Spearman rank order correlation coefficient(SROCC) for 20 Korean ports during 11 years(1997-2007) for 1 inputs(port investment amount) and 4 outputs(Number of Ship Calls, Port Revenue, Customer Satisfaction Score for Port Service and Container Cargo Throughput). The main empirical results of this paper are as follows. First, consistency ratio of SROCC in terms of efficiency scores between radial and panel Additive model was over about 76% and overall consistency ratio was about 71.6%. Second, an efficiency of panel RAM model was higher than that of radial model with similarity. However, panel SBM model shows the very similar efficiency scores with panel radial model. Third, the slack size of radial model is smaller compared to non-radial model. Models' ranking orders in terms of efficiency scores, number of efficient ports are panel RAM model, panel SBM model, and radial model. The order from the minimum efficiency scores was the same order like just before. The policy implication to the Korean seaports and planner is that Korean seaports should introduce the new methods like non-radial models(panel additive model, panel RAM model, and panel SBM model) for measuring the port performance.

• Korean Journal of Psychosomatic Medicine
• /
• v.26 no.1
• /
• pp.35-43
• /
• 2018

Objectives : Effects of multiple trauma are complex and extend beyond core PTSD symptoms. However, few psychological instruments for trauma assessment address this issue of symptom complexity. The Trauma Symptom Checklist-40 (TSC-40) is a self-report scale that assesses wide range of symptoms associated with childhood or adult traumatic experience. The purpose of the present study was to evaluate the validity of the Korean Version of the TSC-40 in a sample of psychiatric outpatients. Methods : Data of 367 treatment-seeking patients with DSM-IV diagnoses were obtained from an outpatient department of psychiatric unit at a university hospital. The diagnoses were anxiety disorder, posttraumatic stress disorder, depressive disorder, adjustment disorder and others. Included in the psychometric data were the TSC-40, the Life events checklist, the Impact of Event Scale-Revised, the Zung's Self-report Depression Scale, and the Zung's Self-report Anxiety Scale. Cronbach's ${\alpha}$ for internal consistency were calculated. Convergent and concurrent validity was approached with correlation between the TSC-40 and other scales (PTSD, anxiety and depression). Results : Exploratory factor analysis of the Korean Version of TSC-40 extracted seven-factor structure accounted for 59.55% of total variance that was contextually similar to a six-factor structure and five-factor structure of the original English version. The Korean Version of TSC-40 demonstrated a high level of internal consistency. (Cronbach's ${\alpha}=0.94$) and good concurrent and convergent validity with another PTSD scale and anxiety and depression scales. Conclusions : Excellent construct validity of The Korean Version of TSC-40 was proved in this study. And subtle difference in the factor structure may reflect the cultural issues and the sample characteristics such as heterogeneous clinical population (including non-trauma related disorders) and outpatient status. Overall, this study demonstrated that the Korean version of TSC-40 is psychometrically sound and can be used for Korean clinical population.

• Sleep Medicine and Psychophysiology
• /
• v.10 no.1
• /
• pp.39-51
• /
• 2003

Objectives: The Profile of Mood States (POMS) has been used broadly and frequently in various medical studies with various subjects. For the development and application of the Korean edition of POMS, called K-POMS, we translated POMS into Korean and then evaluated the reliability and validity of K-POMS. Methods: The subjects were 161 male students with a mean age of 18.1 years (15-30) and 244 female students with a mean age of 16.6 years (14-23). They were requested to perform K-POMS and SCL-90-R (Korean version) at the same time. Means, reliability coefficients, and test-retest correlations of K-POMS were calculated. Content validities, correlations with SCL-90-R, and discrimination validities in comparison with 76 depressive patients were obtained, and factor analyses were carried out. Results: Mean scores of Total Mood Disturbance (TMD) and some subscales (T, F, C, V factor) showed a significant difference between male and female students. The internal consistency coefficient ($\alpha$) of the total 65 items was 0.93, and ranged from 0.67 to 0.90 for subscales. Test-retest correlations of 43 subjects ranged from 0.27 to 0.63. Seven psychiatrists rated the properness of the content of each item as more than moderate degree (mean scale points=2.66, in the range of 0 to 4). Every subscale of KPOMS exhibited significant correlation with the matching subscale of SCL-90-R. Mean scores of K-POMS of the total 405 subjects were significantly different from those of the 76 depressive subjects after age correction. Six factors were extracted, accounting for 51.2% of total variance. Factor 6 consisted of 6 items which came from various subscales of POMS and represented "uncertainty and helplessness," which may be somewhat different to depression or sadness proper. Conclusion: The validity and reliability of K-POMS could be confirmed. The significant difference in K-POMS scores between depressive subjects and normal subjects suggests that K-POMS can be used clinically for the evaluation and screening of depression. The main structure of K-POMS is very similar to that of POMS, except the Confusion-Bewilderment factor which shows weak factor consistency in K-POMS. This may reflect some emotional characteristic of Koreans such as an undifferentiated aspect of cognitive efficiency. The sixth factor newly extracted from K-POMS also may be indicative of an unique emotional aspect of young Koreans.

• Child Health Nursing Research
• /
• v.19 no.2
• /
• pp.85-93
• /
• 2013

Purpose: The study purposes were to describe the process of developing the Korean versions of the Six Dimension Scale of Nursing Performance (Six-D) and Student Nurse Stress Index (SNSI) and psychometric evaluation of the two measurements. Methods: This was a methodology study using a descriptive cross-sectional design with 51 nursing students in 4th year of university. Internal consistency reliability was assessed using Cronbach alphas. Construct validity was determined by exploring correlations among Six-D, SNSI, objective structured clinical examination (OSCE), self-efficacy and grade point average (GPA). Results: Internal consistency reliability of Six-D and SNSI was acceptable with Cronbach's ${\alpha}$ of .95 and .82. Correlation analysis to determine construct validity revealed that Six-D presented positive correlations with OSCE (r=.109~.272) and self-efficacy (r=.005~.161) and negative correlation with GPA (r=-.246~-.394), although all were not statistically significant. SNSI presented all negative correlations with OSCE (r= -.007~-.238), self-efficacy (r=-.246~-.394), and GPA (r=-.092~-.426) and were mostly statistically significant except OSCE. Conclusion: Six-D needs more evidence to confirm validity to predict observed clinical competency and theoretical relationships with self-efficacy and GPA. However, SNSI presented trends of expected relationships with relevant variables. Therefore, further research is recommended in testing validity of Six-D with other student populations.

• Journal of Gifted/Talented Education
• /
• v.23 no.1
• /
• pp.109-128
• /
• 2013

The purpose of this study is to verify the validity of KEDI Leadership Inventory (Simplified) for elementary and secondary school student. The existing Leadership Inventory is outdated by excessive or insufficient items. To verify reliability and validity of this KEDI Leadership Inventory (Simplified), we analyze internal consistency of scale for reliability and construct validity, convergent and discriminative validity. criterion-related validity. The internal consistency of the scale is relatively high from .610 to .838 for elementary school student, and from .734 to .936 for secondary school student To verify construct validity, we analyze a confirmatory factor analysis using AMOS whether revealed that the structural equation model including 5 construct validity in KEDI Leadership Inventory(Simplified) showed fit index at a satisfactory level as follows. The major fit indexes are showed as follows; CFI (.954), TLI (.943), RMSEA (.068) in the scale for elementary school student, CFI (.935), TLI (.915), RMSEA (.070) in the scale for secondary school student. Futhermore, to secure criterion-related validity, this KEDI Leadership Inventory(Simplified) showed significant correlations with student's leader position in their classroom for r=.358 (p<.01), and gifted education students are significantly higher .50 than no gifted student. This KEDI Leadership Inventory (Sim'plified) is made up of parsimonious 20 items, so that teachers can be convenient to identify intra-inter personal leadership characteristics of a student and recommend the student for gifted education institution.

• The Journal of Korean Academy of Sensory Integration
• /
• v.16 no.3
• /
• pp.34-49
• /
• 2018

Objective : This study aimed to examine the psychometric properties of Korean version of Pediatric Volitional Questionnaire (PVQ-K) using classical test theory. Methods : For the translation of Pediatric Volitional Questionnaire (PVQ), as recommended in the literature, four-stage translation method was used. For the psychometric properties of Korean version of the Pediatric Volitional Questionnaire (PVQ-K), internal consistency reliability, content validity, and construct validity of the test using the known groups method and convergent and divergent methods were examined. For the recruitment of participants, a convenience sampling method is used. Participants of this study were 10 children with neuro-developmental disabilities hospitalized two different rehabilitations center and 10 children with typical development living in Daejeon, South Korea. All 20 participants were in aged from two to five years. Results : In terms of the content validity index, it was over 0.78, confirmed by nine experts of children development. PVQ-K successfully discriminated the scores of children with typical development from those with neurodevelopmental disabilities (p < .05). It is found that there is significant correlations between achievement stage of PVQ-K and the Korean Developmental Screening Test for Infants & Children (K-DTS)(.652 ~ .799 for subcategory, .706 for total scale). The internal consistency was .944 (Cronbach's ${\alpha}$). In qualitative content analysis, it was examined that how Korean children behave and respond in the environment, and how children's volition was strengthened or weakened by the environment. Conclusion : The results propose that PVQ-K can be a useful occupation-focused measure. This study recommend further study on PVQ-K with larger samples combined with the item-response theory approach.

• Journal of Intelligence and Information Systems
• /
• v.28 no.1
• /
• pp.263-286
• /
• 2022

This study acquires NBA statistical information for a total of 32 years from 1990 to 2022 using web crawling, observes variables of interest through exploratory data analysis, and generates related derived variables. Unused variables were removed through a purification process on the input data, and correlation analysis, t-test, and ANOVA were performed on the remaining variables. For the variable of interest, the difference in the mean between the groups that advanced to the playoffs and did not advance to the playoffs was tested, and then to compensate for this, the average difference between the three groups (higher/middle/lower) based on ranking was reconfirmed. Of the input data, only this year's season data was used as a test set, and 5-fold cross-validation was performed by dividing the training set and the validation set for model training. The overfitting problem was solved by comparing the cross-validation result and the final analysis result using the test set to confirm that there was no difference in the performance matrix. Because the quality level of the raw data is high and the statistical assumptions are satisfied, most of the models showed good results despite the small data set. This study not only predicts NBA game results or classifies whether or not to advance to the playoffs using machine learning, but also examines whether the variables of interest are included in the major variables with high importance by understanding the importance of input attribute. Through the visualization of SHAP value, it was possible to overcome the limitation that could not be interpreted only with the result of feature importance, and to compensate for the lack of consistency in the importance calculation in the process of entering/removing variables. It was found that a number of variables related to three points and errors classified as subjects of interest in this study were included in the major variables affecting advancing to the playoffs in the NBA. Although this study is similar in that it includes topics such as match results, playoffs, and championship predictions, which have been dealt with in the existing sports data analysis field, and comparatively analyzed several machine learning models for analysis, there is a difference in that the interest features are set in advance and statistically verified, so that it is compared with the machine learning analysis result. Also, it was differentiated from existing studies by presenting explanatory visualization results using SHAP, one of the XAI models.