• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.65-70
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• 2018

Programming ability becomes an essential ability for elementary and secondary school students as well as computer science major students in modern information society. Thus, improving programming ability has long been a research project for computer scientists and teachers in IT areas. There have been many research works for improving programming ability in various ways. At first glance, emotional intelligence is generally known as humanistic intelligence, and nothing to do with computer areas. In the recent works, emotional intelligence has a correlation with various subjects. The purpose of this paper is to analyze correlation between emotional intelligence and programing ability. For this purpose, extensive survey works are carried out and statistical results are analyzed. Based on statistical analysis, it is concluded that there is a correlation between emotional intelligence and programming ability.

• Journal of the Korean housing association
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• v.15 no.1
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• pp.121-128
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• 2004

The purpose of this study is to investigate the correlation between the affective responses and residents' satisfaction in apartment housing estates. This study was conducted to empirically identify the effect of physical contents of apartment buildings on the affective response and satisfaction of residents. The area for evaluation was limited to four apartment buildings in Daegu, and the subjects for evaluation were also limited to a group of residents living at the four apartment buildings. The correlation between the satisfaction with the physical elements of each apartment and the affective factors was analyzed. The analysis showed that there was mostly a statistically significant negative correlation. This result also suggests that the satisfaction with the physical elements may vary depending on the affective attitude. SPSSWIN, a statistical program was used for analysis.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.2
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• pp.31-38
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• 2019

Purpose : This study aimed to investigate the correlation between social participation and interpersonal relationships after stroke. Methods : Scores for the Korean version of the Reintegration to Normal Living Index (K-RNLI) and the Relationship Change Scale (RCS) were determined using a face-to-face test for 98 patients who had a stroke between September 3, 2018, and January 10, 2019. SPSS 22.0 was used for the analysis, and the correlation coefficient between social participation and interpersonal relationships was determined. Results : According to the patients' general characteristics, social participation was related to sex, type of lesion, and affected side, and interpersonal relationships showed a significant difference with respect to the affected side (p<.05). The analysis of social participation and interpersonal relationships of the subjects revealed a high correlation with total score (r=.364; p<.01), and all the items showed correlations except sensitivity (p<.05). Conclusion : Social participation and interpersonal relationships are important factors for reintegrating stroke patients into the community. The results of this study suggest a clinical basis for rehabilitation interventions in stroke patients.

• Nuclear Engineering and Technology
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• v.54 no.7
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• pp.2510-2518
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• 2022

The main purpose of collecting and analyzing operating experience events is to look for insights to improve safety. The underlying assumption is the correlation and causality between events with different safety significances. The analysis of this assumption could be valuable to optimize operating experience feedback programs and to enhance safety. This paper analyses the correlation between events with different safety significances. Groups of events from six nuclear energy related databases are considered. The findings are that a correlation exists but with various levels and not as large or consistent as might be expected across different databases. These results might be the basis for further work to analysis causality, to find out how a similarity in causes influences the correlation, and finally to improve the operating experience program.

• International Journal of Highway Engineering
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• v.17 no.1
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• pp.51-58
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• 2015

PURPOSES : The objective of this study is to compare the densities of asphalt pavements measured both in the field and in the laboratory, and also to evaluate the applicability of field density measuring equipment, such as the pavement quality indicator (PQI), by using statistical analysis. METHODS : For the statistical analysis of the density measured from asphalt pavement, student t-tests and a coefficient of correlation are investigated. In order to compare the measured densities, two test sections are prepared, with a base layer and an intermediate layer constructed. Each test section consists of 9 smaller sections. During construction, the field densities are measured for both layers (base and intermediate) in each section. Core samples are extracted from similar regions in each section, and moved to the laboratory for density measurements. All the measured densities from both the field and laboratory observations are analyzed using the selected statistical analysis methods. RESULTS AND CONCLUSION : Based on an analysis of measured densities, analysis using a correlation coefficient is found to be more accurate than analysis using a student t-test. The correlation coefficient (R) between the field density and the core density is found to be very low with a confidence interval less than 0.5. This may be the result of inappropriate calibration of the measuring equipment. Additionally, the correlation coefficient for the base layer is higher than for the intermediate layer. Finally, we observe that prior to using the density measuring equipment in the field, a calibration process should be performed to ensure the reliability of measured field densities.

• Women's Health Nursing
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• v.17 no.2
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• pp.187-194
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• 2011

Purpose: This study investigated the statistical methods and the results had reported correlation/regression analysis in the studies of Korean Journal of Women Health Nursing (KJWHN). Methods: We reviewed 45 studies using correlation/regression analysis for the suitability of the statistical methods and the research purposes, the criteria for analysis of figures, tables and charts had published in the KJWHN from vol 13 (1) in 2007 to vol 15 (4) in 2009. Results: Forty three studies were fitted to their statistical methodology and their research purposes. Eleven studies considered the minimum sample size. Fourteen regression studies used multiple regression and 12 studies used forward method for variable entry. Only one study among the 17 regression studies accomplished scatter plots and residuals examination. Sixteen studies in correlation studies and six studies in regression studies showed some errors in either the title, variables, category of figures, tables and charts. In the regression study, all reported $R^2$ and ${\beta}$ values except one. Conclusion: It was found that there were still statistical errors or articulation errors in the statistical analysis. All reviewers need to be reviewed more closely for detecting errors not only during reviewing process of the manuscript but also periodic publication for the quality of this academic journal.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.10 no.2
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• pp.132-150
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• 2006

Objectives : The objective is that we measure and analyze Pulse-Respiration Ratio and Body Composition Analysis to study the correlation between both. Methods : First, after subjects take a rest over 10 minutes, we measure their electrocardiogram and respiration pattern through which we take average peak interval to calculate an average pulse cycle and a respiration cycle. An average respiration cycle divided by an average Pulse Rate gives Pulse-Respiration Ratio. Next, we draw out 22 Body Composition Analysis indicators by using In-Body 720 model. Last, we analyze and take statistics on them by using SPSS 13.0 program. Results : Negative is the correlation between P/R Ratio and Body Composition Analysis indicator like fatness degree, body fat volume, body fat rate, abdominal fatness, BMI. Conclusions : 1. The higher P/R Ratio the more likely to be thin, the lower P/R Ratio the more likely to be fat. 2. We separately analyze P/R Ratio depending on each breathing frequency and pulse frequency to find out that breathing frequency has great influence and that breathing frequency decides the fatness degree. 3. In study on the correlation between P/R Ratio and Body Composition Analysis, fatness degree, in-body fat volume, in-body fat rate, BMI are the related indicators, which shows the connection with the fatness indicators. 4. In study on the correlation between Han-Yeol [寒熱] grade and Body Composition Analysis indicators, the result is that Han[寒] has no connection and that only Yeol[熱] grade has something to do with it, which means the higher heat symptom subjects have, the more basic metabolism volume and muscular build they have.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.7
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• pp.1593-1598
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• 2015

In this paper, we analyze the correlation between social sentiment and stock prices. Polarity analysis is conducted for the stock prices plunging and soaring duration. And it is performed for its prior period. Using these results, we analyze the relationship between the social sentiment and stock prices. We collected the past data of Dow Jones Industrial Average and detected the period of plunging and soaring. On the basis of the detected time, the New York Times articles are collected and polarity analysis is conducted. Frequency of negative terms is decreased and it of positive terms is increased during the stock prices soaring. There is a little difference between the frequency of negative and positive terms in the previous stock prices plunging or soaring. According to the correlation analysis, it shows a positive correlation between social sentiment and stock prices in the period of plunging and soaring. A significant correlation is not appeared in the previous stock prices plunging or soaring.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1A
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• pp.21-33
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• 2006

The reliability analysis can be conducted more effectively by formulating the stochastic finite element method suitable for the reliability theory about the cable stayed bridge. After conducting the initial equilibrium analysis of the cable stayed bridge, the program which can conduct the linear and nonlinear stochastic finite element analysis using the perturbation method and the reliability analysis considered to the correlation of the random variable is developed. Using the results of this program about the cable stayed bridge, the characteristic of the node displacement, element force and cable tension according to the correlation of the random variable is investigated quantitatively. Also the reliability index and the failure probability are examined by the compounding the correlation of the random variable.

• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.6
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• pp.71-81
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• 2024

This study investigates the relationship between Chl-a concentration and various water quality factors, including temperature, nutrients (TN, TP), TOC, COD, and BOD, in the Namgang Dam region from 2007 to 2023. The correlation analysis between Chl-a and water quality parameters was conducted using the Pearson method, and the cluster analysis of Chl-a was performed using the average linkage method. At Namgang Dam Site 1, Chl-a concentration shows positive correlations with TOC (0.300), TP (0.302), BOD (0.272), and water temperature (0.309). At Site 2, Chl-a shows positive correlations with water temperature (0.273), COD (0.229), TP (0.379), and TOC (0.295). At Site 3, Chl-a concentration has significant positive correlations with COD (0.265), TOC (0.304), TP (0.277), and water temperature (0.302), indicating that these factors play important roles in the growth of phytoplankton. A strong correlation between Chl-a and both TOC and TP, with TP being a major contributor to algal growth, suggesting that phosphorus is a key limiting factor. Conversely, dissolved oxygen (DO) showed a negative correlation, indicating that as algal growth progresses, DO levels decrease, potentially impacting aquatic health negatively. Spatial distribution analysis showed that Chl-a levels were lower upstream and increased significantly downstream, influenced by reduced flow, higher temperatures, and nutrient inflow from agricultural and industrial activities. Dendrogram analysis indicated that certain sites along the Deokcheon and Namgang rivers exhibited similar Chl-a patterns, forming clusters, while the Geungho River site was distinct, suggesting unique water quality characteristics. These findings provide critical insights for predicting and managing algal blooms in the Namgang Dam area, emphasizing the importance of tailored regional water quality management strategies.