• Journal of the Korean Society of Clothing and Textiles
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• v.13 no.1 s.29
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• pp.67-77
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• 1989

The purposes of the study were to compare the characteristics among five segments of the population (innovative communicators, innovators, opinion leaders, followers, indifferents) which were divided according to their fashion opinion leadersship and innovativeness. Thirty-one variables (thirteen fashion-related variables, five social variables, nine psychological variables, four demographic variables) were included in the analysis (analysis of variance, chi-square test). Data were obtained from 446 women living in Seoul area by self-administered questionnaire. The results of the study were as follows: there were significant differences among groups in most of fashion-related variables (fashion interest and clothing importance, four dimensions of clothing values, marketer-dominated and neutral information sources) and psychological variables (eight self-image variables) and in some of social and demographic variables (social activity, social stratum, education).

• Journal of Korean Society for Atmospheric Environment
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• v.27 no.3
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• pp.358-366
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• 2011

The purpose of this study was to analyze the monthly and seasonal PM10 data using the Autoregressive Error (ARE) model at the southern part of the Gyeonggi-Do, Pyeongtaek monitoring site in Korea. In the ARE model, six meteorological variables and four pollution variables are used as the explanatory variables. The six meteorological variables are daily maximum temperature, wind speed, amount of cloud, relative humidity, rainfall, and global radiation. The four air pollution variables are sulfur dioxide ($SO_2$), nitrogen dioxide ($NO_2$), carbon monoxide (CO), and ozone ($O_3$). The result shows that monthly ARE models explained about 17~49% of the PM10 concentration. However, the ARE model could be improved if we add the more explanatory variables in the model.

• Journal of Families and Better Life
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• v.6 no.1
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• pp.131-148
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• 1988

The purpose of this study is to find out influential variables related to Home Management Behavioral Pattern. This study focuses on the following aspects: 1) to find out which variables of family environmental variables(ie, home makers' age, level of education, duration of marriage, number of children, home makers' employment, socioeconomic status) of psychological variables(ie, family communication the marital happiness) have significant effect on home management behavioral patterns. 2) to find out which variables of family environmental variables have significant effects on family communication and the marital happiness. 3) to identify the relationship between home management behavioral patterns and psychological variables. 4) to find out variables which have independently significant effects on home management behavioral patterns.

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.4189-4200
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• 2021

In this study, the relationship between the environmental radiation dose rate and meteorological variables was investigated with multiple regression analysis and big data of those variables. The environmental radiation dose rate and 36 different meteorological variables were measured on Ulleung Island, Republic of Korea, from 2011 to 2015. Not all meteorological variables were used in the regression analysis because the different meteorological variables significantly affect the environmental radiation dose rate during different periods, and the degree of influence changes with time. By applying the Pearson correlation analysis and stepwise selection methods to the big dataset, the major meteorological variables influencing the environmental radiation dose rate were identified, which were then used as the independent variables for the regression model. Subsequently, multiple regression models for the monthly datasets and dataset of the entire period were developed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.173-178
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• 2000

Subjective correspondence among visual variables, auditory variables and vibratory feedback to a hand was experimentally examined to improve usability of a remote controller. First, we studied the correspondence among visual variables represented on a screen or auditory variables and the duration of vibratory stimulus to the subjects' hand by subjective evaluation. Subjective rating method was used in ten items; suitability, comprehensibility, ease-to-use, naturalness, variety, activity, usualness, interest, wish-to-use and feeling of pleasure. Second, to show the effects of multi-modal interface using visual sense, the sense of auditory and vibratory sense, we combined positive stereotype of visual variables and auditory variables provided with the first experiment. The results showed some stereotype between visual variables or auditory variables and duration of vibratory stimulus. Some of the variables such as size, direction of motion, hue, brightness of color and volume of sound had high correspondence with the duration of vibration.

• The Korean Journal of Applied Statistics
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• v.25 no.3
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• pp.521-529
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• 2012

Simple canonical correlation biplot is a graphical method to investigate two sets of variables and observations in simple canonical correlation analysis. If we consider the set of covariate variables that linearly affects two sets of variables, we can apply the partial canonical correlation biplot in partial canonical correlation analysis that removes the linear effect of the set of covariate variables on two sets of variables. On the other hand, we consider the set of covariate variables that linearly affect one set of variables but not the other. In this case, if we apply the simple or partial canonical correlation biplot, we cannot clearly interpret other two sets of variables. Therefore, in this study, we will apply the semi-partial canonical correlation analysis of Timm (2002) and remove the linear effect of the set of covariate variables on one set of variables but not the other. And we suggest the semi-partial canonical correlation biplot for interpreting the semi-partial canonical correlation analysis. In addition, we will compare shapes and shape the variabilities of the simple, partial and semi-partial canonical correlation biplots using a procrustes analysis.

• Journal of Families and Better Life
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• v.33 no.1
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• pp.1-17
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• 2015

This study investigated how variables of internalizing and externalizing problematic behaviors change according to gender and as time passes by and how the variables influence adolescent problematic behaviors. The variables selected for the analysis are personal variables, parent variables, peer and school variables, and community variables. longitudinal data collected for 4 years from the Korea Youth Panel Survey(KYPS) were utilized for the analysis. Data were collected initially from 2,707 fifth grade elementary students in 2005 and they were traced until 2008. The final respondents were 2,448 students. The findings are as follows. Frist, the statistical significance was found in changes of problematic behavioral variables in terms of the gender difference. Second, variables, such as self-esteem and self-control are negatively correlated to the problematic behaviors and stress level is strongly positively correlated to the behaviors. Third, the study pressure and peer attachment level are correlated to the initial value of internalizing problematic behaviors. In conclusion, given that more statistical significances were found at initial values than the change rates among variables, early intervention is important in addressing adolescent problematic behaviors.

• Journal of Korean Academy of Nursing
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• v.42 no.4
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• pp.537-548
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• 2012

Purpose: The purpose of this study was to use meta-analysis to evaluate the variables related to depression in patients who have had a stroke. Methods: The materials of this study were based on 16 variables obtained from 26 recent studies over a span of 10 years which were selected from doctoral dissertations, master's thesis and published articles. Results: Related variables were categorized into sixteen variables and six variable groups which included general characteristics of the patients, disease characteristics, psychological state, physical function, basic needs, and social variables. Also, the classification of six defensive and three risk variables group was based on the negative or positive effect of depression. The quality of life (ES=-.79) and acceptance of disability (ES=-.64) were highly correlated with depression in terms of defensive variables. For risk variables, anxiety (ES=.66), stress (ES=.53) showed high correlation effect size among the risk variables. Conclusion: These findings showed that defensive and risk variables were related to depression among stroke patients. Psychological interventions and improvement in physical functions should be effective in decreasing depression among stroke patients.

• Journal of the Korean Home Economics Association
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• v.25 no.1
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• pp.105-119
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• 1987

The purpose of this study is to investigate the influences of demographic, personal and psychosocial variables on the wives' marital satisfaction in order to develop theories about the stablility of modern families. The data, collected from 490 mothers living in Seoul, is analyzed by statistical methods, such as Frequency Distribution, Pearson's Correlation, One-Way ANOVA, Scheffee-test and Multiple Regression Analysis. The major findings are as follows: 1) In my study, the Marital Satisfaction Scale consists of 7 dimensions; of which affective communication, problem-solving communication, and companionship are comparatively important variables. 2) Of demographic variables, wives' educational level is an influencing variable in 6 dimensions, and family monthly income, in general satisfaction. 3) Of personal variables, sex role attitude is a significantly influencing independent variable in satisfaction with children area and self actualization, variable in problem-solving communication area. 4) Of psychosocial variables, role enactment, role consensus, and role strain are proved to be influencing variables, but role salience is not. Also, role enactment is the most influencing independent variable in almost areas of marital satisfaction. 5) By given independent variables, variance is explained 30% of all. The implication that can be inferred from the above findings is that psychosocial variables are more important than demographic variables, and that personal variables such as androgyny, self-actualization should be encouraged to further research.

• Journal of The Korean Association For Science Education
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• v.31 no.1
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• pp.32-47
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• 2011

The purpose of this study was to analyze the ability to control variables and the ways by which variables are controlled. First, the assessment criteria for evaluating the students' ability to control variables were developed for 8th grade students. Second, the ways variables are controlled were classified from student activity reports. These students' answers were categorized into six types (type A~ type F). Type A is defined as the group that excelled in recognizing the importance of controlling variables, eliminating unnecessary variables and identifying manipulated, dependent and controlled variables. Third, the scores of ability to control variables (CV score) and the classroom test of scientific reasoning (Lawson SRT) scores were measured. The results indicated that the CV score was highly correlated with Lawson SRT scores (r=.67, p<.01). Therefore, the assessment criteria developed in this study was used to evaluate the ability to control variables (CV score) and to measure the students' scientific reasoning.