• Culinary science and hospitality research
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• v.14 no.3
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• pp.109-122
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• 2008

This study aims to examine the properties of using bakeries based on demographic variables and repurchase intention and recommendation intention according to participation rates in promotional events. First, demographic characteristics and frequency of using bakeries were analyzed. Second, crosstabulation analysis on usability was conducted according to demographic variables. Third, effects of participation rates in promotional events on repurchase intention and recommendation intention were examined. This study could provide the reasons why bakeries should do promotional events, showing their effects on sales. Surveys were conducted with the students of the culinary department and bakery customers to investigate the influence on repurchase intention and recommendation intention according to participation rates in promotional events. As a result, both repurchase intention and recommendation intention showed a significant result. Also, the study aims to improve understanding by analyzing demographic variables on the properties of using bakeries(frequency in use of bakeries, purchase type, bakery type that is preferred, a time slot being made a purchase, objects of purchase, and purchasing price per person) and create data to help the management of a bakery.

• Korean Journal of Adult Nursing
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• v.12 no.1
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• pp.112-121
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• 2000

The purpose of this study was to define the degree of the resourcefulness and the health-promoting behavior of cancer patients, to identify the relationship between the resourcefulness and the health promoting behaviors and to provide the basis for strategic nursing intervention. This study was conducted by an exploratory survey. Data were collected by self-reported questionnaires from 97 cancer patients in a university hospital in Tae-Gu from September to December of 1998. The sample data were collected by using a convenient sampling method. The following instruments were used in the study after some adaptation : Park Chai Soon's Health Promoting Lifestyle Profile, Oh Pok Ja's instrument for health promotion behavior and the Rosenbaum self-control schedule(SCS). The reliability of instruments was tested with Chronbach'alph(.79-.89). Data was analyzed by using the SAS program. T-test, ANOVA, and Pearson's coefficients of correlation. The results of this study were as follows: First, the average score of the resourcefulness variable was 22.20; the range of the score was from -30 to +81 The average score of the performance in the health promoting behavior variable was 96.13; the range of the score was from 39 to 137 Second, the resourcefulness variable was significantly different from such demographic factors as gender and perceived health status, but there was no statistically significant difference between the demographic factors and the health promoting behavior variable, except that of perceived health status. Third, the performance in health promoting behavior of cancer patients was significantly correlated with the resourcefulness of cancer patients(r= .50) In conclusion, resourcefulness was identified to be an important variable that could contribute to promote health-promoting behavior.

• Survey Research
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• v.11 no.2
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• pp.29-44
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• 2010

The aim of this study was to determine principal non-acoustical factors for noise annoyance in the vicinity of Kimpo Airport in Seoul, Korea. Noise annoyance was estimated using self-reported annoyance scale. We have conducted a social survey aiming to identify the main sound sources, evaluate the annoyance and analyse the main effects of noise on people. Acoustical and non-acoustical variables are expected to greatly affect annoyance responses. This study divided acoustical variables into aircraft, road traffic and neighboring noises, and non-acoustical variables into demographic, situational and attitudinal variables. The study performed multiple regression analysis to determine the influences each variable has on annoyance responses. Acoustical variables affect noise annoyance to aircraft and neighboring noise except road traffic noise. For road traffic and neighboring noise annoyance was affected by non-acoustical variable, insulation by housing type. For aircraft noise, main noise source of this area, annoyance was affected by acoustical variable and some non-acoustical variables, mainly exposure time.

• Korean Journal of Child Studies
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• v.18 no.1
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• pp.109-123
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• 1997

The purpose of this study was to examine the relationships between adolescent sensation-seeking and risk behavior. This study was based on Zuckerman's model which states that the higher the sensation-seeking score, the higher the risk behavior score. The subjects were 460 third year high school adolescents in Seoul. Instruments were the Arnett Inventory on Sensation-Seeking and questionnaires on risk behavior as well as demographic variables. Statistical procedures were T-test, F-test, correlation, and heirarchical regression analysis. Sex was the only demographic variable related to sensation-seeking scores; there were differences in risk behavior score by father's education, mother's education and father's occupation; adolescent sensation-seeking and demographic variables (father's education, mother's education, and father's occupation) influenced adolescent risk behaviors.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.1
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• pp.131-140
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• 2015

After drawing the sensory images from the color green, the difference of sensory images and the difference of the color green according to demographic characteristics and which factors affect the preference have been analysed. The thirty six-photos of 2013 women fashion show on the STYLE.COM were used for the stimuli of green colour fashion for the questionnaire. The people surveyed were adults in their 20s to 50s. The 123 copies of the questionnaire were used for the statistical analysis of this study. Factor analysis, Cronbach's ${\alpha}$ test, t-test, ANOVA, Duncan test and Regression analysis test were carried out by SPSS 19 for the statistical analysis of collected data. The results were as follows. The sensory images of green fashion were drawn in six types. The sensory images of green fashion according to demographic characteristics showed a significant difference depending on martial status, age, monthly income and occupation. The preference of green colour fashion according to demographic characteristics showed a significant difference depending on sex, age, monthly income, occupation. The variables affecting the preference of green fashion were identified as four types, and the most affecting variable to the preference was the favorable and familiar factor. These research results will become available on selecting the target customer and making the marketing differentiation strategy when planning fashion products.

• Communications for Statistical Applications and Methods
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• v.27 no.3
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• pp.385-395
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• 2020

We present a new maximum likelihood approach to estimate demographic history using genomic data sampled from two populations. A demographic model such as an isolation-with-migration (IM) model explains the genetic divergence of two populations split away from their common ancestral population. The standard probability model for an IM model contains a latent variable called genealogy that represents gene-specific evolutionary paths and links the genetic data to the IM model. Under an IM model, a genealogy consists of two kinds of evolutionary paths of genetic data: vertical inheritance paths (coalescent events) through generations and horizontal paths (migration events) between populations. The computational complexity of the IM model inference is one of the major limitations to analyze genomic data. We propose a fast maximum likelihood approach to estimate IM models from genomic data. The first step analyzes genomic data and maximizes the likelihood of a coalescent tree that contains vertical paths of genealogy. The second step analyzes the estimated coalescent trees and finds the parameter values of an IM model, which maximizes the distribution of the coalescent trees after taking account of possible migration events. We evaluate the performance of the new method by analyses of simulated data and genomic data from two subspecies of common chimpanzees in Africa.

• Journal of Families and Better Life
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• v.6 no.1
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• pp.205-221
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• 1988

The purpose of this study is to classify several variable which were assumed to have relationship with the college students behavior of Hyo, to see their possible correlation with demographic characteristics, and to proved some useful data for their possible correlation with demographic characteristics. and to provide some useful data for their sound value system. The data for this study was obtained form the survey of the 477 students who reside in the city of Seoul by using questionnaire methods. The frequency of variables was statistically analyzed to see the general character of the samples and factor analysis was made for classification of the college student's behavior of Hyo. In order to study th characteristic of demographic variables, t-test and ANOVA were conducted The major findings of this study can be summarized as follows. 1) As the result of factor analysis about behavior of Hyo, six factors (Which Eigen value was above 1.0) out of 64 questions were extracted : 'respect' familiarity' 'family consciousness' 'serve' self-preservation, establishmence of them-selves in life' and 'self-reliance' were selected. 2)In general, it can be said that the college students' behavior of Hyo varies by demographic variables. 3) By surveying the level of actualizing Hyo of the college students' all of factors ranged from 'the middle' to 'the high level'. The result confirmed that students fulfilled the behavior of Hyo to their parents in all items.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.95-102
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• 2023

This study aims to empirically verify the moderating effect of population drop on the relationship between demographic changes and crime decline in local cities facing population decline in Korea. The study employs changes in the population of young adults, men, elderly, foreign residents, and population movement as factors of demographic changes, including types of the city as a control variable in the research model. The rate of change in population drop is used as a moderator variable and the rate of change in crime decline as a dependent variable. Data are collected from 155 cities with declining populations from 2010 to 2022 through KOSIS, the National Statistics Portal, and information disclosure requests. Data collected are analyzed using moderated regression analysis. In the first and second stages of the analysis, they show that changes in the population of young adults, population movement, foreign people, population drop, and the type of city affect the change in crime. Moderated regression analysis shows that only the interaction terms among changes in the population of young adults, changes in population movement, and changes in the population of foreigners and the population drop affects change in crime significantly.

• Journal of Korean Academy of Nursing
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• v.36 no.7
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• pp.1145-1153
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• 2006

Purpose: The purpose of this study was to discover kidney transplant and hemodialysis patients' quality of life(QOL) and provide basic data to improve their QOL. Method: One hundred two hemodialysis patients and 106 kidney transplant patients were given a self-administered questionnaire from Mar. 6 to Mar 31, 2006. The instrument consisted of demographic variables, therapeutic-related characteristics and QOL. Collected data was processed using the SPSS 12.0 statistical program for real numbers, percentages, ANCOVA, t-test, ANOVA, Stepwise multiple regression and the Scheffe test. Results: Kidney transplantpatients' QOL was higher than hemodialysis patients. The demographic variables which showed a significant difference in overall QOL were religion, children and monthly income for kidney transplantpatients and educational background for hemodialysis patients. The therapeutic-related variable which showed a significant difference in overall QOL was the patients' perceived health condition for both groups. The influencing factor on overall QOL for both groups was the health condition perceived by themselves. The total variance of the variable for QOL was 42% for kidney transplant patients and 19% for hemodialysis patients. Conclusion: This study revealed that kidney transplant patients have a higher QOL and how patients perceive their health is the strongest influencing factor for QOL. However, there is a large difference between the demand and supply of kidney donors. To solve this problem the standards for donation should be reviewed and revised.

• Journal of Preventive Medicine and Public Health
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• v.15 no.1
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• pp.219-228
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• 1982

This study aimed at assessing the industrial workers' mental health status and identifing the relationship between mental health status and socio-demographic variables. We administered psychiatric self report rating scale (SCL-90)to 622 manual workers and 191 office workers in a textile .industry. The study began on 1 November, 1981 and lasted for 30 days The results were as follow: 1. Scores of symptom dimension were higher in female rather than male, younger than older, lower income group than higher one, lower educated group than higher one, manual workers than office workers and unmarried group than married one respectively. 2. The result of dimension scores of total samples showed that the score of Obsessive-compulsive scale was highest. The rest symptom dimension showed the order as follows: Interpersonal sensitivity, Depression, Hostility, Anxiety, Paranoid ideation, Somatization, Psychoticism and Phobic anxiety. 3. In order to identify the partial contribution of each socio-demographic variables on the mental health, multiple regression method was applied, and the result was as follows. 1) Sex was the most important one to explain the Somatization, Phobic-anxiety and Psychoticism scales among the 7 variables in the multiple regression equation. 2) Economic status was the most important variable to explein the Obsessive-compulsive, Depression and Hostility scales. 3) Marital status was the most important variable to explain the Interpersonal-sensitivity and Paranoid ideation scales.