• Communications for Statistical Applications and Methods
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• 제26권3호
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• pp.305-313
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• 2019

Generalized canonical correlation analysis (GCCA) extends the canonical correlation analysis (CCA) to the case of more than two sets of variables and there have been many studies on how two-set canonical solutions can be generalized. In this paper, we derive certain stationary equations which can lead the higher-order solutions of several GCCA methods and suggest a type of iterative procedure to obtain the canonical coefficients. In addition, with some numerical examples we present the methods for graphical display, which are useful to interpret the GCCA results obtained.

• 종양간호연구
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• 제2권1호
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• pp.5-16
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• 2002

Purpose: This study was to develop a stress-adaptation model for family caregivers of cancer patients that could provide the basis of planning nursing intervention. Method: A hypothetical model was developed using the family adaptation model proposed by Haley et al. (1987). In the literature, the stressor was identified as patient's characteristics, caregiver's characteristics, duration of illness, and family life events. It affected stress appraisal, family resources, family coping and finally caregiver's adaptation. In this model, 18 paths were constructed. Data were collected from 241 caregivers, whose family members were in treatment between June and August 2000, at 3 university hospitals and were analyzed by SPSS and LISREL programs. Results: 1) The overall fitness indices of the hypothetical model were x 2=267.78 (P= .0), GFI= .92, AGFI= .87, NFI= .93, NNFI= .93, PNFI= .64, PGFI= .55, and RMR= .43. Ten of the eighteen paths proved to be significant. 2) To improve the model fitness, the hypothetical model was modified considering modification indices and the paths proved not significant. Final model excluded 3 paths demonstrated to be improved by x2=161.96 (P= .00), GFI= .95, AGFI= .91, NFI= .96, NNFI= .96, and RMR= .23. Twelve of fifteen paths proved to be significant. 3) Stress appraisal was influenced by disease related characteristics and duration of illness and was explained 22% of the variance. Family resources were influenced by stress appraisal and was explained 57% of variance. Family coping was influenced by disease related characteristics, caregiver's characteristics, duration of illness, family life event, and stress appraisal and was explained 57% of variance. Family caregiver adaptation was influenced by disease related characteristics, caregiver's characteristics, stress appraisal, and family coping and was explained 31% of variance. Twelve of fifteen paths were significant. Conclusion: Based on this study, to help family caregivers to adapt, individual intervention is necessary with consideration of disease related and caregiver's characteristics and duration of illness. The intervention should include efforts to raise the family resources and to identify positively the stress they encounter, and there is a need to establish an adaptation model that considers emotional aspects of family caregivers. Since there is a difference in emotional status depending on the disease stage, a study needs to be done to analyze the differences among the disease stages (diagnosis, treatment, recurrence, and terminal stages).

• 대한간호학회지
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• 제45권1호
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• pp.64-75
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• 2015

Purpose: This study was designed to construct and test structural equation modeling on healthy menopausal transition in middle-aged women in order to identify variables affecting healthy menopausal transition. Methods: Participants, 276 women, 45 to 60 years of age, with menopausal symptom score higher than 5 on the Korean version of Menopause Rating Scale, were recruited in three cities and one county of Gyeongnam Province. Research data were collected via questionnaires and analysed using SPSS version 18.0 and AMOS version 20.0. Results: After confirmatory factor analysis, one of the observed variables was excluded due to relatively low factor loading. The model fit indices for the hypothetical model were suitable for the recommended level: GFI=.93, CFI=.92, RMSEA=.05. Self-efficacy, self-differentiation, and menopausal symptoms explained 67.7% of variance in menopausal transition, and self-differentiation was the most influential factor for menopausal transition. Self efficacy and menopausal symptoms explained 9.6% of variance in menopausal management, although "menopausal symptoms" was not significant. Conclusion: These results suggest that nursing interventions to improve self-differentiation, self efficacy, menopausal management and decrease menopausal symptoms are critical for healthy menopausal transition in middle-aged women. Continued development of a variety of community-based nursing interventions to facilitate healthy menopausal transition is suggested.

• 유통과학연구
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• 제11권10호
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• pp.63-72
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• 2013

Purpose - This study analyzes the relationship and dynamic interactions between stock price index, interest rate, price index, and housing price indices using Korean monthly data from 2000 to 2013, based on a VAR model. This study also examines Granger causal relationships among these variables in order to determine whether the time series of one is useful in forecasting another, or to infer certain types of causal dependency between stochastic variables. Research design, data, and methodology - We used Korean monthly data for all variables from 2000: M1 to 2013: M3. First, we checked the correlations among different variables. Second, we conducted the Augmented Dickey-Fuller (ADF) test and the co-integration test using the VAR model. Third, we employed Granger Causality tests to quantify the causal effect from time series observations. Fourth, we used the impulse response function and variance decomposition based on the VAR model to examine the dynamic relationships among the variables. Results - First, stock price Granger affects interest rate and all housing price indices. Price index Granger, in turn, affects the stock price and six metropolitan housing price indices. However, none of the Granger variables affect the price index. Therefore, it is the stock markets (and not the housing market) that affects the housing prices. Second, the impulse response tests show that maximum influence on stock price is its own, and though it is influenced a little by interest rate, price index affects it negatively. One standard deviation (S.D.) shock to stock price increases the housing price by 0.08 units after two months, whereas an impulse shock to the interest rate negatively impacts the housing price. Third, the variance decomposition results report that the shock to the stock price accounts for 96% of the variation in the stock price, and the shock to the price index accounts for 2.8% after two periods. In contrast, the shock to the interest rate accounts for 80% of the variation in the interest rate after ten periods; the shock to the stock price accounts for 19% of the variation; however, shock to the price index does not affect the interest rate. The housing price index in 10 periods is explained up to 96.7% by itself, 2.62% by stock price, 0.68% by price index, and 0.04% by interest rate. Therefore, the housing market is explained most by its own variation, whereas the interest rate has little impact on housing price. Conclusions - The results of the study elucidate the relationship and dynamic interactions among stock price index, interest rate, price index, and housing price indices using VAR model. This study could help form the basis for more appropriate economic policies in the future. As the housing market is very important in Korean economy, any changes in house price affect the other markets, thereby resulting in a shock to the entire economy. Therefore, the analysis on the dynamic relationships between the housing market and economic variables will help with the decision making regarding the housing market policy.

• 기본간호학회지
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• 제14권3호
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• pp.340-350
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• 2007

Purpose: This study was done to construct a quality of life (QOL) model for recipients of a liver transplant. Method: In consideration of the main factors influencing QOL in recipient of liver transplants, a hypothetical model was constructed with 16 paths. A questionnaire was used to collect data from recipients of liver transplants who were being followed at one of 3 university hospitals. For the final analysis, there were 189 completed questionnaires and the hypothetical model was verified through covariance structure using LISREL program. Results: Overall fitness indices of hypothetical model were GFI= .99, AGFI= .97, NNFI= .96 and RMR=.020. After considering modification indices and paths that proved not to be significant and to improve model fitness, the hypothetical model was modified. In the final model, 3 paths from the hypothetical model were excluded. Overall fitness indices of the final model were GFI= .99, AGFI= .98, NNFI= .98 and RMR= .020. Eleven of fifteen paths proved to be significant. QOL was influenced by duration after transplantation, perceived health status, self-esteem, uncertainty, social support, self efficacy and depression and these variables explained 65% of the variance. Conclusion: This study presents a theoretical model for QOL for recipients of a liver transplant. Based on the results of this study and to improve QOL for recipients of a liver transplant, it is suggested that interventions to re-enforce self efficacy and self-help are needed.

• 문화기술의 융합
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• 제7권3호
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• pp.439-444
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• 2021

본 연구는 자동화된 통사 구문 분석 프로그램인 TAASSC를 활용하여 한국 대학생의 에세이에 나타난 영어능력 수준과 통사적 복잡성간의 관계를 살펴본다. 본 연구에서는 ICNALE 코퍼스에 포함된 한국인 대학생이 작성한 에세이를 분석하였고, 구 복잡성 지표와 절 복잡성 지표가 영어 수준을 얼마나 잘 예측할 수 있는지를 살펴보았다. 단계적 회귀분석 결과 구 복잡성 지표는 영어 능력 수준 변인의 8%, 절 복잡성 지표는 약 11%를 설명하는 것으로 나타났다. 따라서 절 복잡성 지표가 구 복잡성 지표보다 한국인 대학생의 영어 수준을 조금 더 잘 예측한다고 볼 수 있으며, 이는 구 복잡성 지표가 쓰기 능력 발전의 표준이 된다는 Biber 외(2011)의 연구 결과와는 상반된다.

• 한국의류학회지
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• 제34권6호
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• pp.937-954
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• 2010

This study analyzes the body characteristics of Korean obese women using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen from previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects for this study. 54 body measurements and obesity judgment indices were used. First, the subjects had a BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, and WHR 0.90. In the case of the distribution by age groups, the twenties were 6.4% of the entire subjects, the thirties were 18.2%, the forties were 16.4%, the fifties were 37.4%, and the sixties were 21.5%. The result of the ANOVAs (divided into 5 age groups) showed significant differences in 41 measurement items except for bust circumference, waist length front, and all of obesity judgment indices. Second, according to the ANOVAs among stature groups divided by 5cm pitches there are significant differences in all measurements except for bust circumference. The results of the ANOVAs among bust circumference groups divided by 5cm pitches show that significant differences were observed in all measurements except four measurement items (including body rise). According to the ANOVAs among the waist circumference groups divided by 5cm pitches, there are no significant differences in all height measurements and shoulder length, waist to hip length, and crotch length. It is confirmed that stature and bust circumference have a deep relationship with measurements other than waist circumference. Third, as the factor analysis were conducted using 39 measurement items to extract the body characteristics of obese women Factor 1 is "circumference measurements & obesity judgment indices," Factor 2 is "heights & arm-related lengths," and Factor 3 is "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences," and Factor 8 was "neck base circumference & front widths in upper body." These 8 factors explained 76.54% of the total variance.

• Journal of Construction Engineering and Project Management
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• 제3권4호
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• pp.5-11
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• 2013

Construction industry is overwhelmed by delay and often has suffered cost and time overrun. In this context, Last Planner System (LPS) has been considered as a very useful tool for the management of the construction process. Many previous studies have reported its effectiveness in construction performance. This study aims to evaluate the level of importance of the Last Planner processes in the Vietnam construction industry (VCI), and analyze the existing barriers when implementing these processes in construction management. These barriers were collected based on previous studies from International Group for Lean Construction (IGLC). A survey was carried out through questionnaire. The respondents are been experienced people in construction project management. There are four processes of LPS that were investigated including master schedule, phase schedule, lookahead plan, and weekly work plan. The results showed that master schedule is the most important item when performing a construction project in the VCI. The highest degree of agreement belongs to 'owner - contractor' pair with 77.1% importance indices; whereas the lowest belongs to 'consultants - contractors' pair with 63.8% importance indices. Eventually, three barrier factors were extracted from factor analysis technique with 62.2% of variance explained.

• Preventive Nutrition and Food Science
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• 제5권4호
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• pp.205-212
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• 2000

The relation of food and supplemental intake of iron, vitamin E and ascorbic acid and other lifestyle variables to packed cell volume (PCV) and serum vitamin levels was studied in urban and rural (71% Amish) communities. Subjects were interviewed (24-h dietary recalls) on three occasions over 18-months, and blood samples were taken (maximum observations = 442). Mean PCV was lower in rural males (43.3) than in urban males (45.4) despite higher man food iron intake (18.7 and 14.4 mg/day, respectively). Mean meal iron availability was higher at lunch and lower at breakfast and dinner for rural than for urban subjects. Smoking was the number one variable in males and females explaining variance in PCV. Supplemental vitamin E and ascorbate intakes explained the most variance in serum vitamin E and ascorbate levels, respectively. Serum vitamin E was also associated with supplemental ascorbate intake (r=0.29). Serum ascorbate was also associated with food ascorbate intake (r=0.28) and body weight (r=-0.24).

• 한국의류학회지
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• 제34권6호
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• pp.982-996
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• 2010

This study classified the body shapes of Korean obese women and investigated the differences of each body shape, using 2004 Size Korea data. For selecting the obesity sample, 7 obesity judgment indices were chosen through previous clothing-related studies. A total of 636 females defined as "obese" by 5 out of 7 indices were selected as subjects and 54 body measurements and obesity judgment indices were used in this study. Firstly, mean, standard deviation, minimum, and maximum values of each measurement and item were obtained from the descriptive analysis of 53 measurements. According to the descriptive analysis, all measurements and obesity judgment indices of the subjects demonstrated a serious obesity level shown by BMI 27.11, R$\ddot{o}$hrer index 1.76, Vervaeck index 104.77, Relative weight 133.00, WHR 0.90, and waist circumference 86.71cm. In addition, the measurements and indices showed considerable differences between minimum and maximum values. Significant differences were identified in all measurements and items at a significant level, p=.001. Each distribution of body types according to age, stature, bust, and waist circumference groups was provided in this study. Secondly, factor analyses were conducted using 38 measurement items to extract the body characteristics of obese women. Factor 1 was "circumference measurements & obesity judgment indices," Factor 2 was "heights & arm-related lengths," and Factor 3 was "size and ratio of waist circumference & hip circumference." Factor 4 was "lengths in upper body," Factor 5 was "back width in upper body," Factor 6 was "side neck point to bust & bust circumference," Factor 7 was "length in lower body & arm circumferences" and Factor 8 was "neck base circumference & front width in upper body." These 8 factors explained 76.54% of the total variance. Finally, 5 body types were selected in the cluster analysis. Type 1 (with big back widths & arm circumferences) was 15.5% of the entire subjects, Type 2 (the shortest and fattest, with big upper body) was 18.8%, Type 3 (with big breast) was 27.8%, Type 4 (the tallest and longest in arm lengths, with the smallest arm circumferences and lengths in torso) was 22.5%, and Type 5 (with big hips compared to waist circumferences, smaller height and upper body) was 15.5%. Fundamental differences were identified in all measurements and items at the significant level of p=.001. In addition, each distribution of body type according to age, height, bust, and waist circumference groups was provided in this study.