• Journal of Families and Better Life
• /
• v.23 no.5 s.77
• /
• pp.161-170
• /
• 2005

The purpose of this study was to devise an Unconditional Self-Acceptance Development Program and examine the efficacy of the program on alleviating children's depression and improving psychological wellbeing. In order to test the efficacy of the developed program, Multidimensional Perfectionism Scale (MPS: Hewitt & Flett, 1991), Unconditional Self-Acceptance Questionnaire (USAQ; Chamberalain & Haaga, 2001), Children's Depression Inventory (CDI; Kovacs & Beck, 1977), and Psychological Well-Being Scale(PWBS: Seng Hee Lee, 1999) were used for pre- and post tests. The test results were analyzed using t-tests. Twelve elementary school students suffering from depression participated in eight sessions of the Unconditional Self-Acceptance Development Program, and then were compared with 13 children in the control group who did not receive the treatment. The result was as follows: the treatment group showed statistically significant improvement in unconditional self- acceptance, alleviated level of depression, and increased psychological wellbeing, in comparison with the control group. The findings of this study suggest that unconditional self-acceptance development program should be adopted as a new therapy program for children's depression and psychological wellbeing.

• Journal of Industrial Convergence
• /
• v.21 no.6
• /
• pp.53-60
• /
• 2023

The purpose of this study is to identify the subjective health status, COVID-19 risk perception, antibody knowledge, social influence, intention of acceptance of the COVID-19 antibody test for general adults and the factors affecting the acceptance of the COVID-19 antibody test. The subjects of the study were 147 adults, and the collected data were analyzed using the SPSS 27.0 program using the frequency, percentage, average and standard deviation, independent t-test, ANOVA, pearson's correlation coefficients, and multiple regression analysis. The results, the acceptance of the COVID-19 antibody test has a significant static correlation with the social influence, the COVID-19 risk perception, and the negative correlation with the subjective health. The factor affecting the acceptance of the COVID-19 antibody test of the general adult was a social influence, and their explanatory power was 50.2%. As a result of this study, COVID-19 antibody tests may be used by preparing effective measures to prevent the spread of the COVID-19 infection.

• Journal of Korean Society for Quality Management
• /
• v.25 no.3
• /
• pp.22-38
• /
• 1997

In a traditional sequential acceptance sampling plan, it is assumed that the sampled items are independent each other. In this paper, stochastically dependent sequential acceptance sampling plans are dealt when there exists dependency between sampled items. Monte-Calro algorithm is used to find the acceptance and rejection probabilities of a lot. The number of defectives for the test to be accepted and rejected in probability ratio sequential test can be found by using these probabilities. The formula for measures of performance of these sampling plans is developed. Type I and II error probabilities are estimated by simulation. This research can be a, pp.ied to sequential sampling procedures in place of control charts where there is a recognized and necessary dependency during the production processes. Also, dependent multiple acceptance sampling plans can be derived by extending this sequential sampling procedure. As a numerical example, a Markov dependent process model is given, and the characteristics of the sampling plans are examined according to the change of the dependency factor.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.34 no.8
• /
• pp.1242-1252
• /
• 2010

This research investigates the effect of fashion leadership on Word of Mouth (WOM) communications on the Internet. This research categorizes consumers into groups by fashion leadership and compares the groups regarding the WOM behavior (degrees of WOM acceptance and delivery as well as the motivations of WOM acceptance and delivery). The subjects of the study were 325 males and females. Major statistical methods used for the study were factor analysis, ANOVA, Scheff$\acute{e}$'s test, and chi-square test. The results categorized consumers into five groups by fashion leadership (dual leaders, fashion innovators, fashion opinion leaders, fashion followers, and fashion laggards). There were significant differences among fashion leadership groups over WOM behavior (acceptance and delivery) and monthly clothing expenditures. Fashion dual leaders had a higher degree of WOM acceptance with motivation of fashion information acquisition and compliance, and they had a higher degree of WOM delivery through motivation of economic compensation, pleasure, and advice. In addition, they had a higher expenditure for clothing products. Fashion innovators had a lower degree of compliance in WOM acceptance. Fashion opinion leaders had a higher degree of WOM delivery through motivation from advice. Fashion followers delivered WOM through motivation of economic compensation and advice. Fashion laggards had a lower degree of WOM acceptance and delivery.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.2
• /
• pp.213-219
• /
• 2020

Studies related to Electronic Word-of-Mouth (eWOM) show that the acceptance of eWOM information is an important factor in customer purchase decisions. When consumers accept eWOM information, they tend to use that information in considering before making purchase decisions. In Viet Nam, there are few studies about eWOM information, especially on the acceptance of eWOM information. Research is conducted to test the influence of consumers on the perception of the senders' identity to the acceptance of online reviews (a kind of eWOM) in Viet Nam - a case study in Ho Chi Minh City. Using adjustment techniques, inspecting the scales and a theoretical model represent the relationship among the influential factors. The research is based on a sample of 522 consumers who use the Internet to search for product reviews before buying and used Structural Equation Modeling (SEM) to test the relationships among the variables. The research results show that the scales of the variables: Message Quality, Source Credibility, Perceived Message Usefulness, Perceived Senders' Identity, Perceived Message Credibility, Message Acceptance attain the validity and reliability in the research. The research contributes to the understanding of the determinants that influence the acceptance of eWOM information, which are informational factors, and factors related to consumer skepticism.

• Korean Journal of Construction Engineering and Management
• /
• v.22 no.6
• /
• pp.3-14
• /
• 2021

In the Chinese construction industry, the utilization of Building Information Modeling (BIM) aims to increase the total output of the construction industry by solving the problem of inefficient interoperability in the construction industry. In 2011, the Chinese Ministry of Housing and Urban-Rural Development despite the technical advantages of BIM and the government policy, the BIM adoption rate in China is lower than 45%. Meanwhile, as the South Korean construction industry is a step ahead of its Chinese counterpart in introducing and utilizing BIM, it is expected that BIM is more actively utilized and accepted in South Korea than in China. According to a comparative study based on the hype-cycle theory, South Korea is at a more advanced stage of introducing BIM, than in China. This study aimed to suggest how to increase BIM utilization rates in China. To this end, this study comparatively analyzed factors affecting BIM acceptance between China and South Korea. For the comparative analysis of the BIM acceptance factors between China and South Korea, literature reviews on the technology acceptance model (TAM) and BIM acceptance model were carried out, and based on that, the BIM acceptance factors were classified. Other BIM acceptance factors were also added and considered, as they reflected Chinese national characteristics and construction industry. As for the derived BIM acceptance factors, construction project participants, especially actual BIM users in China and South Korea, were targeted for the survey. A t-test using SPSS 22.00 was carried out to identify significant differences in data. Finally, based on the t-test results, this study suggested ways of improving the BIM utilization rate in China. Based on the findings, this study is expected to contribute to activating BIM adoption in the Chinese construction industry and also to set a theoretical foundation for future studies on BIM utilization in the industry.

• Communications for Statistical Applications and Methods
• /
• v.12 no.1
• /
• pp.11-18
• /
• 2005

Assume that the life times of the units under test follow the Rayleigh distribution and the test is terminated at a pre assigned time. Acceptance sampling plans are developed for this situation. The minimum sample size necessary to ensure the specified average life are obtained and the operating characteristic values of the sampling plans and producer's risk are given. An example is given to illustrate the methodology.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.14 no.4
• /
• pp.615-621
• /
• 2011

In this paper, the proper quantity of conditioning rounds has been studied using the statistical analysis on the basis of the acceptance test data of K676 and K677 propelling charge for K9 self propelled howitzer. In general, the muzzle velocity of the initial rounds tends to be a little lower than that of the succeeding rounds. The latter rounds are likely to have the constant velocities after firing the appropriate conditioning rounds. The main cause of velocity difference was proved to be the proper quantity of conditioning rounds by doing the correlation analysis among the initial tube temperature, the tube life and the quantity of conditioning rounds. The result of paired t-test shows that two rounds of conditioning projectiles are proved to be enough to maintain the constant velocity in the case of the acceptance test of K676 and K677 propelling charge.

• Journal of East-West Nursing Research
• /
• v.29 no.2
• /
• pp.141-149
• /
• 2023

Purpose: The purpose of this study was to verify the effects of virtual reality (VR) based anatomy education program on nursing students' learning presence, technology acceptance, learning motivation, and knowledge. Methods: A nonequivalent control group pre-test and post-test design was employed. The study participants included 113 nursing students (56 in the experimental group and 57 in the control group) from Ansan City. Data collection was conducted from June 1 through 23. Data were analyzed using χ²-test, Fisher's exact test, and t-test using SPSS 23.0 program. Results: The experimental group had a significant increase in learning presence, technology acceptance, and knowledge before and after the intervention compared to the control group. Conclusion: Virtual reality based anatomy education is an effective learner-centered educational program. From an educational perspective, VR anatomy education programs can improve anatomy knowledge by increasing students' acceptance of VR technology and increase their motivation to learn by increasing their sense of presence.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.17 no.2
• /
• pp.204-212
• /
• 2014

The purpose of this paper is to investigate the effects of calibration rounds on the statistical distribution of the muzzle velocity in acceptance test of propelling charge. It is shown that the normal distribution fits best among statistical distributions from goodness-of fit test. The 3p-Weibull distribution is also acceptable because the shape of the probability density function curve is similar to that of normal distribution and it also has near zero skewness value. Muzzle velocities of test rounds uncompensated by calibration rounds showed high variation and had comparatively higher skewness. Because the skewness of normal distribution is defined to be zero, calibration rounds make the normality of data higher.