• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1203-1209
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• 2010

Internet addiction is a serious social problem in information society. The purpose of this study is to develope a small diagnostic scale in order to detect internet addiction easily. The reliability and validity of K-scale and Kimberly Young-scale is investigated. Five small diagnostic scale is suggested by factor analysis and regression. The comparision of these small scale is established by correlation coefficient, chi-square test, gamma value of concordance in contingency table. In view of reliability and validity, we suggest a small diagnostic scale. The results of this study may be useful to detect internet addiction by oneself.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.224-225
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• 2012

본 연구에서는 기존의 한국정보화진흥원의 인터넷 중독진단 척도인 K-척도와 2012년 새롭게 발표된 성인 인터넷 중독 자가진단 간략형 척도인 KS-A를 비교함으로써 성인 인터넷 중독진단의 현황과 문제점을 확인한다.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.1-10
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• 2014

Smartphone addiction and internet addiction cause a serious negative social problem due to the spread of the new media which is combined with the ubiquitous function. To evaluate the degree of Internet addiction and smartphone addiction of college students in the nearby areas, K-scale of internet addiction self-diagnosis scale and S-scale of smartphone addiction self-diagnosis scale for Korean adults were applied. This study aims to develop the survey questions, which get the basic internet patterns and access the web site, and to find the hidden addicts that is not found by general K-scale and S-scale using computers and smartphones. The result shows that a method of addiction diagnosis using the tolerance degree which is calculated by smart phone's internet main activities and using time(anticipated and real time) apart from K-scale and S-scale. So hidden internet and smartphone addicts could be found through the SPSS statistical analysis program.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.47-55
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• 2012

We discovered the fact that the most important factor for judging adults' internet addiction in the K-scale method which was developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items, is tolerance and preoccupation factor from the experiments by using data mining techniques. In this research, we propose a new internet addiction diagnostic method based on the degree of tolerance considering users' non-duty internet activities. From some questionnaire participants, their feedbacks for the K-scale and the proposed diagnostic method were collected, and then we confirmed that the proposed user-centered diagnostic method is effective to find undiscovered addicts due to individuals's intention in the K-scale.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.317-322
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• 2011

Korean adults' internet addiction diagnosis measure, K-scale developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items. This scale can diagnose user's internet addiction with individual's questionnaire items. Most of previous research works were tried to know reasons of internet addiction and to judge whether adolescents are addicted or not with their samples. In this research, it is the goal to find the key component to judge individual's internet addiction by using a decision tree in the data mining field and a principal component analysis in statistics. From the experimental results, we would discover that tolerance and preoccupation factor is the most important one to affect adult's internet addiction.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.393-406
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• 2018

The depression and anxiety are the most popular mental disorders and not easy to distinguish because of their lots of similarities in the diagnostic criteria, related theories, and clinical symptoms. In this article, we developed the affect scale for distinguishable diagnosis, utilized the relationships between the Positive and Negative affect, and the depression and anxiety. We made up the seed scale of the items which selected by partial correlation, and set the scoring up by multiple regression method. The Multi-dimentional affect scale is reliable and working similarly as the scales used before, but less correlated to each other. We conclude that the affect scale achieved the diagnosis for distinguish between depression and anxiety. Our suggestions for the further study are to redeem the cultural differences, modify by the elaborate methods, and validate by the actual clinical data.

• Journal of Oral Medicine and Pain
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• v.33 no.1
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• pp.49-57
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• 2008

Personality characteristics of BMS patients were alalyzed psychologically by using the SCL-90-R. 59 BMS patient were subjected at Orofacial pain clinic, Department Of Oral Medicine, Pusan National University Hospital during the period from 2006 to 2007. The control group were subjected at dental clinic during the same period. 1. BMS patients group, Dental new patient group, Adult citizen groups were within normal range. 2. The T-scores of HOS, PHOB,PAR, PSY in BMS patient groups was significantly low. 3. The mean T-scores of male in BMS patients group shows the lowest HOS scale, the mean T-scores of female in BMS patient group shows the lowest PHOB scale. 4. The mean T-scores of female in BMS patients group show higher SOM, O-C, DEP, ANX, PSY scales. 5. As compared with the mean T-scores of acute and chronic group in BMS patients, there was no significant difference of the scales.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.5 no.1
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• pp.54-69
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• 1994

The purpose of present study was to develop the Korean Version of Luria-Nebraska Neuropsychological Battery for Children(LNNB-C), to examine the reliability of it, and to establish the norms for determining the probability of brain damage. The normative group used to standardize the Korean version of LNNB-C was composed of 147 children between the age of 8 and 12(body 74, girl 73). The clinical group consisted of 19 brain damaged, 16 ADHD, and 16 psychiatric controls. The inter-scorer reliability was 96.3%, indicating that the stability of the scoring system for the Korean version of LNNB-C is good. The reliability coefficients(Cronbach's ${\alpha}$) of LNNB-C scales were ranged .51 to .91, which are similar to those of original LNNB-C. To establish the norms for detecting brain damage, the means and standard deviations for normative group were used to calculate T-scores for each scale. To determine a critical level that could successfully predict a normal child's average score at a given age, first the average score of normative group was calculated, and this score was then entered a regression equation with age to predict the average(baseline) acore. Finally, some issues on constructing the Korean version of LNNB-C and the cultural differences between Korean and American children in performing LNNB-C were discussed.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.41-51
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• 2013

In the Information age, internet addiction has been a big issue in a modern society. The adverse effects of the internet addiction have been increasing at an exponential speed. Along with a great variety of internet-connected device supplies, K-scale diagnostic criteria have been used for the internet addiction self-diagnose tests in the high-speed wireless Internet service, netbooks, and smart phones, etc. The K-scale diagnostic criteria needed to be changed to meet the changing times, and the diagnostic criteria of K-scale was changed in March, 2012. In this paper, we analyze the internet addiction and K-scale features on the actual condition of Gyeongbuk collegiate areas using the revised K-scale diagnostic criteria in 2012. The diagnostic method on internet addiction is measured by the respondents' subjective estimation. Willful error of the respondents can be occurred to hide their truth. In this paper, we add the survey response to the trusted reliability values to reduce response errors on the K-scale on the K-scale, and enhance the reliability of the analysis.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.35-45
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• 2011

Due to people's internet use growth and proliferation of ubiquitous technology, the internet addiction is becoming a social issue. However, the current adults' self-diagnosis measure about internet addiction, the K-scale, is a normal diagnostic method, which it does not consider user characteristics. In this research, we will propose a new internet addiction diagnostic method based on users' non-duty internet activities by using some questionnaire items to collect users' basic internet patterns used on duty related or non-duty related web sites. Since we simply ask for the basic internet usage pattern to each user who does not like to check frankly questionnaire items in the K-scale, the proposed method can find some hidden internet addicts compared to the K-scale with the SPSS statistical analysis tool.