• Health Policy and Management
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• v.29 no.4
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• pp.454-468
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• 2019

Background: Supporting the elderly population is presented as a social issue, and it affects age discrimination, which forms a negative perception and avoids the elderly. Since age discrimination lowers the quality of life of the elderly and hinders social unity, it may be important to research related factors. This study examined the physical function as a factor that influences discrimination experiences and aimed to identify the relationship between physical function factors and discrimination experiences. Methods: In this study, we analyzed 20,225 elderly from the 2014 and 2017 survey of living conditions and welfare needs of Korean older persons, conducted nationwide among older than 65 years. Physical function factors are activities of daily living, instrumental activities of daily living, sight discomfort, hearing discomfort, chewing discomfort, and leg strength as factors of interest. We performed multivariable logistic regression that reflected survey characteristics, adjusting for socio-demographic factors, health related factors, and social-support factors. Results: The number of elderly who faced discrimination experiences was 1,175 (5.8%). The results showed that the odds ratio of facing a discrimination experience in the dependent group was significantly higher compared to the independent group when being transferring out of the room (4.05; 95% confidence interval [CI], 1.50-10.88) and difficulty in hearing (1.25; 95% CI, 1.05-1.49). Even with respect to chewing ability, which was significant in models 1 and 2, they face more discrimination experiences (1.30; 95% CI, 1.11-1.53). Conclusion: These research results indicate that an important strategy for preventing age discrimination is to understand the physical function conditions of the elderly and promote the physical functions of the elderly related to transferring, hearing, and chewing; it is necessary to develop a practical intervention plan that considers these aspects.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.563-566
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• 1999

The functional diagnosis instrument should be preceded first to both the accurate selection of exact acupoint and discrimination. so the measuring and stimulating method are improved to SPAC pattern to evaluate impedance existed in the body. As a result, the resistance factor between skin and probe, the dipolization of cell was reduced so that the judgement of acupoint is advanced. After extraction of optimization parameter of SPAC pattern which the high discrimination efficiency and the lowest affection on the human body is controlled by using microprocessor to enhance conviction. The discrimination efficiency was confirmed by meridian visualization system. Also mechanism of probe was improved to increase efficiency of image recognition processing. The image of discriminated acupoint with probe is obtained by using a camera, the location on the tip of probe is recognized and processed. And then these are converted to virtual color by proportional to measuring current level of scan point on skin.

• Korean Journal of Child Studies
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• v.12 no.2
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• pp.78-93
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• 1991

The purpose of this study was to develop a rating scale for measuring children's temperament. The subjects were 622(324 boys and 298 girls) 3-to 7-year-old children. The temperament rating scale was composed of 50 items(4-point Liken scales) was based on mother's interview, RITQ and PTQ. The raters were the subjects' mothers. The data were analysed on dimensions of validity, reliability, and item discrimination. Statistical methods were factor analysis, ${\chi}^2$-test, and calculations of Pearson's r Cramer's V and Cronbach's $\alpha$. On validity 5 factors were extracted, which explained 84% of the total common variance. The 5 factors were named 'malleability', 'activity', 'sensitive reactivity', 'eating habits & physical constraints', 'physiological rhythmicity'. Regarding reliability, Cronbach's $\alpha$ appeared between .66 and .81 among the 5 factors. Regarding item discrimination, the degree of discrimination on all 50 items was significant and acceptable.

• Journal of Technologic Dentistry
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• v.44 no.3
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• pp.104-110
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• 2022

Purpose: This study analyzes the difficulty and discrimination of the paper-based test (PBT) and the computer-based test (CBT) according to item response theory, focusing on the National Dental Technician Examination. Methods: A mock test was conducted from September 15 to 23, 2020, and the final 179 (1 out of 180 absentees)people were the subjects of this study. Both frequency analysis and factor analysis were performed. The collected data were analyzed using IBM SPSS Statistics ver. 18.0 (IBM) and jMetrik programs. The significance level was set to 0.05. Results: The difficulty of the mock test was more easily responded to in CBT. It was also predicted that the CBT could better measure the ability of test takers than the PBT could. Conclusion: The difficulty, discrimination, and reliability of the questions were not affected by the examination method through the mock test. The feasibility of a future change to the CBT was confirmed by the National Dental Technician Examination.

• Korean Journal of Childcare and Education
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• v.19 no.6
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• pp.39-54
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• 2023

Objective: This study aimed to develop a parent play interaction observation scale (PPIOS-Toddler) and analyze it in terms of item discrimination, reliability, and validity. Methods: The subjects of the study were 97 toddlers and mothers. This scale consisted of three categories, six domains and 22 items on a 5-point scale. For the item discrimination of the observation scale, an independent standard t-test was conducted to analyze the significant difference in average between the upper and lower groups for each item. The reliability of the observation scale was calculated by Cronbach's α, the intra-item agreement, and the validity was examined through content validity, the correlation between subdomains and total scores, and official validity using PICCOLO. Results: In item discrimination analysis, all items exhibited differences between upper and lower groups. The overall internal agreement for the observation scale was 0.95, with factor-specific internal agreement ranging from 0.83 to 0.95. The observation scale demonstrated notable correlations between total scores and sub-factors (0.45 to 0.93) and significant correlations with PICCOLO total scores (0.66 to 0.86). Conclusion/Implications: The study successfully verified the item discrimination, reliability, and validity of the Parent Play Interaction Observation Scale (PPIOS-Toddler).

• Bulletin of the Korean Chemical Society
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• v.35 no.8
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• pp.2403-2409
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• 2014

Absolute isotope ratio is a critical constituent in determination of atomic weight. To measure the absolute isotope ratio using a mass spectrometer, mass discrimination factor, $f_{MD}$, is needed to convert measured isotope ratio to real isotope ratio of gas molecules. If the $f_{MD}$ could be predicted, absolute isotope ratio of a chemical species would be measureable in absence of its enriched isotope pure materials or isotope references. This work employed gravimetrically prepared isotope mixtures of argon (Ar) to obtain $f_{MD}$ at m/z of 40 in the magnetic sector type gas mass spectrometer (gas/MS). Besides, we compare the nitrogen isotope ratio of nitrogen trifluoride ($NF_3$) with that of nitrogen molecule ($N_2$) decomposed from the same $NF_3$ thermally in order to identify the difference of $f_{MD}$ values in extensive m/z region from 28 to 71. Our result shows that $f_{MD}$ at m/z 40 was $-0.044%{\pm}0.017%$ (k = 1) from measurement of Ar artificial isotope mixtures. The $f_{MD}$ difference in the range of m/z from 28 to 71 is observed $-0.12%{\pm}0.14%$ from $NF_3$ and $N_2$. From combination of this work and reported $f_{MD}$ values by another team, IRMM, if $f_{MD}$ of $-0.16%{\pm}0.14%$ is applied to isotope ratio measurement from $N_2$ to $SF_6$, we can determine absolute isotope ratio within relative uncertainty of 0.2 %.

• Korean Journal of School Psychology
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• v.18 no.2
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• pp.249-267
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• 2021

This study examined how social withdrawal as an individual factor and discrimination as a contextual factor contributed to depression caused by peer victimization among middle school students. Self-reported data of 1,611 students from 86 classrooms in 7 middle schools was analyzed, using multilevel path analysis. The results indicate that peer victimization had a significant partial mediating effect on the relation between social withdrawal and depression at the individual level. Social withdrawal had a direct positive effect on depression as well as an indirect positive effect on depression via high levels of peer victimization. Discrimination also positively predicted peer victimization at the classroom level. Moreover, classroom-level discrimination moderated the individual-level relations between social withdrawal and peer victimization. The relation between social withdrawal and peer victimization was much stronger as the levels of discrimination in the classroom were higher. These findings shed light on the importance of considering both individual and contextual factors when intervening to prevent peer victimization.

• Journal of the Korean Data and Information Science Society
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• v.23 no.2
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• pp.235-245
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• 2012

Logistic discrimination is an useful statistical technique for quantitative analysis of financial service industry. Especially it is not only easy to be implemented, but also has good classification rate. Generalized additive model is useful for credit scoring since it has the same advantages of logistic discrimination as well as accounting ability for the nonlinear effects of the explanatory variables. It may, however, need too many additive terms in the model when the number of explanatory variables is very large and there may exist dependencies among the variables. Mixtures of factor analyzers can be used for dimension reduction of high-dimensional feature. This study proposes to use the low-dimensional factor scores of mixtures of factor analyzers as the new features in the generalized additive model. Its application is demonstrated in the classification of some real credit scoring data. The comparison of correct classification rates of competing techniques shows the superiority of the generalized additive model using factor scores.

• Korean Journal of Family Social Work
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• no.56
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• pp.169-196
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• 2017

Korean unwed mothers and their families often experience discriminatory and unfair treatment in their everyday lives. However, there has been little research examining discrimination against unwed mothers and its effects on these women's lives. Therefore, further studies are needed to identify and assess types and degree of discrimination against unwed mothers. This study aims to investigate and develop a reliable and valid measurement scale of experiences of discrimination for Korean unwed mothers. For developing the scale, the researchers constructed a concept and sub factors, and the pre-scale of 75 items of discrimination experiences of unwed mothers by conducting a literature review and focus groups interviews, Validity and reliability of the scale were tested by carrying out an item quality analysis, a exploratory factor analysis, a correlation analysis, a criterion validity test and a reliability analysis, The scale of 21 items was constructed with three dimensions. This study is significant that it provides the scale of discrimination for Korea unwed mothers with high reliability and validity to identify and verify types and degree of discrimination experiences of unwed mothers.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.179-186
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• 2008

In this paper we analyse the effects of Bayesian algorithm in teaming class imbalance problems and compare the performance evaluation methods. The teaming performance of the Bayesian algorithm is evaluated over the class imbalance problems generated by priori data distribution, imbalance data rate and discrimination complexity. The experimental results are calculated by the AUC(Area Under the Curve) values of both ROC(Receiver Operator Characteristic) and PR(Precision-Recall) evaluation measures and compared according to imbalance data rate and discrimination complexity. In comparison and analysis, the Bayesian algorithm suffers from the imbalance rate, as the same result in the reported researches, and the data overlapping caused by discrimination complexity is the another factor that hampers the learning performance. As the discrimination complexity and class imbalance rate of the problems increase, the learning performance of the AUC of a PR measure is much more variant than that of the AUC of a ROC measure. But the performances of both measures are similar with the low discrimination complexity and class imbalance rate of the problems. The experimental results show 4hat the AUC of a PR measure is more proper in evaluating the learning of class imbalance problem and furthermore gets the benefit in designing the optimal learning model considering a misclassification cost.