• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.37-43
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• 2018

To explore the lived experiences of nurses on the insulin medication support activity for the type 1 diabetes mellitus. 2 clinical nurse and 3 school health nurse volunteered to complete qualitative analysis by Colaizzi method as phenomenological approach using group activity reports from June 17, to June 24, 2018. 3 codes and 7 themes were deduced and explained 'cheer first step', 'therapeutic relationship maintenance', 'prepare scaffolding'. Findings recommended to provide insulin medication manual focused AI-generation students-their parents have various perceptual expectations.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.627-641
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• 2012

We consider a model estimation and model selection methods for the multi-way contingency table data with non-response or missing values. We also consider hierarchical Bayesian model in order to handle a boundary solution problem that can happen in the maximum likelihood estimation under non-ignorable non-response model and we deal with a model selection method to find the best model for the data. We utilized Bayes factors to handle model selection problem under Bayesian approach. We applied proposed method to the pre-election survey for the 2004 Korean National Assembly race. As a result, we got the non-ignorable non-response model was favored and the variable of voting intention was most suitable.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.357-367
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• 2020

This study is a qualitative study conducted to understand and explain the operating room practice experience of nursing college students. Participants in this study were 67 nursing college students in 3rd and 4th grade at a university in C-gun, Gyeongsangbuk-do who participated in the practice of operating rooms. The data collection period was from January 14, 2019 to January 13, 2020, and the data collection was carried out through an open self-report-style reflection log, and the collected data was analyzed using the traditional content analysis method of Krippendorff [21]. Analysis of the operating room practice experience of nursing college students resulted in 27 sub-themes, 12 themes and 5 categories. The five categories are "Being seized with complicated feelings," "Being faced with dissection body," "Learning the characteristics of the operating room, " "Being confronted with the limits of clinical practice" and "Self-reflection." The results of this study provided an understanding of the operating room practice experience of nursing students and are expected to be used as basic data to improve the quality of practice of nursing students.

• The Korean Journal of Applied Statistics
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• v.18 no.2
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• pp.395-410
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• 2005

For the analysis of large tables formed by many categorical variables, we suggest a method to group the variables into several disjoint groups in which the variables are completely associated within the groups. We use a simple function of Kullback-Leibler divergence as a similarity measure to find the groups. Since the groups are complete hierarchical sets, we can identify the association structure of the large tables by the marginal log-linear models. Examples are introduced to illustrate the suggested method.

• The Korean Journal of Applied Statistics
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• v.21 no.1
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• pp.141-149
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• 2008

Recently we frequently analyze multivariate data with quite large number of variables. In such data sets, virtually duplicated variables may exist simultaneously even though they are conceptually distinguishable. Duplicate variables may cause problems such as the distortion of principal axes in principal component analysis and factor analysis and the distortion of the distances between observations, i.e. the input for cluster analysis. Also in supervised learning or regression analysis, duplicated explanatory variables often cause the instability of fitted models. Since real data analyses are aimed often at multiple purposes, it is necessary to reduce the number of variables to a parsimonious level. The aim of this paper is to propose a practical algorithm for selection of a subset of variables from a given set of p input variables, by the criterion of minimum trace of partial variances of unselected variables unexplained by selected variables. The usefulness of proposed method is demonstrated in visualizing the relationship between selected and unselected variables, in building a predictive model with very large number of independent variables, and in reducing the number of variables and purging/merging categories in categorical data.

• The Korean Journal of Applied Statistics
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• v.20 no.3
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• pp.585-595
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• 2007

The squared Euclid distance of the values which is transformed by P-matrix of Ahn et al. (2003) is in proportion to the squared Euclid distance of cell's relative frequencies in two Contingency Tables. We propose the method of using the PP-values for the analysis of modern poems and questionnaire data.

• Journal of Animal Science and Technology
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• v.46 no.4
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• pp.509-516
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• 2004

This study is to investigate the amount of biased estimates for heritability and genetic correlation according to data structure on marbling scores in Korean cattle. Breeding population with 5 generations were simulated by way of selection for carcass weight, Longissimus muscle area and latent values of marbling scores and random mating. Latent variables of marbling scores were categorized into five by the thresholds of 0, I, 2, and 3 SD(DSI) or seven by the thresholds of -2, -1, 0,1I, 2, and 3 SD(DS2). Variance components and genetic pararneters(Heritabilities and Genetic correlations) were estimated by restricted maximum likelihood on multivariate linear mixed animal models and by Gibbs sampling algorithms on multivariate threshold mixed animal models in DS1 and DS2. Simulation was performed for 10 replicates and averages and empirical standard deviation were calculated. Using REML, heritabilitis of marbling score were under-estimated as 0.315 and 0.462 on DS1 and DS2, respectively, with comparison of the pararneter(0.500). Otherwise, using Gibbs sampling in the multivariate threshold animal models, these estimates did not significantly differ to the parameter. Residual correlations of marbling score to other traits were reduced with comparing the parameters when using REML algorithm with assuming linear and normal distribution. This would be due to loss of information and therefore, reduced variation on marbling score. As concluding, genetic variation of marbling would be well defined if liability concepts were adopted on marbling score and implemented threshold mixed model on genetic parameter estimation in Korean cattle.

• The Korean Journal of Applied Statistics
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• v.10 no.2
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• pp.325-338
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• 1997

This paper suggests a sequence of dependence models as a statistical analysis model for vaccination data on chickenpox and discusses a method for evaluating maximum likelihood estimates of unknown parameters in the suggested model.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1998.11a
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• pp.199-204
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• 1998

우리나라의 산업재해통계는 산업재해의 규모 및 원인 등의 분포상태와 근로자에 대한 특성 등을 파악하여 산업재해 예방정책 및 산업재해 보상 보험 운용 방침 수립의 기초 자료로 사용되고 있다. 그런데, 우리나라의 현행 산업재해 통계 산출 방법은 산업재해보험 가입 사업장의 재해자가 제출한 요양신청서 중 업무상 재해로 인정된 재해만을 대상으로 통계를 산출하는 것이다. (중략)

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.81-81
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• 1999

A categorical data analysis system in the World Wide Web is proposed with an easy- to-use environment . This system is composed of four components. First, this system presents several graphical displays for Exploratory Data Analysis for categorical data. Second, it provides some measures of association Including dynamic graphics for mosaic plots of Hartigan and Kleiner (1981) and Friendly (1994). Dynamic graphics for mosaic plots give some useful informations. Third, this system can analyze categorical data with loglinear models. So we can select the best fitted loglinear model interactively.