• Journal of The Korean Association For Science Education
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• v.30 no.4
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• pp.487-497
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• 2010

The purpose of this study was to investigate how a teaching approach influences student's ability of classification at the brain level. Twenty four healthy and right-handed college students participated in this study, which investigated a brain plasticity associated with category-generation and -understanding in classification learning. The participants were divided into one of two groups, one each for category-generation and -understanding learning programs, which were composed of twelve topics taught over a twelve-week period. To measure the change in student competence and brain activations, a paper and pencil test and an fMRI scanning session were administered before and after the training programs. Unlike the understanding group, the generation group showed significant changes in classification ability quotients and learning-related brain activations (cerebral cortex and basal ganglia were increased and prefrontal cortex and parahippocampal gyrus were decreased). Nevertheless, the understanding group showed an increased activation in the cerebral cortex and parahippocampal gyrus and a decreased activation in the right prefrontal cortex and cerebellum. Therefore, it can be concluded that teaching styles could influence students' brain activation patterns and classification ability. The results might also be used to develop a brain-compatible science education curriculum.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.192-199
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• 2018

This study was conducted to examine the nursing image types and characteristics of nurses perceived by nursing college students by applying the Q methodology and to manage effective nursing education and clinical education. The survey was conducted from May 15, 2017 to May 24, 2017, and the data collection for the Q population composition was based on in-depth interviews and literature review. First, nursing college students were searched for convenience and 158 statements were obtained based on open questionnaires and 64 statements extracted from in-depth interviews and after a literature review. To select the Q sample, Q population was categorized by taking several repeated readings. Five categories were developed from these processes: quality and role, social awareness, professionalism, uniqueness, and working conditions. The selected statements were reviewed and revised by experts and 35 Q samples were finally selected. Based on this, 46 students in one nursing college classified 35 Q statements, and analyzed data using PC QUANL program. The results of the study were as follows: 2) Type I-1: Job related anxiety, Type I-2: cold and professional, Type II-1: Complaint of treatment and Type II-2: Profession-Unacceptable. These results are expected to provide useful data for understanding the characteristics of nurses' images and provide data enabling development of image improvement strategies of nursing education and clinical education.

• 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.

• Journal of the Korean Geographical Society
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• v.29 no.3
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• pp.360-368
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• 1994

To this day, a number of quantitative analytical methods have been employed in clarifying regional characteristics in the discipline of geography. This paper attempted, as a part of application of those quantitative analyses, to make clear the urban functions and consequently the urban characteristics statistically by adopting newly-introduced CHAID, a sort of discriminant analyis technique. The processing of data was sonducted in two phases. To begin with, the urban functions were classified after designating twenty cities - the population of each city counting 250, 000 or more - as predictor variable, and at the same time four major urban functions like administration, marketing, finance and production as response variable. And then, preeminent functions of individual region were discriminated and concurrently classified by treating the remaining traffic, education, medicare, culture and transportation functions as predictor variable, and the following five regions as response variable: Metropolitan Seoul Area. Pusan region, Taegu region, Kwangju region and Chungcheong region. According to the result of this analysis, marketing and administration are emereed as meaningful functions in Seoul and Taegu respectively. As for the finance function only Pusan and Pucheon can be discriminated. Seoul, Pusan and Seongnam reveal their dominancy in production function. To take a look at the result of the latter analysis, the Metropolitan Seoul area shows, among other functions, strong traffic and finance functions. When it comes fo Pusan region, adminstration, education and finance functions are recorded as a leading ones, and Taegu region is preferable in education, medicare and transportation functions. In case of Kwangju region adminstration, production and education functions are discriminated from any other functions. Chungcheong region shows similar aspect with only traffic function replacing the production function of Kwangju region. Based on aforementioned anlysis, it can be said that the CHAID technique, which is capable of processing large amount of categorical data and, by presenting its outcome in the form of dendrogram, facilitates the interpretation work, is an effective, meaningful means to classify and discriminate certain geographical regions and their characteristics.

• 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.

• Korean Journal of Social Welfare Studies
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• v.42 no.3
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• pp.85-119
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• 2011

This Study was to explore the experience of foster care child's biological parents and proposed the practical discuss and method for support their returning home. We approached grounded theory to subject. Twenty biological parent's of foster child participated this research. The Data were collected by in depth-interview and documents. The authors analyzed the data according to frame that proposed Strauss and Corbin(1998). The results as follows: In open coding 143 concepts, 34 subcategory, 13 category. In axial coding the causal conditions were 「self-devaluation」, 「self-stigma」, 「social prejudice」. and the phenomenon were 「life as surplus being」, 「revolving around the world」, and the contextual conditions were 「collapse of life base」, 「rustical fatalism」. The intervention conditions were 「operation of support system」, 「instinct of maternity」. The action/interception strategy were 「closing of single eye」, 「pussling of scattered piece」. The consequence were 「fixations of abandonment」. 「resoaring to the world」 The authors proposed the core category as 「go over the wall of world burdening liabilities of being」. The authors classified patricians life type as 「challenging type」, 「status quo type」, 「escaping type」, Finally, we proposed the practical method for support restoring family the world」, foster care child's biological parents.

• 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.22 no.4
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• pp.735-744
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• 2009

In this paper, we introduce a fast approach for Bayesian detection of change points in long-memory processes. Since a heavy computation is needed to evaluate the likelihood function of long-memory processes, a method for simplifying the computational process is required to efficiently implement a Bayesian inference. Instead of estimating the parameter, we consider selecting a element from the set of possible parameters obtained by categorizing the parameter space. This approach simplifies the detection algorithm and reduces the computational time to detect change points. Since the parameter space is (0, 0.5), there is no big difference between the result of parameter estimation and selection under a proper fractionation of the parameter space. The analysis of Nile river data showed the validation of the proposed method.

• Journal of Korean Library and Information Science Society
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• v.44 no.1
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• pp.177-199
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• 2013

Using a qualitative multimethod approach, this study was to construct a substantive theory about occupational socialization of librarians. Through theoretical sampling, 42 participants were in-depthly interviewed at three studies, i. e., phenomenological, ethnographic, and grounded theory approach. These data were analyzed and finally integrated using grounded theory approach. 'Acquiring Social Recognition as Information Professionals' was emerged the core category for describing and guiding the occupational socialization process. Six patterns were discovered: 'the Beliefs', 'the Seeking-Success', 'the Work-Obiligations', 'The Stucked', 'the Self-Pride', 'The Frustrated' Also, it discussed characteristics and socialization strategies of the pattern.

• 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.