• Journal of the Korean Data and Information Science Society
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• v.16 no.3
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• pp.603-608
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• 2005

The purpose of this qualitative case study is to understand how the idea of data view and information graphics is used in the social studios middle school textbooks. Data were collected through national curriculum documents and social studies middle textbooks for 7-9 grades. We set up three questions for this studies; what kinds of information graphics are used in the textbooks, how the graphics are organized in the social studies middle school, and how the 7th social studies curriculum is related with the 7th national mathematics curriculum. Through the data analysis, we found that 1) Photographs, illustrations, information maps, etc., are used and frequencies of their usages are in descending order, 2) double lines graphs, circle graphs, and stripe graphs nip often adopted for the comparison of populations, 3) the relation of the two subjects curricula is not so good, especially in the curriculum steps of information mads scatter diagrams, and comparison of populations. Finally we suggest that new web site of data view or information graphics be provided for two curricula, workshop of information graphics are needed for social studies teachers.

• Communications for Statistical Applications and Methods
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• v.30 no.3
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• pp.331-341
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• 2023

Handling missing values in data analysis is essential in constructing a good prediction model. The easiest way to handle missing values is to use complete case data, but this can lead to information loss within the data and invalid conclusions in data analysis. Imputation is a technique that replaces missing data with alternative values obtained from information in a dataset. Conventional imputation methods include K-nearest-neighbor imputation and multiple imputations. Recent methods include missForest, missRanger, and mixgb ,all which use machine learning algorithms. This paper compares the imputation techniques for datasets with mixed datatypes in various situations, such as data size, missing ratios, and missing mechanisms. To evaluate the performance of each method in mixed datasets, we propose a new imputation performance measure (IPM) that is a unified measurement applicable to numerical and categorical variables. We believe this metric can help find the best imputation method. Finally, we summarize the comparison results with imputation performances and computational times.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.271-275
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• 2015

A variety of evaluation application and initiatives on the adoption of Building Information Modelling (BIM) have been introduced in recent years. Most of which however, focused mainly on evaluating design to construction phase-processes, or BIM utilization performances. Through studying existing publications, it is found that continuous utilization of BIM data throughout the building's life cycle is comparatively less explored or documented. Therefore, this study looks at improving this incomplete life cycle condition with the concept that accumulated BIM data should be carried forward and statistically quantified for cross comparison, in order to facilitate practitioners to better improve the projects the future. Based on this conceptual theory of moving towards a closedloop BIM building life cycle, this study explores, through existing literature, the use of cloud based computing as the means to quantify and adaptively utilize BIM data. Categorization of BIM data relations in adaptive utilization of BIM data is then suggested as a initial step for enhancing cross comparison of BIM data in a cloud environment.

• Journal of Distribution Science
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• v.17 no.5
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• pp.39-50
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• 2019

Purpose - The purpose of our study is to provide an understanding of the relationships among consumer attention to social comparison information (ATSCI), consumer ethnocentrism (CET), national identity (NI), and consumer purchase intention to domestic brands (PIDB). Drawing on the social comparison theory (SCT) and social identity theory (SIT), we developed a model that is empirically testable and explains consumer behavior of domestic brands and products. Research design, data, and methodology - The conceptual framework was tested with primary data collected through a survey in China. Structural equation modeling was employed to test hypotheses. Results - The results from empirical analyses indicated that the ATSCI positively influenced CET and NI, and CET and NI affect consumer PIDB. In addition, the mediating effects of CET and NI on the relationship between ATSCI and PIDB were identified. Nonetheless, little direct impact of ATSCI on PIDB was reported. Conclusions - We suggested that international marketers use given information to attract consumer attention and develop appropriate promotions, especially for Chinese young generations that would pay much attention to social comparison information in their purchase decisions. Our study originally connected one socio-psychological antecedent, ATSCI, with CET and NI and estimated the relationships among the three antecedents and their effects on PIDB in order to predict consumer behavior in China.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.1
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• pp.41-50
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• 2023

Purpose: The aim of this descriptive study was to identify the factors influencing depression risk among South Korean nursing students. Methods: The data were collected from nursing students attending two universities through web-based questionnaires that surveyed them about depression, academic stress, social network service (SNS) addiction tendency, and upward social comparison from August 22 to September 4, 2021. The collected data from 196 nursing students were analyzed by t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple linear regression. Results: The mean score of depression (using CES-D Korean version) among nursing students was 13.91, which denotes probable depression. Concerning the variance with regard to depression among nursing students, 20.2% was explained by clinical practice period, academic stress, and upward social comparison. Conclusion: Programs to relieve academic stress and depression should be developed in a simple way and systematically provided at the organizational level so that nursing students secure sufficient support during the initial and continuing period of clinical practicums. Concomitantly, an attempt to reduce the upward social comparison should be highly considered.

• Genomics & Informatics
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• v.4 no.1
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• pp.40-44
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• 2006

Toxicogenomics combines transcriptome, proteome and metabolome profiling with conventional toxicology to investigate the interaction between biological molecules and toxicant or environmental stress in disease caution. Toxicogenomics faces the problems of comparison and integration across different sources of data. Cause of unusual characteristics of toxicogenomic data, researcher should be assisted by data analysis and annotation for getting meaningful information. There are already existing repositories which claim to stand for toxicogenomics database. However, those just contain limited abilities for toxicogenomic research. For supporting toxicologist who comes up against toxicogenomic data flood, now we propose novel toxicogenomics knowledgebase system, XPERANTO-TOX. XPERANTO-TOX is an integrated system for toxicogenomic data management and analysis. It is composed of three distinct but closely connected parts. Firstly, Data Storage System is for reposit many kinds of '-omics' data and conventional toxicology data. Secondly, Data Analysis System consists of analytical modules for integrated toxicogenomics data. At last, Data Annotation System is for giving extensive insight of data to researcher.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.565-578
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• 2006

Repeated measurement data between two group is often used in the field of medicine study. In this paper, we suggest a method for comparison of the trend between two groups based on repeated measurement data. First, we estimate regression coefficient of linear regression model from each subject and generate samples using the regression coefficient estimated previous. And then, we test the difference between two groups by unpaired t-test, Wilcoxon rank sum test and placement test using generated samples. Monte Carlo Simulation is adapted to examine the power and experimental significance levels of several methods in various combinations.

• Journal of Korean Society for Quality Management
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• v.28 no.3
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• pp.1-10
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• 2000

In this paper, we address the Bayesian hypotheses testing for the comparison of Weibull distributions. In Bayesian testing problem, conventional Bayes factors can not typically accommodate the use of noninformative priors which are Improper and are defined only up to arbitrary constants. To overcome such problem, we use the recently proposed hypotheses testing criterion called the intrinsic Bayes factor. We derive the arithmetic and median intrinsic Bayes factors for the comparison of Weibull lifetime model and we use these results to analyze real data sets.

• Communications for Statistical Applications and Methods
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• v.14 no.2
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• pp.377-388
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• 2007

As one of multi-class classification methods, ECOC (Error Correcting Output Coding) method is known to have low classification error rate. This paper aims at suggesting effective multi-class classification method (1) by comparing various encoding methods and decoding methods in ECOC method and (2) by comparing ECOC method and direct classification method. Both SVM (Support Vector Machine) and logistic regression model were used as binary classifiers in comparison.

• Journal of the Korean Data and Information Science Society
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• v.19 no.1
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• pp.1-10
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• 2008

The purpose of this research is to compare whether SERVQUAL or SERVPERV AL scale is more excellent when explaining customer satisfaction and repurchase intention. The value of R2 which shows explaining power is used to test the excellence of the scale. As a result of comparison and analysis, SERVPERV AL scale showed better explaining power of customer satisfaction and repurchase intention than SERVQUAL. This result is because SERVPERV AL scale predicates overall estimation on utility of product/service.