• Journal of Digital Convergence
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• v.13 no.10
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• pp.121-133
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• 2015

This tutorial presents an approach to perform the covariance based structural equation modeling using the R. For this purpose, the tutorial defines the criteria for the covariance based structural equation modeling by reviewing previous studies, and shows how to analyze the research model with an example using the "lavaan" which is the R package supporting the covariance based structural equation modeling. In this tutorial, a covariance-based structural equation modeling technique using the R and the R scripts targeting the example model were proposed as the results. This tutorial will be useful to start the study of the covariance based structural equation modeling for the researchers who first encounter the covariance based structural equation modeling and will provide the knowledge base for in-depth analysis through the covariance based structural equation modeling technique using R which is the integrated statistical software operating environment for the researchers familiar with the covariance based structural equation modeling.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.1
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• pp.387-394
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• 2019

Recently, the importance of big data has been increased, and demand for data analysis for the big data is also increased. R language is developed for data analysis, and users are analyzing data by using algorithms of various statistics, machine learning and data mining packages in R language. However, it is difficult to develop an application using R. Early study proposed a method to call R script through another language such as PHP, Java, and so on. However, it is troublesome to write such a development method in addition to R in combination with other languages. In this study, we introduce how to write API using only R language without using another language by using Plumber package. We also propose a solution for security issues related with R API. If we use propose technology for developing web application, we can expect high productivity, easy of use, and easy of maintenance.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.485-493
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• 2014

The purpose of this study is to examine the statistical errors, which may occur in the process of applying statistics, by major stage of research, for greatly contributing to promoting research power through rightly utilizing statistics at the point of time that the application of statistics is increased in the research of clothing and textiles. As a result, it confirmed that there are many errors by each stage. First, it is a point that there was not any research that mentioned on the impact of analysis in the researches, which test the appearance of significance based on the collected data through experiment or survey. Second, the existence of mechanical description which is monotonous as well as not applying right analytical method in factor analysis. Also, even in case of cross tabulation, there was no hypothesis establishment.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.399-414
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• 2014

The library manager's communication ability can influence organizational management because the types and ways of organizational management is carried out can be determined by the manager's communication ability. In that, this study intends to examine the influence of the library manager's communication ability on job performance and role-conflict of the library staff. To do so, on top of the conceptual framework of communication and the library as an organization, this study builds theoretical underpinnings on the library manager's communication ability, job performance and role-conflict of the library staff. Using a questionnaire survey method, this study surveys 127 library staff from 8 public libraries in Seoul, statistically analyzes the response through the SPSS20 statistical package, and examines the relationship between and among the variables. Based on the analysis, a discussion on the influence of the library manager's communication ability on job performance and role-conflict of the library staff follows.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.85-95
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• 2017

The news media report the pledges of presidential candidates, which have important implications for political communication. This study is to investigate the difference between news coverage on the presidential candidate' s pledge and to discuss its implications. The sampled news from the two newspapers were analyzed for content analysis. Frequency analysis and Chi-square analysis are utilized with SPSS. As results, there was no difference in the tone of the article's headlines, but the difference of the tone between the article content was statistically significant. The results means that the media framing affect on the reader's perception. Follow - up study can be suggested a comparative study of past election candidates 'pledge reports, a network analysis for the news language, and a comparative analysis of newspaper coverage and broadcast coverage.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.2
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• pp.109-126
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• 2018

Librarians, who provide the public with library services at public libraries, are employees whose jobs are often require emotional labor. The emotional labor of librarians working at public libraries can result in stresses caused by the discrepancy between the library's emotional requirements and the librarian's personal emotions, which may influence organizational effectiveness, such as organizational commitment and job satisfaction. In that, this study intends to examine the influence of emotional labor on the organizational commitment and job satisfaction of librarians working at public libraries. To do so, based upon the conceptual underpinning through literature reviews of librarians working at public libraries and emotional labor, this study constructs a theoretical framework of organizational commitment and job satisfaction of librarians. Using a questionnaire survey method, this study surveys 238 public library staff from 33 public libraries in the Seoul metropolitan area, statistically examines the response through the SPSS20 statistical package, and analyzes the relationship between and among the variables. Based on the analysis, discussion on the influence of the emotional labor on organizational commitment and job satisfaction of librarians working at public libraries follows.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.199-206
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• 2018

The study objective was to understand the effects of self-efficacy and occupational value on the major satisfaction of pre-service childcare teachers. A questionnaire survey was conducted targeting 281 pre-service childcare teachers in A city. In the study results, first, pre-service childcare teachers highly perceived the self-regulatory efficacy and confidence of self-efficacy, the intrinsic value of occupational value, and the general satisfaction and perception satisfaction of major satisfaction. Second, there were statistically significant correlations between self-efficacy, occupational value, and major satisfaction of pre-service childcare teachers. Third, the self-efficacy and occupational value of pre-service childcare teachers had positive effects on the major satisfaction. Based on these study results, there should be more diverse research for the formation of proper self-efficacy and correct occupational value, so that students majoring in childcare could perceive the importance of major satisfaction and also perform their childcare jobs with high-quality.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.383-396
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• 2018

Various parallel processing R packages are used for fast processing and the analysis of big data. Parallel processing is used when the work can be decomposed into tasks that are non-interdependent. In some cases, each task decomposed for parallel processing can also be decomposed into non-interdependent subtasks. We have to choose whether to parallelize the decomposed tasks in the first step or to parallelize the subtasks in the second step when facing nested parallelism situations. This choice has a significant impact on the speed of computation; consequently, it is important to understand the nature of the work and decide where to do the parallel processing. In this paper, we provide an idea of how to apply parallel computing effectively to problems by illustrating how to select a parallelism point for the bandwidth selection of nonparametric regression.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.161-171
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• 2017

In recent years, the authenticity of leaders has become an important issue in leadership research. It is because the sincerity of the leader exerts a great influence on the behavior, attitude and performance of members of the organization. This study examines the effect of authentic leadership on organizational commitment, organizational citizenship behavior and job performance, and empirically analyzes whether the effect varies depending on public organizations and private organizations. The survey administered through a questionnaire was conducted for members of public corporations and private companies in Korea. Of the collected questionnaires, 444 were used in the analysis. Empirical results were verified by factor analysis and regression analysis using SPSS/WIN 23.0 and STATA 14.0. Results show that leadership had a positive effect on organizational commitment, organizational citizenship behavior, and job performance and the effect was significant in both public and private organizations.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1077-1094
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• 2016

Apache Spark is a fast and general-purpose cluster computing package. It provides a new abstraction named resilient distributed dataset, which is capable of support for fault tolerance while keeping data in memory. This type of abstraction results in a significant speedup compared to legacy large-scale data framework, MapReduce. In particular, Spark framework is suitable for iterative machine learning applications such as logistic regression and K-means clustering, and interactive data querying. Spark also supports high level libraries for various applications such as machine learning, streaming data processing, database querying and graph data mining thanks to its versatility. In this work, we introduce the concept and programming model of Spark as well as show some implementations of simple statistical computing applications. We also review the machine learning package MLlib, and the R language interface SparkR.