• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.67-74
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• 2006

The purpose of this study is identifying variables that affect to learners' preference toward specific e-learning programs, using an exploratory factor analysis(EFA) method. We extract common factors that explain the correlations among variables. In the result, 8 factors were identified as main influential factors: e-learning program design(1st factor), the purpose of e-learning use(2nd factor), social and cultural issues(3rd factor), demographics(4th factor), organizational needs(5th factor), impacts of e-learning(6th factor), e-learning management(7th factor), and technical issue(8th factor).

• Fashion & Textile Research Journal
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• v.5 no.3
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• pp.260-266
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• 2003

The objective of this study is to compare the general body measurements and shoulder shapes of Korean and American elderly women to supply basic data for the apparel design. The anthropometrics data was collected including both direct and indirect measurements of 283 women over the age of 55 in Korean and the American women. The statistical methods used for the analysis of measurement data are the T-test, Exploratory data analysis, ANOVA and Duncan-test respectively. The results of the T-test indicated that there is a significant difference in the 14 body measurement items except of waist circumference. The results of exploratory data analysis, an independent relationship between shoulder slope angle and forward shoulder roll of Korean women. On the other hand, there is a dependent relationship that the bigger shoulder slope and forward shoulder roll with wide cross back shoulder of American women. Comparison of mean among the three different age groups, aged 55~59 group shows significant differences in the value of difference between cross back shoulders and horizontal shoulder width. This finding indicates that the wide and forward roll shoulder needs to special pattern making like ease amount and curvature for fit and comfort for women's apparel.

• Journal of Korean Clinical Nursing Research
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• v.29 no.2
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• pp.186-197
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• 2023

Purpose: The purpose of this study was to develop a scale to measure professionalism of clinical nurses and evaluate the reliability and validity of the scale. Methods: DeVellis's scale-development eight steps were applied. The initial items were developed through a literature review and discussion with investigators, and the content validity was verified by seven experts. The data were collected from 250 hospital nurses for exploratory factor analysis and 217 hospital nurses for confirmatory factor analysis. Exploratory and confirmatory factor analyses were utilized to assess the construct validity. Cronbach's ⍺ was used to test the internal consistency reliability. Results: The results of the exploratory and confirmatory factor analyses showed that the scale comprised four factors: professional skill(eight items), sense of ethics (five items), knowledge-seeking activities (four items), and autonomy(three items). The four-factor structure was validated (x 2 =600.85 p<.001, GFI=.88, CFI=.84, RMSEA=.07), and Cronbach's ⍺ for the total scale was .84. Conclusion: The study results showed satisfactory reliability and validity of the professionalism measurement scale for clinical nurses. This scale has potential as an appropriate instrument for measuring clinical nurse professionalism.

• Journal of People, Plants, and Environment
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• v.22 no.6
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• pp.621-628
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• 2019

The purpose of this study was to investigate the reliability and validity of the Korean version of the Connectedness to Nature Scale(K-CNS), which was translated from the Connectedness to Nature Scale(CNS) developed by Mayer and Frantz. For this study, questionnaires were conducted with a sample of 407 Korean citizens from various backgrounds and regions, with the ages ranging from 17 to 60. Exploratory factor analysis, internal consistency test and correlation checks were conducted on this questionnaires data. The results of exploratory factor analysis supported that the K-CNS has 10 items in a single factor. The internal consistency of the K-CNS was .880. The K-CNS was positively correlated to the NEP (New Environmental Paradigm), satisfaction with life, mental health, compassionate love, and negatively correlated to stress response. In addition, differences were found by group and age, but not by the gender. The K-CNS was higher in the natural-friendly group than in the general group. By age, the K-CNS scores was high in 40s and 50s than 10-39 years old.

• The Mathematical Education
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• v.56 no.4
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• pp.407-434
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• 2017

The purpose of this study is to develop and verify the TPACK measurement tool for middle and high school mathematics teachers in the Korean context. Also, by clarifying the relationship between subordinate factors of Mathematics teachers' TPACK, an attempt was made to provide suggestions on the designs and directions for the in-service and pre-service teacher education and the programs for improving mathematics teachers' TPACK in the future. In order to achieve this goal, TPACK factors of mathematics teachers were extracted by reviewing literature on PCK, MKT, and TPACK. Then, content validity, basic statistical survey, reliability verification, exploratory factor analysis, confirmatory factor analysis, and structural equation model verification were conducted sequentially. At first, preliminary analysis was carried out on 79 mathematics teachers, and 76 items excluding the items with extreme value and reliability were included in the basic statistical analysis. And secondly, an exploratory factor analysis was conducted on 376 mathematics teachers, and this instrument consisted of 7 subordinate factors(CK, PK, TK, PCK, TCK, TPK, TPACK) and 61 items. Also by conducting confirmatory factor analysis and structural equation model test with 254 mathematics teachers, the measurement tool was confirmed the validity and reliability through statistically significant analysis. Then, the importance of integrated knowledge was confirmed by looking at the relationship between the TPACK factors of in-service mathematics teachers. The integrated knowledge(PCK, TCK, TPK) has played a crucial role in the formation of TPACK rather than the knowledge of CK, PK, and TK alone. Finally, the validity of TCK was confirmed through the structural equation modeling of TPACK. TCK not only directly affected TPACK, but also indirectly through TPK. According to these affirmative results, this measurement tool is claimed to be suitable for measuring the factors of Mathematics teachers' TPACK, and also the structural equation model can be regarded as a suitable model for analyzing the structural relationship of mathematics teachers' TPACK.

• Korean Security Journal
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• no.43
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• pp.99-120
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• 2015

This research aimed at analyzing health behavior of private security guards applying planned behavioral theory. In order to achieve the above purpose, this research conducted purposive sampling on the security guards who live in Seoul Gyeonggi region. Excluding unfaithful response and abnormal outlier, material of 187 persons was used for analysis. As the concrete analysis method, multiple regression analysis and logistic regression analysis to presume exploratory factory analysis(EFA), Polyserial Exploratory Factor Analysis(EFA), Polyserial correlation analysis, and causal relationship between each variable. The result can be summarized as follows. First, attachment, attitude subjective standard on behavior, perceived behavioral control appeared to positively influence affirmative(+) effect on health behavior continuance will. Second, attachment had no meaningful influence attitude toward behavior. Third, attachment had affirmative(+) influence on health behavior continuance will. Fourth, perceived behavioral control had affirmative(+) influence on realization of health behavior, possibility of practising health behavior increased by about 62.9% when perceived behavioral control increased by 1 unit.

• Journal of Digital Convergence
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• v.5 no.1
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• pp.77-89
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• 2007

The purpose of this exploratory study is to analyze the modelling behavior of public type quasi-government sector CEO, The results of this study on the 100 CEO is as followes: 1) Such behavior as pointed by government is more frequently practiced by CEO of the quasi-government sector. 2) The general level of modelling behavior by CEO doesn't meet the general expectations in spite of the many efforts of the CEO, Lastly, the summary and implications of this study is followed.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.295-300
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• 1998

Recently graphical modelling is being studied as a useful process analysis tool for exploratory causal analysis. Graphical modelling is a presentation method that uses graphs to describe statistical models of the structures of multivariate data. This paper describes an application of this graphical modeling with two cases from the automotive parts industry. One case is the unbalance problem of the pulley, an automotive generator part. There is multivariate data of the product from each of the processes which are connected in the series. By means of exploratory causal analysis between the variables using graphical modeling, the key processes which causes the variation of the final characteristics and their mechanism of the causal relationship have become clear. Another case is, also, the unbalanced problem of automotive starter parts which consists of many parts and is manufactured by complex machinery and assembling process. By means of the similar technique, the key processes are obtained easily and the results are reasonable from technical knowledge.

• Communications for Statistical Applications and Methods
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• v.22 no.3
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• pp.265-276
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• 2015

In this paper, we propose hierarchical cluster analysis and multidimensional scaling for joint distribution valued data. Information technology is increasing the necessity of statistical methods for large and complex data. Symbolic Data Analysis (SDA) is an attractive framework for the data. In SDA, target objects are typically represented by aggregated data. Most methods on SDA deal with objects represented as intervals and histograms. However, those methods cannot consider information among variables including correlation. In addition, objects represented as a joint distribution can contain information among variables. Therefore, we focus on methods for joint distribution valued data. We expanded the two well-known exploratory methods using the dissimilarities adopted Hall Type relative projection index among joint distribution valued data. We show a simulation study and an actual example of proposed methods.

• Fashion, Industry and Education
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• v.15 no.2
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• pp.25-35
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• 2017

In this study, causal relationships of belief-attitude-purchase intention for unfamiliar-branded cosmetics (UBC) were tested based on the theory of reasoned action. Data of 249 consumers who have purchased UBC were submitted to the descriptive statistics, exploratory factor analysis, and regression analysis with SPSS. In results of exploratory analysis, three factors of beliefs on UBC were generated and titled as ingredients, publicity, and subsidiary features. In regression analysis results, ingredient factor affected attitude toward UBC while publicity and subsidiary features did not influence attitude toward UBC. It implies that consumers build their attitude toward brands focusing on ingredients that are core elements of cosmetic products. Attitude toward UBC solely influenced purchase intention while the effect of social acceptance on purchase intention was not found. In conclusion, consumers depend much on ingredients when they purchase UBC so brands newly launched or brands without reputations need to focus more on an excellence in ingredients and special functions of UBC to appeal to consumers when penetrating to the new market.