• Title, Summary, Keyword: 탐색적 요인분석

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The Study on the comparative analysis of EFA and CFA (탐색적요인분석과 확인적요인분석의 비교에 과한 연구)

  • Choi, Chang Ho;You, Yen Yoo
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.103-111
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    • 2017
  • This study was performed with a view to examine the nature and difference of EFA(Exploratory Factor Analysis) and CFA(Confirmatory Factor Analysis), and to compare the analysis process and result of EFA and CFA with the same data. The result of empirical analysis was as follows. Meanwhile, p.1, p.3 was removed owing to hampering the convergent validity in EFA, p.3 was removed owing to hampering the discriminent validity in CFA. EFA was reduction process of muti measurement variables to a few factor, but CFA was understanding and confirmatory process of measurement and latent variables' relation. Eventually, this study showed that EFA and CFA used different methology, thus the different outcomes appeared although using the same data, and implicated resonable application of methology according to given data.

Revisiting the validities of the Perfectionism Scale (완벽주의 척도의 타당도 재검증)

  • Rhee, Ki-Jong;Kim, Eun-Joo
    • Proceedings of the Korean Association for Survey Research Conference
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    • pp.239-262
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    • 2006
  • 이 연구는 Hewitt과 Flett(1991c), 이기종(2006)이 제안한 완벽주의 척도 연구모형의 타당도를 확인적 요인분석을 통해 검증하고, Hewitt과 Flett(1991c)이 개발한 완벽주의 척도의 문항이 몇 개의 요인으로 구성되는지 알아보기 위해 탐색적 요인분석을 실시하였다. 확인적 요인분석 결과 Hewitt과 Flett(1991c), 이기종(2006)이 각각 제안한 연구모형과 수집된 자료가 잘 합치하지 않았다. 따라서 자료에 모형이 잘 맞도록 모형을 수정해야 하고, 의미 없는 자유모수가 모형에서 나타나지 않도록 모형을 다시 설정해야 함을 알 수 있다. 또한 Hewitt과 Flett(1991c)이 개발한 완벽주의 척도의 탐색적 요인분석을 통해 완벽주의 척도의 각 문항들이 완벽주의를 측정하는데 있어서 단일요인으로 제 기능을 하기 보다는 여러 문항에 걸쳐 공통요인이 존재함을 알 수 있다. 따라서 확인적 요인분석과 탐색적 요인분석을 통해 Hewitt과 Flett(1991c)이 개발한 완벽주의 척도가 측정하는 요인은 3개 요인으로 설명될 수 없다고 판단된다. 그러므로 Hewitt과 Flett(1991c)이 개발한 완벽주의 척도의 측정 문항이 수정되어야 하고, 나가서 우리의 사회 문화적 실정을 고려한 완벽주의 척도의 개발이 시급함을 알 수 있다.

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Identifying Variables that Affect Learners' Preference Toward E-Learning Program (e-러닝 프로그램 선호 영향변인에 관한 탐색적 요인분석)

  • Lee, Youngmin
    • 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).

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A Study on Road Characteristic Classification using Exploratory Factor Analysis (탐색적 요인분석을 이용한 도로특성분류에 관한 연구)

  • Cho, Jun-Han;Kim, Seong-Ho;Rho, Jeong-Hyun
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.53-66
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    • 2008
  • This research is to the establishment of a conceptual framework that supports road characteristic classification from a new point of view in order to complement of the existing road functional classification and examine of traffic pattern. The road characteristic classification(RCC) is expected to use important performance criteria that produced a policy guidelines for transportation planning and operational management. For this study, the traffic data used the permanent traffic counters(PTCs) located within the national highway between 2002 and 2006. The research has described for a systematic review and assessment of how exploratory factor analysis should be applied from 12 explanatory variables. The optimal number of components and clusters are determined by interpretation of the factor analysis results. As a result, the scenario including all 12 explanatory variables is better than other scenarios. The four components is produced the optimal number of factors. This research made contributions to the understanding of the exploratory factor analysis for the road characteristic classification, further applying the objective input data for various analysis method, such as cluster analysis, regression analysis and discriminant analysis.

Study of Factor Validity of Korean Version Self-Compassion (한국판 자기자비 척도의 요인 타당성 연구)

  • Ku, Do-Yeon;Jung, Min-Chul
    • The Journal of the Korea Contents Association
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    • v.16 no.9
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    • pp.160-169
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    • 2016
  • Self-Compassion(SCS) Scale is developed by Neff(2003a) and translated by Kim, Lee, Cho, Chae, Lee(2008). But, there is the limitation with validation SCS and Korean version Self-Compassion(K-SCS) performed in college students and the incoherence for the results of the scale's factor analysis in other countries. Therefore, this study examined the validity of factor structure in SCS based on data in 435 adult aged from 18 to 79. For this, we conducted exploratory factor analysis(EFA) and confirmatory factor analysis(CFA), and we examined the each adequacy of two-factor, tree-factor and six-factor model. The result of EFA supported six-factor and the result of CFA was the six factor model best as well.

Development of Measurement Tool for Students with Nurological Problems (뇌신경생물학적 문제로 발생하는 학습 부진 (난독증)검사도구 개발)

  • Song, Hong-Jun;Lee, Byung-Kwan;Hyun, Sang-Tae
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.374-385
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    • 2015
  • This purpose of study is to develop a dyslexia check list for students in middle and high school. To ensure the contents validity, researching related studies was conducted, and then factors and items were made under the 5 experts advisory. The pilot test was done on 265 students who are in middle and high school. To obtain the reliability, SPSS 21,0 was conducted as exploratory factor analysis and to confirm the goodness of fit test, AMOS 7.0 was done as confirmatory factor analysis. The results of study are as below, firstly, 8 measure factors and 34 items were ensured. Secondly, in exploratory analysis, Crombach ${\alpha}=.920$ was obtained, it was high value. Thirdly. in confirmatory factor analysis, the absolute fit index : GFI=.920, RMR=.057, RMSEA=.062 and incremental fit index : CGI=.960, TLI=.977 were ensured. Above results, the developed measurement tool for students in middle and high school in this study was confirmed as a suitable one.

Analysis of Influential Factors in the Relationship between Innovation Efforts Based on the Company's Environment and Company Performance: Focus on Small and Medium ICT Companies (기업의 환경적 특성에 따른 혁신활동과 기업성과간 영향요인 분석 : ICT분야 중소기업을 중심으로)

  • Kim, Eun-jung;Park, Ho-young
    • Proceedings of the Korea Technology Innovation Society Conference
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    • pp.989-1018
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    • 2017
  • 본 연구에서는 내 외부 환경, 혁신활동이 기업성과에 어떠한 영향을 미치는지를 파악하기 위해 탐색적 요인분석(Exploratory Factor Analysis), 군집분석(Cluster Analysis), 구조방정식모형(Structural Equation Modeling)을 이용하여 실증분석을 실시하였다. 탐색적 요인분석을 통해 7개의 요인이 추출하였으며, 추출된 요인을 기반으로 군집분석을 시도하였더니 총 4개의 군집(n=1,022)이 형성되었다. 군집 4개의 대해 구조방정식 모형을 활용하여 실증분석을 한 결과, 기술 경쟁 환경에 민감하며, 혁신적인 성향을 가진 군집1은 자체기술개발만이 기업성과에 긍정적 영향을 미치는 것으로 나타났다. 시장 환경에 민감하며, 내향적인 성향을 가진 군집2는 자체기술개발과 공동연구를 통해서만 기업성과에 긍정적 영향을 미치는 것으로 나타났다. 경쟁적인 환경에 민감하며, 혁신적이고 정부/관련기관과의 협력적 성향을 가진 군집3은 공동연구 그리고 매개변수인 정부지원프로그램 활용을 통해 기업성과에 긍정적 영향을 미치는 것으로 나타났으며, 기술도입은 기업성과에 부정적 영향을 미치는 것으로 나타났다. 개방적이고 외부협력적 성향이 강한 군집4는 자체기술개발과 매개변수인 네트워크 활용 및 정부지원프로그램 활용이 기업성과에 긍정적 영향을 미치는 것으로 나타났다.

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A Comparison between Factor Structure and Semantic Representation of Personality Test Items Using Latent Semantic Analysis (잠재의미분석을 활용한 성격검사문항의 의미표상과 요인구조의 비교)

  • Park, Sungjoon;Park, Heeyoung;Kim, Cheongtag
    • Korean Journal of Cognitive Science
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    • v.30 no.3
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    • pp.133-156
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    • 2019
  • To investigate how personality test items are understood by participants, their semantic representations were explored by Latent Semantic Analysis, In this thesis, Semantic Similarity Matrix was proposed, which contains cosine similarity of semantic representations between test items and personality traits. The matrix was compared to traditional factor loading matrix. In preliminary study, semantic space was constructed from the passages describing the five traits, collected from 154 undergraduate participants. In study 1, positive correlation was observed between the factor loading matrix of Korean shorten BFI and its semantic similarity matrix. In study 2, short personality test was constructed from semantic similarity matrix, and observed that its factor loading matrix was positively correlated with the semantic similarity matrix as well. In conclusion, the results implies that the factor structure of personality test can be inferred from semantic similarity between the items and factors.

Analysis of Space Cognition and Use Characteristics on Premium Outlet Shopping Mall -Focused on Exploratory Factor Analysis on Visitor's Behavior- (프리미엄 아웃렛 쇼핑몰의 공간지각 및 이용 특성분석 -방문자의 탐색적 요인분석을 중심으로-)

  • Park, Tae-Won;Lee, Deok-Jo;Park, Seung-Kyoo
    • The Journal of the Korea Contents Association
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    • v.12 no.6
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    • pp.486-496
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    • 2012
  • In recent years, the retail industry has been undergoing major shifts. Outlet malls are an important part of the new retail landscape. This paper seeks to increase the understanding of the shopping experiences of visitors to a Premium outlet shopping mall in Shinsagae Chelsea Premium Outlet at Paju City, Gyeongi-do. This paper analyze the Element of the premium outlet across demographics. It explores seven critical factors which significantly influence customers' perceptions of premium outlet. Findings are base on a mall intercept survey with 292 respondents across a range of demographics. The summary of 7 factor is classified as the visual, location, Shopping support, human traces, mood, transit expedience, and tenant. The main implication of these findings is that factory outlet stores are perceived favourably and that they need to build more positive marketing strategies accordingly.

A Study on the Validation of Destructive Leadership Scale of Local Police Manager (지역경찰 현장관리자의 파괴적리더십 척도의 타당성 연구)

  • Park, Jin-Woo;Lee, Chang-Han;Shim, Myung-Sub
    • Korean Security Journal
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    • no.51
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    • pp.39-58
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    • 2017
  • The purpose of this study is to verify the validation of the Korean-type destructive leadership scale in order to activate the leadership research of local police manager in Korea. For the purpose of this study, the entire police officer(under the rank of sergeant) working at the Gyeongnam Provincial Police Agency in 2017 was set up as the population. A proportional allocation sampling was used for the sampling, and the allocation standard was set up in the workplace, department, rank, and sex. Data collection was conducted from April 1, 2017 to April 30, 2017, for a total of 500 respondents, and 433 were finally used for actual analysis. In the study, reliability and validity of destructive leadership scale were verified through reliability analysis, exploratory factor analysis, and confirmatory factor analysis. As a result, the destructive leadership scale of Korean local police manager showed a high cronbach' ${\alpha}$ coefficient of 0.948 for the questionnaire related load and 0.974 in the questionnaire related organization, but, the model fit of confirmatory factor analysis was low. Therefore, through additional exploratory factor analysis and confirmatory factor analysis, we reconstructed 6 questionnaires by deleting 4 questionnaires among the load-related items. On the other hand, the organization-related items were verified to be appropriate for all of the existing 10 items, and the destructive leadership scale of Korean local police manager was finally reconstructed into 16 items with 2 factors. This study also confirmed that the above reconstruction model is statistically suitable. The destructive leadership scale of Korean local police manager can be used as the basic data of leadership research to be conducted in the future.

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