• 산경연구논집
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• 제10권5호
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• pp.7-20
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• 2019

Purpose - This study provides appropriate procedures for EFA to help researchers conduct empirical studies by using PLS-SEM. Research design, data, and methodology - This study addresses the absolute and relative sample size criteria, sampling adequacy, factor extraction models, factor rotation methods, the criterion for the number of factors to retain, interpretation of results, and reporting information. Results - The factor analysis procedure for PLS-SEM consists of the following five stages. First, it is important to look at whether both the Bartlett test of sphericity and the KMO MSA meet the qualitative criteria. Second, PAF is a better choice of methodology. Third, an oblique technique is a suitable method for PLS-SEM. Fourth, a combined approach is strongly recommended to factor retention. PA should be used at the onset. Next, it is recommended using the K1 criterion. In addition, it is necessary to extract factors that increase the total variance explanatory power through the PVA-FS. Finally, it is appropriate to select an item with a factor loading into 0.5 or higher and a communality of 0.5. Conclusions - It is expected that the accurate factor analysis processed for PLS-SEM as previously presented will help us extract more precise factors of the structural model.

• Clinical and Experimental Pediatrics
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• 제65권2호
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• pp.90-97
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• 2022

Background: Stunting is affected by various factors from mother and child. Previous studies assessed only one or more influencing variables. Unfortunately, nor the significant influence of maternal and child factors nor the indicators contributing to maternal and child factors that affect the stunting incidence have ever been analyzed. Purpose: This study analyzed the effect of maternal and child factors on stunting and the significant indicators that shape the maternal and child factors that impact stunting. Methods: This was a case-control study. Overall, 132 stunted children and 132 nonstunted children in Purbalingga Regency, Central Java Province, participated in the research. Direct interviews and medical record reviews were conducted to assess the studied variables. The research data were tested using the partial least squares structural equation with a formative model. Results: Maternal factors directly affected the occurrence of stunting (t=3.527, P<0.001) with an effect of 30.3%. Maternal factors also contributed a significant indirect effect on stunting through child factors (t=4.762, P<0.001) with an effect of 28.2%. Child factors affected the occurrence of stunting (t=5.749, P<0.001) with an effect of 49.8%. The child factor was influenced by maternal factor with an effect of 56.7% (t=10.014, P<0.001). The moderation analysis results demonstrated that maternal and child factors were moderate predictive variables of stunting occurrence. Conclusion: Child factors have more significant and direct effects on stunting than maternal factors but are greatly affected by them.

• 한국수자원학회논문집
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• 제54권3호
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• pp.145-156
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• 2021

우리나라와 세계 곳곳에서는 대형 산불이 빈번하게 발생하고 있으며, 이로 인한 피해가 증가하고 있다. 우리나라에서 산불은 대부분 입산자 실화, 소각 산불 등의 인위적인 원인으로 발생하지만, 기온과 습도, 풍속 등의 기상인자는 산불의 연소 환경에 큰 영향을 미친다. 본 연구에서는 최근 5년간 경기도 지역에서 발생한 산불을 바탕으로, 산불 발생에 영향을 미치는 요인으로 온도, 습도, 풍속, 강수, 가뭄 요인을 선정하여 이들 간의 인과관계를 정량적으로 평가하였다. 분석을 위한 기법으로 인과관계의 발견 및 잠재변수의 예측에 적합한 부분최소제곱 구조방정식모형을 활용하였다. 연구 모형의 평가 결과, 본 연구에서 구축한 측정모형과 구조모형은 6가지 평가기준 모두에서 통계적으로 유의한 것으로 나타났다. 영향정도를 표준화된 경로계수로 표현하면, 기상학적 요인인 습도, 온도 그리고 풍속은 산불 발생에 각각 -0.42, 0.23, 0.15만큼의 영향을 나타내며, 수문학적 요인인 가뭄은 산불 발생에 0.23만큼의 영향요인으로 작용하는 것으로 나타났다. 따라서 본 연구는 실제 적용가능한 방법으로써 산불 영향요인의 분석과 이에 대한 평가, 그리고, 산불 재난의 대응·대비 계획 수립에 활용될 수 있을 것이다.

• 경영정보학연구
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• 제16권3호
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• pp.89-112
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• 2014

본 튜토리얼은 PLS 경로분석 수행을 지원하는 R 패키지인 "plspm"을 이용하여 구조방정식모형을 분석하는 방법을 제시하고 있다. 본 튜토리얼에서는 이를 위해 기존 연구들에서 제시하고 있는 PLS구조방정식모형을 분석하기 위한 기준들을 정의하고, 하나의 예시 연구모형을 제시하여 실질적으로 R을 이용하여 이 예시 모형을 분석하는 것을 보여준다. 본 튜토리얼은 PLS를 처음 접하는 연구자들에게는 연구모형에 대한 실증분석을 위한 유용한 가이드가 될 것이며, 이미 PLS에 익숙한 연구자들에게는 R을 이용한 새로운 PLS 구조방정식모형 분석기법 제시를 통하여 R이라는 통합된 통계 소프트웨어 운영환경에서 심도 있는 분석을 위한 기반 지식을 제공할 것이다.

• Asia pacific journal of information systems
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• 제33권2호
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• pp.367-388
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• 2023

This study aimed to examine the factors of information-sharing intention on social networking sites (SNSs) by integrating the perspectives of the institution-based trust, social presence, and theory of reasoned action (TRA). An empirical survey was conducted and 364 valid respondents were collected from Facebook (FB) users in Taiwan. These data were analyzed against the research model using the partial least squares (PLS) structural equation modeling. The findings revealed that situational normality and structural assurance have a positive influenced user trust in SNSs which in turn increased their information-sharing attitudes. Furthermore, the subjective norms, user information-sharing attitudes and social presence of the SNSs were shown to have a positive influenced on user information sharing intention. Finally, this study provided several important theoretical and practical implications to understand factors affecting information-sharing intention on SNSs.

• 중환자간호학회지
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• 제17권1호
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• pp.30-43
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• 2024

Purpose : Post-intensive care syndrome (PICS) is characterized by a constellation of mental health, physical, and cognitive impairments, and is recognized as a long-term sequela among survivors of intensive care units (ICUs). The objective of this study was to explore the impact of intensive care experience (ICE) on the development of PICS in individuals surviving critical care. Methods : This secondary analysis utilized data derived from a prospective, multicenter cohort study of ICU survivors. The cohort comprised 143 survivors who were enrolled between July and August 2019. The original study's participants completed the Korean version of the ICE questionnaire (K-ICEQ) within one week following discharge from the ICU. Of these, 82 individuals completed the PICS questionnaire (PICSQ) three months subsequent to discharge from hospital. The influence of ICE on the manifestation of PICS was examined through Partial Least Squares-Structural Equation Modeling (PLS-SEM). Result : The R² values of the final model ranged from 0.35 to 0.51, while the Q² values were all greater than 0, indicating adequacy for prediction of PICS. Notable pathways in the relationship between the four ICE dimensions and the three PICS domains included significant associations from 'ICE-awareness of surroundings' to 'PICS-cognitive', from 'ICE-recall of experience' to 'PICS-cognitive', and from 'ICE-frightening experiences' to 'PICS-mental health'. Analysis found no significant moderating effects of age or disease severity on these relationships. Additionally, gender differences were identified in the significant pathways within the model. Conclusion : Adverse ICU experiences may detrimentally impact the cognitive and mental health domains of PICS following discharge. In order to improve long-term outcomes of individuals who survive critical care, it is imperative to develop nursing interventions aimed at enhancing the ICU experience for patients.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.335-341
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• 2021

This study aims to document empirically the individual factors that influence the intention to do whistleblowing. This study uses several variables, including internal locus of control, external locus of control, and whistleblowing intention. The use of the theory of Planned Behavior in this study is to explain and analyze the perception of behavior control as a determinant of whistleblowing intention. A quantitative research approach is used. The type of data in this study is primary data in the form of a questionnaire. The data collection method in this research is using the survey method. The sampling technique used a nonprobability sampling method, namely, the census method. The census method is the entire population sampled. The population in this study was all employees of the Pratama tax office in West Semarang. The research was conducted by distributing 111 questionnaires. Ninety-one valid questionnaires were returned appropriate for analysis. The data were processed using Partial Least Square-Structural Equation Modeling ((PLS-SEM) using the Warp PLS 7.0 program. WarpPLS 7.0 was used to test hypotheses and the relationship between variables. The study results showed that both internal locus of control and external locus of control affect whistleblowing intention.

• Safety and Health at Work
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• 제14권1호
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• pp.78-84
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• 2023

Background: Since the advent of the COVID-19 pandemic, physicians have been the unsung heroes of the pandemic. However, many are about to give up the battlefield. This study investigated the effect of occupational moral injury on physicians' career abandonment intention, taking into account the possible mediating role of emotional exhaustion. Methods: Cross-sectional data collected from 201 physicians were analyzed using the partial least squares structural equation modeling (PLS-SEM) with SmartPLS to determine the relationship among physicians' moral injuries, emotional exhaustion, and career abandonment intention. Results: The results indicated that occupational moral injury was positively related to emotional exhaustion and career abandonment intention. In addition, emotional exhaustion was found to play a mediating role in the relationship. Conclusion: To reduce physicians' intention to leave their career, physicians should be prepared for moral injury and psychological issues by offering psychological support and meeting their needs early at both the individual and organizational levels during and after the pandemic.

• 한국정보통신학회논문지
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• 제22권7호
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• pp.978-984
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• 2018

구조방정식 모델링은 경로분석 및 확인적 요인분석을 동시에 수행해 주는 통계적 절차를 따르고 있다. 오늘날이 통계적 절차는 사회과학 분야의 연구자에게 필수적인 도구이다. 구조방정식 모델링 분석을 해주는 대표적인 도구로는 AMOS, LISREL 그리고 PLS가 있다. AMOS는 초보자가 사용할 수 있도록 편리한 그래픽 사용자 인터페이스를 제공해 주고 있다. PLS는 그래픽 사용자 인터페이스뿐만 아니라 정규분포에 대한 제약조건도 없다는 장점을 가지고 있다. 또한 사회과학 분야에서 가장 많이 사용하는 3가지 도구 (applications)를 비교분석 하였다. 구조방정식 모델링 기반 확인적 요인 분석은 IBM AMOS Ver 23, LISREL 8.70 및 SmartPLS 2.0을 사용하였다. 구조방정식 모델링 비교 분석 결과는 LISREL이 다른 분석 도구보다 종속 변수의 설명력이 가장 높음을 확인할 수 있었다. 분석 결과에 의해 제시된 경로계수 값 및 T 값은 3가지 분석 도구 모두 유사한 결과를 보이는 것으로 나타났다. 따라서 이러한 결과를 바탕으로 이론적 실무적 시사점을 제시하였다.

• 디지털융복합연구
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• 제14권9호
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• pp.111-121
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• 2016

본 연구는 R을 이용하여 구조방정식모형에서 이중매개효과 분석을 수행하는 방안을 제시하고 있다. 이를 위해 본 연구에서는 매개효과 분석을 위한 다양한 기법들에 대한 문헌연구를 통해 부트스트랩 기법을 이중매개 효과분석을 수행하는데 있어서 가장 적합한 기법으로 선정하고, PLS 경로분석 수행을 지원하는 R패키지인 plspm을 이용하여 구조방정식모델링에서 부트스트랩 기반의 이중매개효과를 분석하는 방안을 개발했다. 결과물로 본 연구에서는 예시모형을 대상으로 한 이중매개효과 분석기법과 관련 R스크립트들이 제시되었다. 본 연구는 대부분의 SEM 패키지들에서 지원하지 못하는 구조방정식모델링에서의 이중매개효과 분석을 포함하는 연구들에서 유용하게 활용될 것이며, 또한 연구자들에게 R을 이용한 새로운 매개효과 분석기법 제시를 통하여 심도 있는 연구를 위한 기반 지식을 제공할 것이다.