• Title/Summary/Keyword: endogenous latent variable

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A Stagewise Approach to Structural Equation Modeling (구조식 모형에 대한 단계적 접근)

  • Lee, Bora;Park, Changsoon
    • The Korean Journal of Applied Statistics
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    • v.28 no.1
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    • pp.61-74
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    • 2015
  • Structural equation modeling (SEM) is a widely used in social sciences such as education, business administration, and psychology. In SEM, the latent variable score is the estimate of the latent variable which cannot be observed directly. This study uses stagewise structural equation modeling(stagewise SEM; SSEM) by partitioning the whole model into several stages. The traditional estimation method minimizes the discrepancy function using the variance-covariance of all observed variables. This method can lead to inappropriate situations where exogenous latent variables may be affected by endogenous latent variables. The SSEM approach can avoid such situations and reduce the complexity of the whole SEM in estimating parameters.

Association between Eating Alone and Metabolic Syndrome: A Structural Equation Modeling Approach (홀로식사와 대사증후군의 관련성: 구조방정식 모형을 이용한 위험요인 분석)

  • Song, Soo-Yeon;Jeong, Yun-Hui
    • Journal of the Korean Dietetic Association
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    • v.25 no.2
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    • pp.142-155
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    • 2019
  • The aim of this study was to construct and test a structural equation model for the risk factors of metabolic syndrome in Korean adults. The structural equation model hypothesizes that eating alone and feeling depressed is a risk factor for metabolic syndrome. The data of this study were obtained from the Sixth Korea National Health and Nutrition Examination Survey which was cross-sectional data from the representative national survey. A total of 4,013 subjects replied to the survey item of lifestyle and completed the physical examinations among adults aged 19 years or older in South Korea was in 2015. The structural model in this study was composed of four latent variables: eating alone, depression, negative health behavior, and metabolic syndrome. Two variables, the rate of eating alone and depression, were exogenous variables. Negative health behavior was both a mediating variable and endogenous variable, and metabolic syndrome was the final endogenous variable. The data were analyzed using the Maximum Likelihood method and bootstrapping. The structural model was appropriate for the data based on the model fit indices. The results of this study can be summarized as follows: Eating alone is a direct risk factor of metabolic syndrome in Korean women. Depression can mediate metabolic syndrome through negative health behaviors. Negative health behavior had a direct impact on metabolic syndrome in both men and women. This study may be a guideline for interventions and strategies to reduce the incidence of metabolic syndrome in Korean adults.

The Relationship between Depression, Cognitive Failure, Mistakes, and Accidents of the Train Drivers: The Moderating Effect of Self-Efficacy (철도기관사의 우울증세, 인지실패, 실수와 사고 간의 관계: 자기효능감의 조절효과)

  • Ro, Choon-Ho;Shin, Tack-Hyun;Park, Min-Kyu;Ku, Seung-Hwan
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.81-88
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    • 2013
  • In Korean society, the theme of human errors in railway has been emerging as a critical issue. As far as human error studies are concerned, main trend has been inclined to be led by industrial engineering and systems science. Apart from those trends, this study empirically highlighted the relationship between depression, which has been a frequent research subject in the medical science and psychology, and accidents, with setting depression as an exogenous variable and cognitive failure and mistake as endogenous variables, respectively. Results of hypotheses test for the 204 respondents showed that driver's depression has a significant effect on accidents mediated by cognitive failure and mistake. This findings suggest the need for exploring the diverse latent factors causing human errors and for understanding the complex cognitive process as well as for establishing integrative countermeasures to mitigate human errors.