ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN

Structural Equation Model (SEM) with latent variable is a powerful tool for social and behavioral scientists, because it combines a lot of psychometrics and econometrics into a single framework. The estimator often used in SEM is Maximum Likelihood Estimator (MLE). When the high properties desired,...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: , MIFTAHULKHAIRAH, , Dr. Abdurakhman, M.Si.
التنسيق: Theses and Dissertations NonPeerReviewed
منشور في: [Yogyakarta] : Universitas Gadjah Mada 2014
الموضوعات:
ETD
الوصول للمادة أونلاين:https://repository.ugm.ac.id/128773/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69139
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spelling id-ugm-repo.1287732016-03-04T07:59:51Z https://repository.ugm.ac.id/128773/ ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN , MIFTAHULKHAIRAH , Dr. Abdurakhman, M.Si. ETD Structural Equation Model (SEM) with latent variable is a powerful tool for social and behavioral scientists, because it combines a lot of psychometrics and econometrics into a single framework. The estimator often used in SEM is Maximum Likelihood Estimator (MLE). When the high properties desired, the MLE and the other full information estimators will otherwise remain lacked. The main thing is that when a part of the model misspecified, almost always the case. The bias can be spread on the specific model, because the model parameter estimation is conducted simultaneously. With these reasons, the optional alternative study is continuous limited information estimator [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , MIFTAHULKHAIRAH and , Dr. Abdurakhman, M.Si. (2014) ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69139
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic ETD
spellingShingle ETD
, MIFTAHULKHAIRAH
, Dr. Abdurakhman, M.Si.
ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN
description Structural Equation Model (SEM) with latent variable is a powerful tool for social and behavioral scientists, because it combines a lot of psychometrics and econometrics into a single framework. The estimator often used in SEM is Maximum Likelihood Estimator (MLE). When the high properties desired, the MLE and the other full information estimators will otherwise remain lacked. The main thing is that when a part of the model misspecified, almost always the case. The bias can be spread on the specific model, because the model parameter estimation is conducted simultaneously. With these reasons, the optional alternative study is continuous limited information estimator
format Theses and Dissertations
NonPeerReviewed
author , MIFTAHULKHAIRAH
, Dr. Abdurakhman, M.Si.
author_facet , MIFTAHULKHAIRAH
, Dr. Abdurakhman, M.Si.
author_sort , MIFTAHULKHAIRAH
title ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN
title_short ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN
title_full ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN
title_fullStr ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN
title_full_unstemmed ESTIMATOR TWO STAGE LEAST SQUARES (2SLS) PADA MODEL PERSAMAAN STRUKTURAL DENGAN VARIABEL LATEN
title_sort estimator two stage least squares (2sls) pada model persamaan struktural dengan variabel laten
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2014
url https://repository.ugm.ac.id/128773/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69139
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