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,...
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| Main Authors: | , |
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| 格式: | Theses and Dissertations NonPeerReviewed |
| 出版: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| 主題: | |
| 在線閱讀: | 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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| 總結: | 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 |
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