title: METODE ESTIMASI PARTIAL LEAST SQUARES (PLS) PADA MODEL   PERSAMAAN STRUKTURAL  (Studi Kasus: Kepuasan Mahasiswa Unila Angkatan 2018 Terhadap   Kualitas Google Classroom)
creator: KRISDIANA, 1717031062
subject: 510 Matematika
description:     PLS method is a statistical approach to maximize the variance of the endogenous   latent variable that can be explained by the exogenous latent variable. PLS   method is an alternative method to the covariance-based SEM method. The   advantages of PLS are that it is nonparametric or doesn’t need various   assumptions and can work efficiently with small sample size and complex models.   The purpose of this research is to estimate the model with PLS method. The   results of the research show on the questionnaire data, there is one exogenous   latent variable that has no significant effect on the endogenous latent variable,   namely the quality of service interaction with an 
publisher: Fakultas Matematika Dan Ilmu Pengetahuan Alam
date: 2021
type: Skripsi
type: NonPeerReviewed
format: text
identifier: http://digilib.unila.ac.id/61446/1/ABSTRAK%20%28ABSTRACT%29%20-%20Krisdiana.pdf
format: text
identifier: http://digilib.unila.ac.id/61446/2/SKRIPSI%20FULL%20-%20Krisdiana.pdf
format: text
identifier: http://digilib.unila.ac.id/61446/3/SKRIPSI%20TANPA%20BAB%20PEMBAHASAN%20-%20Krisdiana.pdf
identifier:   KRISDIANA, 1717031062  (2021) METODE ESTIMASI PARTIAL LEAST SQUARES (PLS) PADA MODEL PERSAMAAN STRUKTURAL (Studi Kasus: Kepuasan Mahasiswa Unila Angkatan 2018 Terhadap Kualitas Google Classroom).  Fakultas Matematika Dan Ilmu Pengetahuan Alam, UNIVERSITAS LAMPUNG.     
relation: http://digilib.unila.ac.id/61446/