Perbandingan Antara Unweighted Least Squares (ULS) dan Partial Least Squares (PLS) dalam Pemodelan Persamaan Struktural

MUHAMMAD AMIN PARIS. Comparison Between Unweighted Least Squares (ULS) and Partial Least Squares (PLS) in Sructural Equation Modeling. Supervised by BUDI SUHARJO and N. K. KUTHA ARDANA. Structural Equation Modeling (SEM) is one of multivariate techniques that can estimate series of interrelated dependence relationships from a number of endogenous and exogenous variables, as well as latent (unobserved) variables simultaneously. Estimation of parameter methods in SEM are Maximum Likelihood (ML), Weighted Least Squares (WLS), Unweighted Least Squares (ULS), Generalized Least Squares (GLS) and Partial Least Squares (PLS). This research aims to compare ULS and PLS method in estimating parameter model of students’ achievement in first year undergraduate Mathematics, Bogor Agricultural University (Institut Pertanian Bogor, IPB). This research use primary and secondary data. The result of this research indicates that ULS method is more accurate than PLS method. The analysis with ULS method shows that motivation, capability and environment give significant effects to students’ achievement.