Open AccessModeling Academic Performance of The Students by using Partial Least Square
Author(s) -
Marji Marji,
Samingun Handoyo,
Endang Wahyu Handamari,
Ni Wayan Surya Wardhani
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6835.018520
Subject(s) - socioeconomic status , latent variable , structural equation modeling , psychology , academic achievement , latent variable model , variables , statistics , mathematics , mathematics education , developmental psychology , demography , sociology , population
This study aims to model the relationship between predictor variables consisting of learning motivation (LM), parents' socioeconomic status (SS), and school environment (SE) which are all latent variables to academic achievement (AC) which are not latent variables. Modeling is done by the method of partial least square (PLS) which is expected to explore the various effects found in the inner model and also confirm the questionnaire items forming the latent variables. With a real level of 5%, almost all loading values on each latent variable are significant. Likewise, a simple linear relationship consisting of 5 models has a coefficient that has a significant effect. The influence of learning motivation (LM), parents' socioeconomic status (SS), school environment (SE) on academic achievement are 0.270, 0.249, and 0.320, respectively. while learning motivation (LM), socioeconomic status of parents (SS) contributing to academic achievement (AC) were 17.7% and 3.13%, respectively..