Probit Regression Analysis to Predict the Effect of Problem-Based Learning Model and Teams Games Tournament Cooperative Learning Model toward Students’ Learning Outcomes

• Main Authors: Ulfah Ardianti, Leni Marlena
• Format: Article
• Language: Indonesian
• Published: Universitas Islam Negeri Raden Intan Lampung 2020-09-01
• Series: Desimal
• Subjects: learning outcomes; problem based learning; teams games tournament.
• Online Access: http://ejournal.radenintan.ac.id/index.php/desimal/article/view/6749

The study aimed to predict the chances of success from the use of the Problem-based Learning (PBL) model compared to the Teams Games Tournament (TGT) toward students’ learning outcomes. The research was conducted to the eleventh-grade students of Senior High School 106 Jakarta on the limit of algebraic function material. The data were collected through a posttest of 5 description questions. After the data had been collected, it was analyzed using probit regression which can provide more information than using just the means of two populations. The independent variable was the class and the dependent variable was the learning outcome. The class independent variable was a dummy variable with the value of "1" which applied the PBL model and the value of "0" was the class that applied the TGT cooperative learning model. The resulting probit regression model was the alleged Probit (mathematics learning outcomes) = 1,114 - 0,483 (class). Based on the probit regression model at the 5% significance level, it can be concluded that the alleged students who were taught using the TGT cooperative learning model had a 13% greater chance of success/correct in working out the questions compared to students who were taught using the PBL. The results showed that the TGT cooperative learning model can improve students’ learning outcomes better.