The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…

The purpose of this paper is to reexamine the effect of internal school factors such as school violence and class size, and external school factors such as family socio-economic resources on student math achievements, based on the social ecological model, eliciting an integrative approach. Data were collected from an Israeli national database,…

This study explored the relationship between the reading ability and science achievement of students in grades 5, 8, and 9. Reading ability was assessed with four measures: word recognition, vocabulary, syntactic knowledge, and comprehension (23% of all passages were on science topics). Science achievement was assessed with state…

Large-scale studies, such as the Trends in International Mathematics and Science Study (TIMSS), provide data to understand cross-national differences and similarities. In this study, we aimed to identify factors predicting mathematics achievement of Turkish students by comparing to Australian students. First, construct equivalence and item bias…

The aim of this study is to demonstrate the science success regression levels of chosen emotional features of 8th grade students using Structural Equation Model. The study was conducted by the analysis of students' questionnaires and science success in TIMSS 2011 data using SEM. Initially, the factors that are thought to have an effect on science…

The role of adolescents' disclosure to their parents in their academic adjustment was examined in a study of 825 American and Chinese adolescents (mean age = 12.73 years). Four times over the seventh and eighth grades, adolescents reported on their spontaneous disclosure of everyday activities to their parents, the quality of their relationships…

There has been considerable interest in nonlinear latent variable models specifying interaction between latent variables. Although it seems to be only slightly more complex than linear regression without the interaction, the model that includes a product of latent variables cannot be estimated by maximum likelihood assuming normality.…