An application on statistical self-efficacy belief, attitude and literacy levels of university students with structural equality modeling

Structural Equation Modeling (SEM) is a multivariate statistical technique in which the theoretical model is tried to be tested considering the covariance structure matrix. SEM consist of two parts, the measurement model and the structural model, and are used to test the hypothesis of direct and indirect causal effect between latent (unobservable) variables. This study aims to determine the factors affecting the statistical self-efficacy belief, attitude towards statistics and statistical literacy of university students, to determine the relationships between these factors. For this purpose, an suitable path model was created by revealing the relationships between observed and unobserved variables. The obtained data were analyzed with SPSS and AMOS package programs and the findings were evaluated. As a result; it was concluded that there is a significant and positive relationship between the belief in statistical self-efficacy and the attitude towards statistics. The statistical literacy level of the students was evaluated in terms of gender, class and educational status variables.