Structure Of Latent Factors In The Learning Of Statistics

Abstract

Today, almost all curricula in the social sciences contain at least one course in statistics, given its importance as an analytical tool. This work identifies the latent factors relating to students’ motivation and attitudes toward statistics and tests their covariance structure. Specifically using a structural equations model, the work confirms that the evaluative factors affect the affective factors and the interest variable affects the level of anxiety. The findings obtained using the partial least squares method allow the authors to confirm the proposed relations and validate the model.