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Identifying the Underlying Dimensions of the JCCES Mathematical Problems using Alternating Least Squares Scaling
Statistical Methods and Data Analysis

Identifying the Underlying Dimensions of the JCCES Mathematical Problems using Alternating Least Squares Scaling

Abstract This study aimed to investigate the underlying dimensions of the Jouve Cerebrals Crystallized Educational Scale (JCCES) Mathematical Problems (MP) using Alternating Least Squares Scaling (ALSCAL). The dataset consisted of intercorrelations between 38 MP items, with 588 participants. Various dimensional solutions were assessed for the goodness of fit. A 4-dimensional …