Objectives: This study examines the factor structure and scale quality of data collected with the online Elementary School Success Profile (ESSP) for Teachers from a sample of teachers of 1,145 third through fifth graders. Methods: Confirmatory factor analysis (CFA) using Mplus and weighted least squares means and variances adjusted (WLSMV) estimation took into account the ordinal and clustered nature of the data. Models were tested on four random subsamples. Results using maximum likelihood (ML) estimation are presented for comparison. Results: A five-factor, first-order model demonstrated superior fit. Scores from the five scales demonstrated acceptable reliability. Conclusions: Results suggest the ESSP for Teachers provides school practitioners with quality data to guide intervention choices in schools. Implications for future research are discussed.
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