With the estimated number of people diagnosed with Major Depressive Disorder (MDD) reaching 264 million by 2017 (ADAA, 2020), it is essential for clinicians to accurately diagnose MDD. The most commonly used scale in MDD diagnostics is Beck Depression Inventory Second Edition (BDI-II), which adheres to the definition from Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5). However, some specific questions in BDI-II are controversial in accurately characterizing MDD. To assess the questionnaire, statistical analysis on BDI-II was conducted using the data set collected from the Dominican Republic by Garcia-Batista et al. (2018), using classical test theory, factor analysis, and item response theory. Of 21 questions, seven were identified as detrimental to the statistical properties of the scale, and were removed to create a final scale. This scale increased reliability of the parts by 0.043, average factor loading by 0.05, and unidimensionality by 0.036, indicating inefficiency in the prior questions. This result is consistent with the study by Zimmerman et al. (2006), which provides critical evidence to support the need for an accurate diagnosis of MDD.