The number of people living with depression is increasing globally. Despite the increasing number, most individuals still do not receive effective treatment. One of the barriers for effective treatment is inaccuracy of depression assessment that leads to misdiagnose. This study aims to investigate the accuracy of scores derived from the Center for Epidemiologic Studies Depression Scale Revised (CESD-R). The CESD-R consists of 20 items. This study used synthesis methodology to evaluate the CESD-R psychometric characteristics. This psychometric synthesis study reviewed 22 scholarly works using the English version CESD-R from 2004 to 2018 that met all selection criteria. Results indicated that the CESD-R scores had high reliability. The overall aggregated internal consistency (coefficient alpha) was .91 (N = 13,150). Internal consistency for both clinical and non-clinical settings was (α = .91, N = 3,438) and (α = .92, N = 9,712), respectively. Convergent comparisons were robust across six different instruments with correlations ranging from .01 to |.74|. The findings of the study suggested the CESD-R is highly related to depression symptoms.