Nowadays, more and more people are paying attention to processing data in different fields. Following the ease of computer implementation within the classroom and test environment, Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) is a new advanced form of assessment. It combines the advantages of the Cognitive Diagnostic Model (CDM) and CAT, which could better assess students’ learning acquirement. More and more universities are applying this technique to the university course assessment (Morphew et al, Phys Rev Phys Educ Res 14(2):020110, 2018). To improve the applicability, accompany modern processing data use wise, many researchers have started implementing Response Time (RT) into CD-CAT. Two methods implementing Response Time (RT) with fulfilling attribute-balancing constraints is proposed: Time Weighted Modified Maximum Global Discrimination Index and Time Weighted Modified Posteriori Weighted Kullback-Leibler Information. These methods are compared in simulation with time-weighted non-attribute balancing methods. The result shows the proposed methods provide researchers with precise measurement accuracy as well as improvement in test efficiency.