Speed and accuracy are often mutually exclusive; participants can either respond quickly and make mistakes, or they can take more time to accumulate evidence and thus respond accurately. This trade between speed and accuracy is called the Speed-Accuracy Tradeoff (SAT). Whether such SATs result from changes in attention or motivation during the experiment, or from how different participants understand the instructions of a task; their occurrence complicates interpretation of experimental effects. This raises the question: is it possible to integrate speed and accuracy, thereby creating an easier-to-understand metric? Liesefeld and Janczyk (2019, Behavior Research Methods) examined several possible ways of integrating speed and accuracy in between-subject designs using the inverse efficiency score, linear integrated speed-accuracy score, and balanced integration score. Further, Liesefeld and Janczyk (2023, Behavior Research Methods) briefly touched upon the issue of within-subject designs. The current project extends this work by (1) systematically exploring a larger range of parameters in the simulation of within-subjects designs, and (2) introducing further combined measures into the analyses, such as reward rate, Log A index, and the signed residual time.