Authors Yu et al., (2022) explained that, "The most widely used methods such as t test and ANOVA do not take data dependence into account and thus are often misused" (p.1). Yu et al. recommended that using "mixed-effects models" can enhance the methodology of experiments and result in more valid and reproducible data analysis" (p.1). Therefore, utilizing Analysis of Covariance, or ANCOVA, can enhance the accuracy of a T-test. Thus, employing Analysis of Covariance, or ANCOVA, can improve the precision of a T-test. It is used to take into account for the variability caused by multiple factors that may affect the dependent variable