The Mixed Model (MM) design, sometimes known as a Split-Plot design, is very popular in educational research. This model can be used to examine the effects of several independent variables on a dependent variable and it offers a more powerful alternative to the completely randomized design. The MM design considers both a between-subjects factor, which involves levels of independent groups while the within-subjects factor considers a repeated measures factor with 2 or more levels. The analyses (and subsequent interpretation) of the MM design can be quite perplexing, considering the increasing statistical assumptions associated with a more complex design as well as the possibility of analyzing and interpreting interaction effects. As a teacher of ANOVA designs, my graduate students are often unsure of the 'next step'. The purpose of this paper is to discuss the univariate approach to analyzing a two-factor MM model design (n=1 observation per cell), report and interpret the data within the context of an example using SPSS, and provide a flowchart for students to utilize as a helpful guide. References for alternative methods for analyzing the MM design are also provided.