This paper looks at a data analysis method for analyzing longitudinal network data called MRQAP. We describe a dataset from a study on the development of peer networks of one cohort of pre-service mathematics trainees in the south of England and apply the MRQAP method to its four timepoints. We include attributes for gender, study programme, trust and self-efficacy. The analysis shows that MRQAP is a viable data analysis method for looking at the longitudinal development of networks. We conclude with a short discussion of further methodological challenges and limitations.