You could easily google it, several tutorials and articles on Repeated Measure - Mixed models, c(Generalized, ANOVA, etc) using IBM SPSS. Howbeit, would love to recommend SPSS Prof Davidian course notes:
http://www4.stat.ncsu.edu/~davidian/courses.html
Video tutorial (https://www.google.com/url?sa=t&source=web&rct=j&url=https://m.youtube.com/watch%3Fv%3DdIv5imb4yqI&ved=2ahUKEwiek4nUl_vwAhUB8eAKHSvmB6YQFjAEegQIHRAF&usg=AOvVaw35oQsmJw45GsyUHxOsG7py)
statistics.laerd.com › spss-tutorials
Mixed ANOVA using SPSS Statistics - Laerd Statistics(https://www.google.com/url?sa=t&source=web&rct=j&url=https://statistics.laerd.com/spss-tutorials/mixed-anova-using-spss-statistics.php&ved=2ahUKEwiEgrDalvvwAhWr3eAKHRaqCu4QFjARegQIIxAC&usg=AOvVaw3nI6lVFVFwvt8xlWRWbq-v)
@Rachel , there is an option of repeated measure ANOVA(1, 2, 3ways) and you can choose repeated measure multilevel model for a longitudinal data. According to Analysis Factor.com, "Multilevel modeling offers a unique framework for analyzing longitudinal data because:
- It tolerates missing waves of data
- It tolerates differently spaced waves of data from different subjects
- It accounts for correlations of observations across time
- It allows you to study changes over time, such as changes in elevation and slope.
- You are not limited just to linear changes, but can explore a variety of functional forms of change over time" https://www.theanalysisfactor.com/repeated-and-random-2/