My study involves five plant varieties subjected to three cultivation methods in two different sites. Every week for six weeks, we record the specific daily growth rate of all the plants. I’d like to analyze differences in growth rates in terms of variety, cultivation method, sites, and time (six measuring times). I’d also like to look into interactions among these four factors. I initially thought of doing factorial ANOVA until I came across repeated measures ANOVA. I’m now confused about what statistical method to use since my growth rate data are longitudinal data or repeated measures data given that the same plants are measured every week. furthermore, after testing assumptions for anova, i found that my data violates normality and homoscedasticity. What is the appropriate analysis for this?
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