Hello community:
I am seeking assistance with a repeated measures ANOVA. In this experiment, I examined the return rate of bees to colonies (= dependent variable). These colonies were subjected to one of four food treatments (= categorical predictor variable). The return rate of bees was evaluated once per week over a 13 week period. Thus, in this analysis "colony" is the subject (nested within treatment) and "week" accounts for the repeated measure.
I am testing the effect of food treatment, but at the same time, I would like to assess the effect of colony size and the local abundance of flowers on the return rate. Both are time-varying covariates; however, flower abundance is a weekly measurement that *does not vary across subjects/colonies.*
Is it possible to analyze the effect of flower abundance given that each week corresponds to a given value of floral abundance? I've tried coding it as a normal covariate, and SAS returns no result for this variable. Time is significant in the model, but having graphed out the data, I am confident that this is due to changes in floral resources and not time itself.
Any suggestions for how to move forward would be greatly appreciated!
I am seeking assistance with a repeated measures ANOVA. In this experiment, I examined the return rate of bees to colonies (= dependent variable). These colonies were subjected to one of four food treatments (= categorical predictor variable). The return rate of bees was evaluated once per week over a 13 week period. Thus, in this analysis "colony" is the subject (nested within treatment) and "week" accounts for the repeated measure.
I am testing the effect of food treatment, but at the same time, I would like to assess the effect of colony size and the local abundance of flowers on the return rate. Both are time-varying covariates; however, flower abundance is a weekly measurement that *does not vary across subjects/colonies.*
Is it possible to analyze the effect of flower abundance given that each week corresponds to a given value of floral abundance? I've tried coding it as a normal covariate, and SAS returns no result for this variable. Time is significant in the model, but having graphed out the data, I am confident that this is due to changes in floral resources and not time itself.
Any suggestions for how to move forward would be greatly appreciated!
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