In a paper on reintroduced cranes, I have data like this: ID, Sex, Year, Dispersal* (e.g., 1-01, M, 2002, 1)
I want to show that females disperse more than males.
I used chi-square. Reviewer indicated this violated assumption of independence because of multiple years of data for same birds and that I should use GLIMMIX.
What are lines of code needed to set up model?
SAS version 9.x (latest)
*Dispersal: 1 = in reintroduction area; 0 = out (dispersed).
id = identification code for each bird.
out = dispersal value (=1 if out of reintro. area); each bird has data in 1 or more years (observations).
title 'difference in dispersal by sex including all birds';
class sex id;
model out = sex / link=logit dist=binomial;
random int / subject=id;
Produces these results: Type III Tests of Fixe Effects:
Effect = Sex, Num DF = 1, Den DF = 568, F Value = 5.26, Pr > F = 0.0221
Does this look correct? Thank you.
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