Hi all, I am relatively new to using SAS and was interested to see if I could gain some help on an issue I have run in to. My data is analysing the influence of sex (male/female), maturity offset (pre,circa,post), sex and maturity interaction (sex*maturity) and age (continuous) on jump performance. Jump performance (outcome variable) is analysed through peak power (continuous) and then technical competence (mastery/near mastery/poor). For peak power outcome I have run; proc mixed data=WORK.PHIL method=reml plots=(studentPanel) alpha=0.05 covtest; class ID Sex Maturity; model HJ_out_ln = Sex Age Sex*Maturity / noint cl alpha=0.05 alphap=0.05; repeated / Subject=ID; lsmeans Sex*Maturity / diff adjust=bon alpha=0.1 cl; run; I have come very unstuck on how to approach the technical competence outcome though (mastery/near mastery/poor), through reading across discussions it may appear GLIMMIX should be used, but I am struggling on how to approach coding. I am wondering if I could use the same for both outcomes, or whether I need to use alternative approaches. Any help would be greatly appreciated, Many thanks, Phil
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