Hello, this is the first SAS-question I ever posted and I am completely new to SAS (version 9.4). I only need to program one thing with SAS, but I encountered a problem, I cant find the answer for. I need to find an optimal Design for an intelligence test using the optex procedure. Here is the code I have so far: proc plan ordered; factors x1=2 x2=2 x3=2 x4=2 x5=2 x6=2 / noprint; output out=Candidate x1 nvals=(0 to 1) x2 nvals=(0 to 1) x3 nvals=(0 to 1) x4 nvals=(0 to 1) x5 nvals=(0 to 1) x6 nvals=(0 to 1); *give each level a valuename. Since it is nominal I choose the classic 0 and 1; data Candidate; set Candidate; if (^((x1 = 1) & (x2 = 1) & (x3 = 1) & (x4 = 1) & (x5 = 1))); if (^((x6 = 1) & (x2 = 1) & (x3 = 1) & (x4 = 1) & (x5 = 1))); if (^((x1 = 1) & (x6 = 1) & (x3 = 1) & (x4 = 1) & (x5 = 1))); if (^((x1 = 1) & (x2 = 1) & (x6 = 1) & (x4 = 1) & (x5 = 1))); if (^((x1 = 1) & (x2 = 1) & (x3 = 1) & (x6 = 1) & (x5 = 1))); if (^((x1 = 1) & (x2 = 1) & (x3 = 1) & (x4 = 1) & (x6 = 1))); if (^((x1 = 1) & (x2 = 1) & (x3 = 1) & (x4 = 1) & (x5 = 1) & (x6 = 1))); if (^((x1 = 1) & (x2 = 0) & (x3 = 0) & (x4 = 0) & (x5 = 0) & (x6 = 0))); if (^((x1 = 0) & (x2 = 1) & (x3 = 0) & (x4 = 0) & (x5 = 0) & (x6 = 0))); if (^((x1 = 0) & (x2 = 0) & (x3 = 1) & (x4 = 0) & (x5 = 0) & (x6 = 0))); if (^((x1 = 0) & (x2 = 0) & (x3 = 0) & (x4 = 1) & (x5 = 0) & (x6 = 0))); if (^((x1 = 0) & (x2 = 0) & (x3 = 0) & (x4 = 0) & (x5 = 1) & (x6 = 0))); if (^((x1 = 0) & (x2 = 0) & (x3 = 0) & (x4 = 0) & (x5 = 0) & (x6 = 1))); if (^((x1 = 0) & (x2 = 0) & (x3 = 0) & (x4 = 0) & (x5 = 0) & (x6 = 0))); run; proc print data=Candidate(obs=16); run; proc optex data=Candidate seed=123456 coding = orth; class x1 x2 x3 x4 x5 x6; model x1 x2 x3 x4 x5 x6 x1*x2 x1*x3 x1*x4 x1*x5 x1*x6 x2*x3 x2*x4 x2*x5 x2*x6 x3*x4 x3*x5 x3*x6 x4*x5 x4*x6 x5*x6; blocks structure = (20)12; output out=IQ; proc print data= IQ; run; As you can see, there are six different nominal factors defined (x1-x6). Each factor represents a rule of thinking that is either required in a test item (factor value = 1) or not (factor value = 0). Each item can hence be seen as a specific experimental condition, which is defined by a certain combination of factor levels, that is a specific combination of applied rules of thinking. I excluded all conditions from the design in which zero, only one, or more than four rules are active. Here is my problem: For practical reasons, we cannot have the testees work on too many four-rule-items because they are too difficult and time consuming. The idea is, that we have 20 people work on 12 items each (I programed that using the blocks structure statement). I would like to implement the constraint that only 2 out of the 12 items for each person are 4 rule-items. The rest beeing five 2-rule items and five 3 rule-items. Then I would like to recieve the optimal design for that. Is that somehow possible? Thank you in advance.
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