The best way to randomize in Inquisit


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valengrandelski
valengrandelski
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I'm trying to create a survey with 5 different conditions as well as 2 separate IATs and I'm having difficulty with the best/easiest way to put all these pieces together and randomize to participants.

Here's how I would like the entirety of the experiment administered (counterbalanced across 5 conditions):

--Survey, part 1 (5 conditions)
--IAT #1, Sexual Risk (would like to counterbalance random assignment of order of IATs--half of participants receive #1 first, half receive #2 first)
--IAT #2, Racial Prejudice (see IAT #1 note)
--Survey, part 2 (5 conditions, must be matched to the condition received in part 1)

Another complicating factor is within each IAT, I have another 2 conditions--one where the compatible test is received first and one where the incompatible test is received first.  Is there an easier way to change this order within the IAT so it is randomly assigned?  

Here are parts of my script--it's ridiculously long, so I've included only the different surveys and the different IATs.  I can attach more if needed.  I really appreciate any help or feedback.

<survey PrEP_public_perceptions_CONDITION_1a> 
/ pages = [1=ppp1; 2=ppp2; 3=ppp3; 4=ppp4; 5=ppp5; 6=ppp7_condition_1p1; 7=ppp7_condition_1p2; 8=ppp7_condition_1p3; 9=ppp7_condition_1p4; 10=ppp7_condition_1p5; 11=ppp7_condition_1p6; 12=ppp8_condition_1p1; 13=ppp8_condition_1p2; 14=ppp8_condition_1p3; 15=ppp8_condition_1p4; 16=ppp9_p1; 17=ppp9_p2; 18=ppp10_p1; 19=ppp10_p2; 20=ppp10_p3; 21=ppp11; 22=ppp12_p1; 23=ppp12_p2; 24=ppp12_p3; 25=ppp13; 26=ppp14_p1; 27=ppp14_p3; 28=ppp14_p5; 29=ppp14_p7; 30=ppp14_p9; 31=ppp14_p11a; 32=ppp14_p13; 33=ppp14_p15; 34=ppp14_p16; 35=ppp14_p17; 36=ppp14_p18;] 
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_1b> 
/ pages = [1=ppp16_p1; 2=ppp16_p2; 3=ppp17_p1; 4=ppp17_p2; 5=ppp18_p1; 6=ppp18_p2; 7=ppp19_condition1.2.3.5;]
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_2a> 
/ pages = [1=ppp1; 2=ppp2; 3=ppp3; 4=ppp4; 5=ppp5; 6=ppp7_condition_2p1; 7=ppp7_condition_2p2; 8=ppp7_condition_2p3; 9=ppp7_condition_2p4; 10=ppp7_condition_2p5; 11=ppp7_condition_2p6; 12=ppp8_condition_2p1; 13=ppp8_condition_2p2; 14=ppp8_condition_2p3; 15=ppp8_condition_2p4; 16=ppp9_p1; 17=ppp9_p2; 18=ppp10_p1; 19=ppp10_p2; 20=ppp10_p3; 21=ppp11; 22=ppp12_p1; 23=ppp12_p2; 24=ppp12_p3; 25=ppp13; 26=ppp14_p1; 27=ppp14_p3; 28=ppp14_p5; 29=ppp14_p7; 30=ppp14_p9; 31=ppp14_p11a; 32=ppp14_p13; 33=ppp14_p15; 34=ppp14_p16; 35=ppp14_p17; 36=ppp14_p18;] 
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_2b> 
/ pages = [1=ppp16_p1; 2=ppp16_p2; 3=ppp17_p1; 4=ppp17_p2; 5=ppp18_p1; 6=ppp18_p2; 7=ppp19_condition1.2.3.5;]
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_3a> 
/ pages = [1=ppp1; 2=ppp2; 3=ppp3; 4=ppp4; 5=ppp5; 6=ppp7_condition_3p1; 7=ppp7_condition_3p2; 8=ppp7_condition_3p3; 9=ppp7_condition_3p4; 10=ppp7_condition_3p5; 11=ppp7_condition_3p6; 12=ppp8_condition_3p1; 13=ppp8_condition_3p2; 14=ppp8_condition_3p3; 15=ppp8_condition_3p4; 16=ppp9_p1; 17=ppp9_p2; 18=ppp10_p1; 19=ppp10_p2; 20=ppp10_p3; 21=ppp11; 22=ppp12_p1; 23=ppp12_p2; 24=ppp12_p3; 25=ppp13; 26=ppp14_p1; 27=ppp14_p3; 28=ppp14_p5; 29=ppp14_p7; 30=ppp14_p9; 31=ppp14_p11a; 32=ppp14_p13; 33=ppp14_p15; 34=ppp14_p16; 35=ppp14_p17; 36=ppp14_p18;] 
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_3b> 
/ pages = [1=ppp16_p1; 2=ppp16_p2; 3=ppp17_p1; 4=ppp17_p2; 5=ppp18_p1; 6=ppp18_p2; 7=ppp19_condition1.2.3.5;]
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_4a> 
/ pages = [1=ppp1; 2=ppp2; 3=ppp3; 4=ppp4; 5=ppp5; 6=ppp7_condition_4p1; 7=ppp7_condition_4p2; 8=ppp7_condition_4p3; 9=ppp7_condition_4p4; 10=ppp7_condition_4p5; 11=ppp7_condition_4p6; 12=ppp7_condition_4p7; 13=ppp8_condition_4p1; 14=ppp8_condition_4p2; 15=ppp8_condition_4p3; 16=ppp8_condition_4p4; 17=ppp9_p1; 18=ppp9_p2; 19=ppp10_p1; 20=ppp10_p2; 21=ppp10_p3; 22=ppp11; 23=ppp12_p1; 24=ppp12_p2; 25=ppp12_p3; 26=ppp13; 27=ppp14_p1; 28=ppp14_p3; 29=ppp14_p5; 30=ppp14_p7; 31=ppp14_p9; 32=ppp14_p11a; 33=ppp14_p13; 34=ppp14_p15; 35=ppp14_p16; 36=ppp14_p17; 37=ppp14_p18;] 
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_4b> 
/ pages = [1=ppp16_p1; 2=ppp16_p1a_condition4; 3=ppp16_p2; 4=ppp17_p1; 5=ppp17_p2; 6=ppp18_p1; 7=ppp18_p2; 8=ppp19_condition4;]
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_5a> 
/ pages = [1=ppp1; 2=ppp2; 3=ppp3; 4=ppp4; 5=ppp5; 6=ppp7_condition_5p1; 7=ppp7_condition_5p2; 8=ppp7_condition_5p3; 9=ppp7_condition_5p4; 10=ppp7_condition_5p5; 11=ppp7_condition_5p6; 12=ppp7_condition_5p7; 13=ppp8_condition_5p1; 14=ppp8_condition_5p2; 15=ppp8_condition_5p3; 16=ppp8_condition_5p4; 17=ppp9_p1; 18=ppp9_p2; 19=ppp10_p1; 20=ppp10_p2; 21=ppp10_p3; 22=ppp11; 23=ppp12_p1; 24=ppp12_p2; 25=ppp12_p3; 26=ppp13; 27=ppp14_p1; 28=ppp14_p3; 29=ppp14_p5; 30=ppp14_p7; 31=ppp14_p9; 32=ppp14_p11a; 33=ppp14_p13; 34=ppp14_p15; 35=ppp14_p16; 36=ppp14_p17; 37=ppp14_p18;] 
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>

<survey PrEP_public_perceptions_CONDITION_5b> 
/ pages = [1=ppp16_p1; 2=ppp16_p1a_condition5; 3=ppp16_p2; 4=ppp17_p1; 5=ppp17_p2; 6=ppp18_p1; 7=ppp18_p2; 8=ppp19_condition1.2.3.5;]
/ itemspacing = 5% 
/ showpagenumbers = false 
/ showquestionnumbers = false
</survey>


<expt Sexual_Risk_IAT1>
/ subjects = (1 of 2)
/ groupassignment = random
/ blocks = [1=attributepractice_sexrisk; 2=targetcompatiblepractice_sexrisk; 3=compatiblepractice_sexrisk; 4=compatibletestinstructions_sexrisk; 5=compatibletest_sexrisk; 6=targetincompatiblepractice_sexrisk; 7=incompatiblepractice_sexrisk; 8=incompatibletestinstructions_sexrisk; 9=incompatibletest_sexrisk]
/ postinstructions = (summary_sexrisk)
</expt>

<expt Sexual_Risk_IAT2>
/ subjects = (2 of 2)
/ groupassignment = random
/ blocks = [1=attributepractice_sexrisk; 2=targetincompatiblepractice_sexrisk; 3=incompatiblepractice_sexrisk; 4=incompatibletestinstructions_sexrisk; 5=incompatibletest_sexrisk; 6=targetcompatiblepractice_sexrisk; 7=compatiblepractice_sexrisk; 8=compatibletestinstructions_sexrisk; 9=compatibletest_sexrisk]
/ postinstructions = (summary_sexrisk)
</expt>

<expt Race_Prej_IAT1>
/ subjects = (1 of 2)
/ groupassignment = random
/ blocks = [
            1=targetcompatiblepractice_raceprej; 2=attributepractice_raceprej; 3=compatibletest1_raceprej; 4=compatibletestinstructions_raceprej;
            5=compatibletest2_raceprej; 6=targetincompatiblepractice_raceprej; 7=incompatibletest1_raceprej; 8=incompatibletestinstructions_raceprej; 
            9=incompatibletest2_raceprej; 10=summary_raceprej]
</expt>

<expt Race_Prej_IAT2>
/subjects = (2 of 2)
/ groupassignment = random
/ blocks = [
            1=targetincompatiblepractice_raceprej; 2=attributepractice_raceprej; 3=incompatibletest1_raceprej; 4=incompatibletestinstructions_raceprej;
            5=incompatibletest2_raceprej; 6=targetcompatiblepractice_raceprej; 7=compatibletest1_raceprej; 8=compatibletestinstructions_raceprej; 
            9=compatibletest2_raceprej; 10=summary_raceprej]
</expt>


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