Lab-In-The Field Block distribution
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Dear All,
As part of a lab-in-the-field study in East Africa, we plan to conduct a choice experiment. We will move from one village to another. We plan to visit 32 villages: 16 in Kenya and 16 in Uganda. Furthermore, we will have up to 24 participants per village.
My idea was to have a d-efficient design with 48 blocks of 8 choice sets. In the villages, we will then distribute either the first 24 blocks or the second 24 blocks. I just realized that we might have a problem if we do not reach 24 participants per village. Some blocks might be underrepresented in the overall sample due to our mechanism of distributing the blocks according to participant ID (which is randomly distributed between 1 and the max. number of participants per village).
Is it a problem to have some blocks less often represented than others?
Is it better to have a random allocation of the blocks? Or even fewer blocks?
However, here we might get the problem that there might be some participants within one village that actually play the same choice sets; some choice sets might be less likely to be played, and we have no control over this distribution of blocks.
It is a labeled choice experiment with 4 attributes with 2 to 5 attribute levels each.
Kind Regards
Philipp Händel
As part of a lab-in-the-field study in East Africa, we plan to conduct a choice experiment. We will move from one village to another. We plan to visit 32 villages: 16 in Kenya and 16 in Uganda. Furthermore, we will have up to 24 participants per village.
My idea was to have a d-efficient design with 48 blocks of 8 choice sets. In the villages, we will then distribute either the first 24 blocks or the second 24 blocks. I just realized that we might have a problem if we do not reach 24 participants per village. Some blocks might be underrepresented in the overall sample due to our mechanism of distributing the blocks according to participant ID (which is randomly distributed between 1 and the max. number of participants per village).
Is it a problem to have some blocks less often represented than others?
Is it better to have a random allocation of the blocks? Or even fewer blocks?
However, here we might get the problem that there might be some participants within one village that actually play the same choice sets; some choice sets might be less likely to be played, and we have no control over this distribution of blocks.
It is a labeled choice experiment with 4 attributes with 2 to 5 attribute levels each.
Kind Regards
Philipp Händel