New: create a new trial block.
Copy: copy another trial block from the current study.
You can add constructs to the trial block by clicking on New item or by dragging a compatible construct from somewhere in the study tree into the trial block. When creating a new construct, you can choose to start with a blank slate or to copy an existing construct from the study.
Constructs can be removed from the trial-block by dragging them to somewhere else in the study tree, or by selecting the construct using the checkbox and clicking Delete in the toolbar above the trial-block table. You can also select and delete multiple constructs at once.
WARNING: All sub-constructs of the selected constructs will also be removed. If you wish keep any sub-constructs, you can drag them to another part of the study tree. Alternatively, you can drag any construct to the Spare parts bin to remove it (and its sub-constructs) from the study without permanently deleting it.
You can navigate to any of the constructs in the table by clicking on its row or by clicking on the construct in the study tree.
The order of constructs can be changed by dragging and dropping within the table in the view panel, or by dragging and dropping within the study tree.
One or more participant groups can be assigned to a trial block by selecting them from the
Participant groups list and clicking Save. Setting the number of groups in the study can be done at the root of the study tree (Figure 1).
Block counterbalancing can be set from the study sequence screen (Figure 1).
To counterbalance trial blocks, we first need to create a block group by clicking Add block group in the
Counterbalance trial blocks table (Figure 2).
Click Add block to add individual trial blocks to the group.
Select a counterbalancing strategy from the
Strategy list and set the number of cycles (if applicable) using
Cycles. The following counterbalancing strategies are available:
Random order: Randomize the order of execution of blocks in the block group. Only available when block group contains at least two blocks.
Block randomization: Block randomization is a subject-by-subject counterbalancing method to control non-linear progressive error in within-subjects designs. For example, given blocks ABC and cycles set to 4, block randomization might produce BCA-CBA-ACB-BAC. Only available on contiguous blocks when block group contains at least two blocks. Blocks in this group must be contiguous in the study tree.
Reverse counterbalance: Reverse counterbalance is a subject-by-subject counterbalancing method to control linear progressive error in within-subjects designs. For example, given blocks ABC, reverse counterbalance will produce ABCCBA. Only available on contiguous blocks when block group contains at least two blocks. Blocks in this group must be contiguous in the study tree.