@@ -15,7 +15,7 @@ All randomization is seeded with the participant id, so with the same participan
*``En Block``: All conditions with the same level of this factor will be shown en block so right after each other (**at most one factor can be ``En Block``**).
*``In Order``: The order of the factors' levels will not be randomized (Latingquare) between subjects. So all subjects see this factor's levels in the order specified for the factor.
* :warning: Careful when using ``En Block`` and ``In Order`` together: ``En Block`` is considered first and then the ``In Order`` factors are kept in there given order. Note that the order of defining the factors matters, e.g., when using multiple ``In Order`` factors (see [Randomization/Examples](Randomization/Examples#using-inorder-potentially-for-multiple-factors) for clarification).
*``Non-combined``: This means that this factor is not used to generate the different conditions, but rather as randomness in the task or repetitions. So it is not combined with the other factors but just randomized in parallel. For example, if the task is drawing different animals and other factors like brush size and drawing method should be examined, the type of animal to draw should be ``non-combined`` so that ideally each condition (combination of brush size and drawing technique) is evaluated with another animal for all participants to avoid effects of some animals being easier to draw. ``non-combined factors`` are always randomize using [Balanced Latin Squares](https://cs.uwaterloo.ca/~dmasson/tools/latin_square/), potentially repeating levels if more than given are needed for the conditions computed from the other factors. However, to have those conditions, at least one factor per phase has to not be ``non-combined``. For non-combined factors, their number should be different from the number of conditions (and they should not be multiples of each other), so the best possible shuffling of conditions to non-combined levels is achieved.
*``Non-combined``: This means that this factor is not used to generate the different conditions, but rather as randomness in the task or repetitions. So it is not combined with the other factors but just randomized in parallel. For example, if the task is drawing different animals and other factors like brush size and drawing method should be examined, the type of animal to draw should be ``non-combined`` so that ideally each condition (combination of brush size and drawing technique) is evaluated with another animal for all participants to avoid effects of some animals being easier to draw. ``non-combined factors`` are randomized using a random sequence (seeded with the participantID) to avoid confounding with other LatinSquare randomized factors, potentially repeating levels if more than given are needed for the conditions computed from the other factors. However, to have those conditions, at least one factor per phase has to not be ``non-combined``.
***Repetitions**: if conditions should be repeated multiple times, it is easiest to add an additional Factor, e.g. ``Repetition`` with Levels ``{1,2,3}`` for three repetitions, and then use ``Random`` (repetitions are done fully random), ``EnBlock`` (the second repetitions are only begun once all conditions were seen once, and so on), or ``InOrder`` (e.g., in combination with another ``EnBlock`` Factor of which all repetitions are shown right after each other). Examples of this can be found in [Randomization/Examples](Randomization/Examples#repeating-all-conditions-multiple-times). In case more involved repetition patterns are required, the ``ConditionSortingCallback()`` function should be used (see below).
