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The best part about Likester is the drill down effects of item affinity when you hit the Details button on a specific Like.
To mitigate the effects of item non-response we use the imputed versionc of this dataset [16].
The second study was designed to compare effects of item overlap and item repetition in aphasic patients of different diagnostic types.
We correct for this bias and develop three metrics that allow to distinguish the influence of friends from the effects of item popularity, and apply the metrics on real datasets.
For the long version, we observed main effects of "item type" (F1,9 = 33.046; p<0.001), indicating that there were more new items which were correctly rejected than old items which were correctly recognized, and of "group" (F4,36 = 12.928; p<0.001; ε = 0.762), showing that conformity affected both items types.
Indeed, we observed main effects of "item type" (F1,17 = 16.01; p<0.001), indicating that memory performance was significantly better for new items than for old items; of "group" (F4,68 = 24.95; p<0.001; ε = 0.726), showing that memory decreased significantly with group; and of "version" (F1,17 = 7.121; p<0.05), because memory performance was worse in the long than in the short version.
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These data also had a higher number of missing values owing to the combined effects of item-non-response and drop out in subsequent waves.
When developing a measure, it is key that researchers examine how the items are understood from the participants' perspective to identify potential response problems that may arise through misunderstandings, ambiguous concepts, inconsistent interpretations and context effects of items.
Power-ups come in six categories: speed (makes you faster), jump (allows you to jump higher), attack (powers up your physical attacks), special (powers up your special attacks), arms (powers up projectiles, item attacks, healing effects of items, and throws), and defense (gives you more resistance to knockback).
Unlike the first three models summarized above, this model allows the effect of item position on each item to vary across items.
This effect was hypothesized to be moderated by individual cognitive skill such that the negative effect of item difficulty on disengagement would be smaller for stronger participants.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com