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).
To mitigate the effects of item non-response we use the imputed versionc of this dataset [16].
The best part about Likester is the drill down effects of item affinity when you hit the Details button on a specific Like.
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.
The effects of item overlap were analyzed by repeating regression analyses while excluding those HRQOL items that contextually overlapped the most frequently-occurring mental health problem (attention deficits).
To analyze the effects of item overlap, we selected the largest subgroups of CSHCN with mental health problems: children with attention deficits (n = 204).
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.
