Sentence examples for effects of items and from inspiring English sources

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).

In a situation such as this, with a complex interaction, the typical next step would be to split the data by area and analyse each for effects of item number and unpredictability, or split by items and analyse for effects of area and unpredictability.

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.

Subsequent models address whether main or interaction effects of item number and display area can be modelled as, simpler, linear terms or not.

Differential Item Functioning (DIF) [ 38] can be applied to examine the effect of language bias of items and tests administered in different languages.

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.

The presence of high values of the floor or ceiling effects could indicate poor discrimination of items and thus reduced sensitivity of the questionnaire [ 29].

This simulation study investigated the power for various values of sample size, number of items and effect size in the context of a comparison of two groups answering a questionnaire composed of dichotomous items.

Again we see that under the usual IRT model, the attenuation effect depends on the number of items and again we see that due to the skewness of the sum score distribution, the attenuation is not proportional to the true correlation.

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.