Sentence examples for items and shape from inspiring English sources

Exact(1)

To see if performance on the TMA (using the 22 items included in the majority coding) across the four groups varied by instruction and by item-type (elevation items and shape items), a mixed methods ANOVA was conducted with item-type as the within-subjects factor and instruction group as the between-subjects factor.

Similar(59)

In Experiment 2, we separated these two concepts to determine whether the concepts conveyed in the speech accompanying pointing and tracing gestures (the most effective gestures in Experiment 1) would differentially facilitate participants' performance on the two specific kinds of topographic map items (elevation and shape items).

To evaluate the psychometric sensitivity of the items, summary and shape measures were estimated.

The other 12 items cover three possible presentations of ARFID (food avoidance emotional disorder, selective eating, and functional dysphagia) and include two items on weight and shape concern as important exclusion criteria of ARFID [ 7].

On half of trials the probe would match the color feature of one item and the shape feature of the other item in the array, meaning that the tasks would be incongruent to one another.

In this analysis (again using majority coding), group (Pointing and Tracing and 3D Gestures and Models) was the between-subjects factor and item-type (elevation and shape) was the within-subjects factor.

Table 1 Key mathematical concepts Quantity Change and relations Space and shape Uncertainty 18 items 14 items 6 items 1 item.

If this prediction is correct, participants in both language conditions should show improvements across both elevation and shape items.

Apparently, instruction focusing attention using pointing and tracing gestures to highlight contour lines improved participants' performance on the TMA overall, on both elevation and shape items.

Soft Robotics has developed soft robotic grippers that can manipulate items of varying size and shape without the help of computer vision or sensors.

The one-way ANOVA found statistically significant differences in the mean number of teleological explanations (for all items, both for color and shape) between the three groups, F 2, 180) = 3.175, p < 0.044.

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