Question

Why might a researcher create a graphic that leads a user to overestimate the size of some effect? Describe with an example

Answer 1

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Introduction

Usually reasearcher create a graphic that leads or used to overestimate the size of some effects, there are several reason behind such type of hypothecatic image estimation of graphics

However, research suggests that this strategy may have the opposite effect on consumers, leading them to consume more from small packages as a estimation do not work well all the time .

sufficient consumption and not rely too heavily on package size to make. For Example,an image of a slice of cake smothered in frosting overestimated the serving size by 122 calories.

Abstract

Small-study effects refer to the fact that trials with limited sample sizes are more likely to report larger beneficial effects than large trials

The field of data visualization has become a tussle between accuracy and beauty. In one corner, designers say that data is fungible as long as the presentation is eye-catching

Outside of statistics, infographics is huge, but their purveyors and enthusiasts appear largely to be uninterested in statistical principles.We worry that designers of non-statistical data graphics are not so focused on conveying information and that the very beauty of many professionally-produced images may, paradoxically, stand in the way of better understanding of data in many situations.

Like other forms of graphic design, experimenting with fonts, shapes, and grids is a way of avoiding visual fatigue.

Not all untraditional charts are ineffective. One such example in the AIGA Design Census is a chart showing the distribution of time at respondents’ current job for different types of employment. Data viz researchers might scoff at the chart’s missing y-axis and would prescribe bars over curved shapes. Still, it is beautiful and clearly shows that self-employed workers tend to stay in their position longer than those who work for a company.

Example

An interactive visualization of Barack Obama’s 2013 budget proposal in the New York Times, for instance, is informative and playful. There are aspects of this visualization that don’t follow the rules, particularly the use of circles rather than distance to convey differences in spending amounts.

These examples demonstrate the fundamental conflict in data visualization: Finding a balance between ingenuity and comprehension; visual acrobatics and accuracy.

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