1. Most quantitative values needed by software are bounded, yet many programs allow unbounded entry with numeric fields.
软件所需的大多数值都是有界的,但许多程序允许数字字段无界输入。

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2. Qualitative versus Quantitative Research
定性研究与定量研究

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3. In some cases, particularly in competitive product comparisons, summative studies are designed to yield quantitative data that can be tested for statistical significance.
有些情况下,尤其是竞争产品比较中,在总结式研究中可以产生量化的数据,进而用于统计显著性检测。

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4. At the end of the chapter, we briefly discuss how quantitative research can, and cannot, be used to help support this effort.
在本章的最后,我们会简单地讨论定性研究如何能,以及不能支持这样的目标。

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5. Because the findings of user testing are generally measurable and quantitative, usability research is especially useful in comparing specific design variants to choose the most effective solution.
因为用户测试结果基本上是可测量和定量的,如果可用性研究用来比较具体设计变量,并从中选择最有效的方案,就会非常有用。

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6. Qualitative research helps us understand the domain, context, and constraints of a product in different, more useful ways than quantitative research does.
与定量研究相比,定性研究以另一种更有用的方式帮助我们理解产品的问题域、情境和约束条件。

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7. Unlike size or value, though, hue is not intrinsically ordered or quantitative, so it’s less ideal for conveying that sort of data.
和尺寸或者值不同,颜色本质上不是顺序的,也不是定量的,因此并不太适合表达这种类型的数据。

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8. Quantitative research is helpful in determining this: Among people similar to your personas, how many really have 800x600 screens these days?
要决定这一点,可以采用量化研究。 比如考虑与你设定的人物角色及那些相类似的人群中,现在还有多少人在使用800×600的显示器?

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9. Common examples of information design challenges include charts, graphs, and other displays of quantitative information.
信息设计中常见的内容包括图表、图形,以及其他表示量化信息的形式。

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10. Social scientists have long realized that human behaviors are too complex and subject to too many variables to rely solely on quantitative data to understand them.
长久以来,社会科学家已经意识到人类的行为太复杂,受制于太多的变量,无法仅仅靠定量数据来理解。

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