Statistics 简明教程
Statistics - Qualitative Data Vs Quantitative Data
Qualitative Data
定性数据是一组无法用数字衡量的信息。它通常由单词、主观叙述组成。定性数据分析的结果可以是突出关键词、提取信息和概念阐述的形式。例如，一项关于父母对孩子当前教育体系的看法研究。从中收集到的结果信息可能以叙述形式出现，你需要推导出他们满意、不满意或需要在某些领域进行改进等的分析。
Qualitative data is a set of information which can not be measured using numbers. It generally consist of words, subjective narratives. Result of an qualitative data analysis can come in form of highlighting key words, extracting information and concepts elaboration. For example, a study on parents perception about the current education system for their kids. The resulted information collected from them might be in narrative form and you need to deduce the analysis that they are satisfied, un-satisfied or need improvement in certain areas and so on.
Strengh
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Better understanding - Qualitative data gives a better understanding of the perspectives and needs of participants.
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Provides Explaination - Qualitative data along with quantitative data can explain the result of the survey and can measure the correction of the quantitative data.
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Better Identification of behavior patterns - Qualitative data can provide detailed information which can prove itself useful in identification of behaviorial patterns.
Weakness
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Lesser reachability - Being subjective in nature, small population is generally covered to represent the large population.
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Time Consuming - Qualitative data is time consuming as large data is to be understood.
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Possiblity of Bias - Being subjective analysis; evaluator bias is quite feasible.
Quantitative Data
定量数据是从一群人中收集的一组数字，并涉及统计分析。例如，如果您对参与者进行满意度调查并要求他们在 1 到 5 的范围内对他们的体验进行评分。您可以收集评分，并且由于具有数字性质，您将使用统计技术来得出关于参与者满意度的结论。
Quantitative data is a set of numbers collected from a group of people and involves statistical analysis.For example if you conduct a satisfaction survey from participants and ask them to rate their experience on a scale of 1 to 5. You can collect the ratings and being numerical in nature, you will use statistical techniques to draw conclusions about participants satisfaction.
Strengh
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Specific Quantitative data is clear and specific to the survey conducted.
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*High Reliability*If collected properly, quantitative data is normally accurate and hence highly reliable.
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*Easy communication*Quantitative data is easy to communicate and elaborate using charts, graphs etc.
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*Existing support*Many large datasets may be already present that can be analyzed to check the relevance of the survey.