Designing, Running, and Analyzing Experiments

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课程简介

University of California, San Diego

课程大纲

In this module, you will learn basic concepts relevant to the design and analysis of experiments, including mean comparisons, variance, statistical significance, practical significance, sampling, inclusion and exclusion criteria, and informed consent. You’ll also learn to think of an experiment in terms of its participants, apparatus, procedure, and design & analysis. This module covers lecture videos 1-2.

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课程详情

You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis. You will analyze multiple data sets using recipes given to you in the R statistical programming language -- no prior programming experience is assumed or required, but you will be required to read, understand, and modify code snippets provided to you. By the end of the course, you will be able to knowledgeably design, run, and analyze your own experiments that give statistical weight to your designs.

设计,运行和分析实验:在与用户一起测试之前,您可能永远无法确定自己是否具有有效的用户体验。在本课程中,您将学习如何设计以用户为中心的实验,如何进行此类实验以及如何分析这些实验中的数据以评估和验证用户体验。您将通过UX,IxD和HCI领域中的实验示例进行实际工作,了解实验设计和分析中的问题。您将使用R统计编程语言提供给您的配方来分析多个数据集-不需要或不需要任何编程经验,但是您将需要阅读,理解和修改提供给您的代码段。在课程结束时,您将能够熟练地设计,运行和分析自己的实验,从而对设计进行统计加权。

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