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.
本課程是 Interaction Design 專項課程 專項課程的一部分
Designing, Running, and Analyzing Experiments
提供方
教學大綱 - 您將從這門課程中學到什麼
週
1Basic Experiment Design Concepts
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.
2 個視頻（共 19 分鐘）, 1 個閱讀材料, 1 個測驗
1 個閱讀材料
All Course Materials10分鐘
1 個練習
Understanding the Basics16分鐘
週
2Tests of Proportions
In this module, you will learn how to analyze user preferences (or other tallies) using tests of proportions. You will also get up and running with R and RStudio. Topics covered include independent and dependent variables, variable types, exploratory data analysis, p-values, asymptotic tests, exact tests, one-sample tests, two-sample tests, Chi-Square test, G-test, Fisher’s exact test, binomial test, multinomial test, post hoc tests, and pairwise comparisons. This module covers lecture videos 3-9.
7 個視頻（共 41 分鐘）, 2 個測驗
7 個視頻
04. Getting Started with R and RStudio2分鐘
05. Exploring Data and a First Test of Proportions7分鐘
06. Understanding and Reporting Your First Statistical Test5分鐘
07. Exact Tests, Asymptotic Tests, and the Binomial Test2分鐘
08. More One-Sample Tests of Proportions9分鐘
09. Two-Sample Tests of Proportions11分鐘
2 個練習
Understanding Tests of Proportions36分鐘
Doing Tests of Proportions30分鐘
週
3The T-Test
In this module, you will learn how to design and analyze a simple website A/B test. Topics include measurement error, independent variables as factors, factor levels, between-subjects factors, within-subjects factors, dependent variables as responses, response types, balanced designs, and how to report a t-test. You will perform your first analysis of variance in the form of an independent-samples t-test. This module covers lecture videos 10-11.
2 個視頻（共 25 分鐘）, 2 個測驗
2 個視頻
11. Analyzing a Simple A/B Test with a T-Test10分鐘
2 個練習
Understanding Experiment Designs20分鐘
Doing Independent-Samples T-Tests30分鐘
週
4Validity in Design and Analysis
In this module, you will learn about how to ensure that your data is valid through the design of experiments, and that your analyses are valid by understanding and testing for their assumptions. Topics include how to achieve experimental control, confounds, ecological validity, the three assumptions of ANOVA, data distributions, residuals, normality, homoscedasticity, parametric versus nonparametric tests, the Shapiro-Wilk test, the Kolmogorov-Smirnov test, Levene’s test, the Brown-Forsythe test, and the Mann-Whitney U test. This module covers lecture videos 12-15.
4 個視頻（共 41 分鐘）, 2 個測驗
4 個視頻
13. Data Assumptions and Distributions14分鐘
14. Testing for ANOVA Assumptions9分鐘
15. Mann-Whitney, a Nonparametric T-Test2分鐘
2 個練習
Understanding Validity24分鐘
Doing Tests of Assumptions30分鐘
3.6
131 個審閱29%
83%
熱門審閱
創建者 DS•Jun 4th 2017
This was really useful. The course was well structured and provided excellent real-life examples that are easily transferrable to other scenarios. Keep it up!
創建者 ZW•Jul 26th 2017
Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it
講師
Scott Klemmer
ProfessorCognitive Science & Computer Science
Jacob O. Wobbrock
ProfessorThe Information School
關於 University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
關於 Interaction Design 專項課程
You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.
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