课程信息
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第 7 门课程(共 8 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为23 小时

建议:9 weeks, 8-10 hours/week...

英语(English)

字幕:英语(English), 西班牙语(Spanish)

您将获得的技能

ExperimentExperimental DesignStatistical ModelR ProgrammingStatistics

第 7 门课程(共 8 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为23 小时

建议:9 weeks, 8-10 hours/week...

英语(English)

字幕:英语(English), 西班牙语(Spanish)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

Basic 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 usability, its participants, apparatus, procedure, and design & analysis. This module covers lecture videos 1-2.

...
2 个视频 (总计 19 分钟), 1 个阅读材料, 1 个测验
2 个视频
02. Basic Experiment Design Concepts8分钟
1 个阅读材料
ALL COURSE MATERIALS10分钟
1 个练习
Understanding the Basics16分钟
2
完成时间为 2 小时

Tests 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 个视频 (总计 41 分钟), 2 个测验
7 个视频
04. Getting Started with R and RStudio2分钟
05. Exploring Data and a First Test of Proportions7分钟
06. Understanding and Reporting Your First Statistical Test5分钟
07. Exact Tests, Asymptotic Tests, and the Binomial Test2分钟
08. More One-Sample Tests of Proportions9分钟
09. Two-Sample Tests of Proportions11分钟
2 个练习
Understanding Tests of Proportions36分钟
Doing Tests of Proportions30分钟
3
完成时间为 1 小时

The 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.

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2 个视频 (总计 25 分钟), 2 个测验
2 个视频
11. Analyzing a Simple A/B Test with a T-Test10分钟
2 个练习
Understanding Experiment Designs20分钟
Doing Independent-Samples T-Tests30分钟
4
完成时间为 2 小时

Validity 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 个视频 (总计 41 分钟), 2 个测验
4 个视频
13. Data Assumptions and Distributions14分钟
14. Testing for ANOVA Assumptions9分钟
15. Mann-Whitney, a Nonparametric T-Test2分钟
2 个练习
Understanding Validity24分钟
Doing Tests of Assumptions30分钟
5
完成时间为 1 小时

One-Factor Between-Subjects Experiments

In this module, you will learn about one-factor between-subjects experiments. The experiment examined will be a between-subjects study of task completion time with various programming tools. You will understand and analyze data from two-level factors and three-level factors using the independent-samples t-test, Mann-Whitney U test, one-way ANOVA, and Kruskal-Wallis test. You will learn how to report an F-test. You will also understand omnibus tests and how they relate to post hoc pairwise comparisons with adjustments for multiple comparisons. This module covers lecture videos 16-18.

...
3 个视频 (总计 14 分钟), 2 个测验
3 个视频
17. Analyzing and Reporting a Oneway ANOVA9分钟
18. Kruskal-Wallis, a Nonparametric Oneway ANOVA3分钟
2 个练习
Understanding Oneway Designs12分钟
Doing Oneway ANOVAs30分钟
6
完成时间为 2 小时

One-Factor Within-Subjects Experiments

In this module, you will learn about one-factor within-subjects experiments, also known as repeated measures designs. The experiment examined will be a within-subjects study of subjects searching for contacts in a smartphone contacts manager, including the analysis of times, errors, and effort Likert-type scale ratings. You will learn counterbalancing strategies to avoid carryover effects, including full counterbalancing, Latin Squares, and balanced Latin Squares. You will understand and analyze data from two-level factors and three-level factors using the paired-samples t-test, Wilcoxon signed-rank test, oneway repeated measures ANOVA, and Friedman test. This module covers lecture videos 19-23.

...
5 个视频 (总计 49 分钟), 2 个测验
5 个视频
20. Counterbalancing Repeated Measures Factors8分钟
21. Long-Format and Wide-Format Data Tables3分钟
22. The Paired T-Test and Wilcoxon Signed-Rank Test14分钟
23. Analyzing a Repeated Measures ANOVA and Friedman Test15分钟
2 个练习
Understanding Oneway Repeated Measures Designs20分钟
Doing Oneway Repeated Measures ANOVAs30分钟
7
完成时间为 3 小时

Factorial Experiment Designs

In this module, you will learn about experiments with multiple factors and factorial ANOVAs. The experiment examined will be text entry performance on different smartphone keyboards while sitting, standing, and walking. Topics include mixed factorial designs, interaction effects, factorial ANOVAs, and the Aligned Rank Transform as a nonparametric factorial ANOVA. This module covers lecture videos 24-27.

...
4 个视频 (总计 40 分钟), 2 个测验
4 个视频
25. Understanding Interaction Effects5分钟
26. Analyzing a Factorial ANOVA12分钟
27. The ART, a Nonparametric Factorial ANOVA14分钟
2 个练习
Understanding Factorial Designs20分钟
Doing Factorial ANOVAs1 小时 30 分
8
完成时间为 1 小时

Generalizing the Response

In this module, you will learn about analyses for non-normal or non-numeric responses for between-subjects experiments using Generalized Linear Models (GLM). We will revisit three previous experiments and analyze them using generalized models. Topics include a review of response distributions, nominal logistic regression, ordinal logistic regression, and Poisson regression. This module covers lecture videos 28-29.

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2 个视频 (总计 25 分钟), 2 个测验
2 个视频
29. Analyzing Three Generalized Linear Models18分钟
2 个练习
Understanding Generalized Linear Models20分钟
Doing Generalized Linear Models30分钟
9
完成时间为 2 小时

The Power of Mixed Effects Models

In this module, you will learn about mixed effects models, specifically Linear Mixed Models (LMM) and Generalized Linear Mixed Models (GLMM). We will revisit our prior experiment on text entry performance on smartphones but this time, keeping every single measurement trial as part of the analysis. The full set of analyses covered in this course will also be reviewed. This module covers lecture videos 30-33.

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4 个视频 (总计 35 分钟), 2 个测验
4 个视频
31. Analyzing a Linear Mixed Model11分钟
32. Analyzing a Generalized Linear Mixed Model10分钟
33. Course in Review2分钟
2 个练习
Understanding Mixed Effects Models24分钟
Doing Mixed Effects Models1 小时 30 分
3.6
146 个审阅Chevron Right

24%

完成这些课程后已开始新的职业生涯

21%

通过此课程获得实实在在的工作福利

来自设计,运行和实验分析的热门评论

创建者 DSJun 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!

创建者 ZWJul 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

讲师

Avatar

Scott Klemmer

Professor
Cognitive Science & Computer Science
Avatar

Jacob O. Wobbrock

Professor
The Information School

关于 加州大学圣地亚哥分校

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