このコースについて
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自分のスケジュールですぐに学習を始めてください。

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中級レベル

約23時間で修了

推奨:9 weeks, 8-10 hours/week...

英語

字幕:英語, スペイン語

習得するスキル

ExperimentExperimental DesignStatistical ModelR ProgrammingStatistics

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約23時間で修了

推奨:9 weeks, 8-10 hours/week...

英語

字幕:英語, スペイン語

シラバス - 本コースの学習内容

1
1時間で修了

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件のビデオ (合計19分), 1 reading, 1 quiz
2件のビデオ
02. Basic Experiment Design Concepts8 分
1件の学習用教材
ALL COURSE MATERIALS10 分
1の練習問題
Understanding the Basics16 分
2
2時間で修了

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件のビデオ (合計41分), 2 quizzes
7件のビデオ
04. Getting Started with R and RStudio2 分
05. Exploring Data and a First Test of Proportions7 分
06. Understanding and Reporting Your First Statistical Test5 分
07. Exact Tests, Asymptotic Tests, and the Binomial Test2 分
08. More One-Sample Tests of Proportions9 分
09. Two-Sample Tests of Proportions11 分
2の練習問題
Understanding Tests of Proportions36 分
Doing Tests of Proportions30 分
3
1時間で修了

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....
2件のビデオ (合計25分), 2 quizzes
2件のビデオ
11. Analyzing a Simple A/B Test with a T-Test10 分
2の練習問題
Understanding Experiment Designs20 分
Doing Independent-Samples T-Tests30 分
4
2時間で修了

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件のビデオ (合計41分), 2 quizzes
4件のビデオ
13. Data Assumptions and Distributions14 分
14. Testing for ANOVA Assumptions9 分
15. Mann-Whitney, a Nonparametric T-Test2 分
2の練習問題
Understanding Validity24 分
Doing Tests of Assumptions30 分
5
1時間で修了

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件のビデオ (合計14分), 2 quizzes
3件のビデオ
17. Analyzing and Reporting a Oneway ANOVA9 分
18. Kruskal-Wallis, a Nonparametric Oneway ANOVA3 分
2の練習問題
Understanding Oneway Designs12 分
Doing Oneway ANOVAs30 分
6
2時間で修了

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件のビデオ (合計49分), 2 quizzes
5件のビデオ
20. Counterbalancing Repeated Measures Factors8 分
21. Long-Format and Wide-Format Data Tables3 分
22. The Paired T-Test and Wilcoxon Signed-Rank Test14 分
23. Analyzing a Repeated Measures ANOVA and Friedman Test15 分
2の練習問題
Understanding Oneway Repeated Measures Designs20 分
Doing Oneway Repeated Measures ANOVAs30 分
7
3時間で修了

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件のビデオ (合計40分), 2 quizzes
4件のビデオ
25. Understanding Interaction Effects5 分
26. Analyzing a Factorial ANOVA12 分
27. The ART, a Nonparametric Factorial ANOVA14 分
2の練習問題
Understanding Factorial Designs20 分
Doing Factorial ANOVAs30 分
8
1時間で修了

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....
2件のビデオ (合計25分), 2 quizzes
2件のビデオ
29. Analyzing Three Generalized Linear Models18 分
2の練習問題
Understanding Generalized Linear Models20 分
Doing Generalized Linear Models30 分
9
2時間で修了

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....
4件のビデオ (合計35分), 2 quizzes
4件のビデオ
31. Analyzing a Linear Mixed Model11 分
32. Analyzing a Generalized Linear Mixed Model10 分
33. Course in Review2 分
2の練習問題
Understanding Mixed Effects Models24 分
Doing Mixed Effects Models30 分
3.6
145件のレビューChevron Right

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人気のレビュー

by 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!

by 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

講師

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Scott Klemmer

Professor
Cognitive Science & Computer Science
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Jacob O. Wobbrock

Professor
The Information School

カリフォルニア大学サンディエゴ校について

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....

インタラクションデザインの専門講座について

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....
インタラクションデザイン

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