À propos de ce cours
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Niveau intermédiaire

Approx. 23 heures pour terminer

Recommandé : 9 weeks, 8-10 hours/week...

Anglais

Sous-titres : Anglais, Espagnol

Compétences que vous acquerrez

ExperimentExperimental DesignStatistical ModelR ProgrammingStatistics

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Niveau intermédiaire

Approx. 23 heures pour terminer

Recommandé : 9 weeks, 8-10 hours/week...

Anglais

Sous-titres : Anglais, Espagnol

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
1 heure pour terminer

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 vidéos (Total 19 min), 1 lecture, 1 quiz
2 vidéos
02. Basic Experiment Design Concepts8 min
1 lecture
ALL COURSE MATERIALS10 min
1 exercice pour s'entraîner
Understanding the Basics16 min
Semaine
2
2 heures pour terminer

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 vidéos (Total 41 min), 2 quiz
7 vidéos
04. Getting Started with R and RStudio2 min
05. Exploring Data and a First Test of Proportions7 min
06. Understanding and Reporting Your First Statistical Test5 min
07. Exact Tests, Asymptotic Tests, and the Binomial Test2 min
08. More One-Sample Tests of Proportions9 min
09. Two-Sample Tests of Proportions11 min
2 exercices pour s'entraîner
Understanding Tests of Proportions36 min
Doing Tests of Proportions30 min
Semaine
3
1 heure pour terminer

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 vidéos (Total 25 min), 2 quiz
2 vidéos
11. Analyzing a Simple A/B Test with a T-Test10 min
2 exercices pour s'entraîner
Understanding Experiment Designs20 min
Doing Independent-Samples T-Tests30 min
Semaine
4
2 heures pour terminer

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 vidéos (Total 41 min), 2 quiz
4 vidéos
13. Data Assumptions and Distributions14 min
14. Testing for ANOVA Assumptions9 min
15. Mann-Whitney, a Nonparametric T-Test2 min
2 exercices pour s'entraîner
Understanding Validity24 min
Doing Tests of Assumptions30 min
Semaine
5
1 heure pour terminer

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 vidéos (Total 14 min), 2 quiz
3 vidéos
17. Analyzing and Reporting a Oneway ANOVA9 min
18. Kruskal-Wallis, a Nonparametric Oneway ANOVA3 min
2 exercices pour s'entraîner
Understanding Oneway Designs12 min
Doing Oneway ANOVAs30 min
Semaine
6
2 heures pour terminer

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 vidéos (Total 49 min), 2 quiz
5 vidéos
20. Counterbalancing Repeated Measures Factors8 min
21. Long-Format and Wide-Format Data Tables3 min
22. The Paired T-Test and Wilcoxon Signed-Rank Test14 min
23. Analyzing a Repeated Measures ANOVA and Friedman Test15 min
2 exercices pour s'entraîner
Understanding Oneway Repeated Measures Designs20 min
Doing Oneway Repeated Measures ANOVAs30 min
Semaine
7
3 heures pour terminer

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 vidéos (Total 40 min), 2 quiz
4 vidéos
25. Understanding Interaction Effects5 min
26. Analyzing a Factorial ANOVA12 min
27. The ART, a Nonparametric Factorial ANOVA14 min
2 exercices pour s'entraîner
Understanding Factorial Designs20 min
Doing Factorial ANOVAs1h 30min
Semaine
8
1 heure pour terminer

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 vidéos (Total 25 min), 2 quiz
2 vidéos
29. Analyzing Three Generalized Linear Models18 min
2 exercices pour s'entraîner
Understanding Generalized Linear Models20 min
Doing Generalized Linear Models30 min
Semaine
9
2 heures pour terminer

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 vidéos (Total 35 min), 2 quiz
4 vidéos
31. Analyzing a Linear Mixed Model11 min
32. Analyzing a Generalized Linear Mixed Model10 min
33. Course in Review2 min
2 exercices pour s'entraîner
Understanding Mixed Effects Models24 min
Doing Mixed Effects Models1h 30min
3.6
146 avisChevron Right

24%

a commencé une nouvelle carrière après avoir terminé ces cours

21%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Principaux examens pour Concevoir, éxecuter et analyser des expériences

par 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!

par 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

Enseignants

Avatar

Scott Klemmer

Professor
Cognitive Science & Computer Science
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Jacob O. Wobbrock

Professor
The Information School

À propos de Université de Californie à 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....

À propos de la Spécialisation Conception interactive

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....
Conception interactive

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