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.
Ce cours fait partie de la Spécialisation Interaction Design
Designing, Running, and Analyzing Experiments
proposé par
À propos de ce cours
3.6
359 notes
Compétences que vous acquerrez
ExperimentExperimental DesignStatistical ModelR ProgrammingStatistics
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
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 vidéos (Total 19 min), 1 lecture, 1 quiz
1 lectures
All Course Materials10 min
1 exercices pour s'entraîner
Understanding the Basics16 min
Semaine
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 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
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 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
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 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
3.6
131 avis29%
a commencé une nouvelle carrière après avoir terminé ces cours
26%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
par 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!
par 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
Enseignants
Scott Klemmer
ProfessorCognitive Science & Computer Science
Jacob O. Wobbrock
ProfessorThe Information School
À propos de 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.
À propos de la Spécialisation Interaction Design
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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
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