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Designing, Running, and Analyzing Experiments
  • Level Professional
  • Duration 15 hours
  • Course by University of California San Diego
  • Offered by

About

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.

Modules

What You Will Learn in this Course

    • 1 Videos
    • 1 Readings
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1 Videos

  • 01. What You Will Learn in this Course

1 Readings

  • ALL COURSE MATERIALS

Basic Experiment Design Concepts

    • 1 Videos
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1 Videos

  • 02. Basic Experiment Design Concepts

Module 1 Assessment

    • 1 Assignment
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1 Assignment

  • Understanding the Basics

Description of a Study of User Preferences

    • 1 Videos
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1 Videos

  • 03. Description of a Study of User Preferences

Getting Started with R and RStudio

    • 1 Videos
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1 Videos

  • 04. Getting Started with R and RStudio

Exploring Data and a First Test of Proportions

    • 1 Videos
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1 Videos

  • 05. Exploring Data and a First Test of Proportions

Understanding and Reporting Your First Statistical Test

    • 1 Videos
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1 Videos

  • 06. Understanding and Reporting Your First Statistical Test

Exact Tests, Asymptotic Tests, and the Binomial Test

    • 1 Videos
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1 Videos

  • 07. Exact Tests, Asymptotic Tests, and the Binomial Test

More One-Sample Tests of Proportions

    • 1 Videos
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1 Videos

  • 08. More One-Sample Tests of Proportions

Two-Sample Tests of Proportions

    • 1 Videos
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1 Videos

  • 09. Two-Sample Tests of Proportions

Module 2 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Tests of Proportions
  • Doing Tests of Proportions

Experiment Design Concepts in a Simple A/B Test

    • 1 Videos
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1 Videos

  • 10. Experiment Design Concepts in a Simple A/B Test

Analyzing a Simple A/B Test with a T-Test

    • 1 Videos
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1 Videos

  • 11. Analyzing a Simple A/B Test with a T-Test

Module 3 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Experiment Designs
  • Doing Independent-Samples T-Tests

Designing for Experimental Control

    • 1 Videos
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1 Videos

  • 12. Designing for Experimental Control

Data Assumptions and Distributions

    • 1 Videos
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1 Videos

  • 13. Data Assumptions and Distributions

Testing for ANOVA Assumptions

    • 1 Videos
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1 Videos

  • 14. Testing for ANOVA Assumptions

Mann-Whitney, a Nonparametric T-Test

    • 1 Videos
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1 Videos

  • 15. Mann-Whitney, a Nonparametric T-Test

Module 4 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Validity
  • Doing Tests of Assumptions

Description of a Study for a Oneway ANOVA

    • 1 Videos
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1 Videos

  • 16. Description of a Study for a Oneway ANOVA

Analyzing and Reporting a Oneway ANOVA

    • 1 Videos
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1 Videos

  • 17. Analyzing and Reporting a Oneway ANOVA

Kruskal-Wallis, a Nonparametric Oneway ANOVA

    • 1 Videos
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1 Videos

  • 18. Kruskal-Wallis, a Nonparametric Oneway ANOVA

Module 5 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Oneway Designs
  • Doing Oneway ANOVAs

Description of a Study for a Oneway Repeated Measures ANOVA

    • 1 Videos
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1 Videos

  • 19. Description of a Study for a Oneway Repeated Measures ANOVA

Counterbalancing Repeated Measures Factors

    • 1 Videos
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1 Videos

  • 20. Counterbalancing Repeated Measures Factors

Long-Format and Wide-Format Data Tables

    • 1 Videos
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1 Videos

  • 21. Long-Format and Wide-Format Data Tables

The Paired T-Test and Wilcoxon Signed-Rank Test

    • 1 Videos
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1 Videos

  • 22. The Paired T-Test and Wilcoxon Signed-Rank Test

Analyzing a Repeated Measures ANOVA and Friedman Test

    • 1 Videos
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1 Videos

  • 23. Analyzing a Repeated Measures ANOVA and Friedman Test

Module 6 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Oneway Repeated Measures Designs
  • Doing Oneway Repeated Measures ANOVAs

Description of a Study for a Factorial ANOVA

    • 1 Videos
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1 Videos

  • 24. Description of a Study for a Factorial ANOVA

Understanding Interaction Effects

    • 1 Videos
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1 Videos

  • 25. Understanding Interaction Effects

Analyzing a Factorial ANOVA

    • 1 Videos
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1 Videos

  • 26. Analyzing a Factorial ANOVA

The ART, a Nonparametric Factorial ANOVA

    • 1 Videos
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1 Videos

  • 27. The ART, a Nonparametric Factorial ANOVA

Module 7 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Factorial Designs
  • Doing Factorial ANOVAs

Introduction to Generalized Linear Models

    • 1 Videos
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1 Videos

  • 28. Introduction to Generalized Linear Models

Analyzing Three Generalized Linear Models

    • 1 Videos
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1 Videos

  • 29. Analyzing Three Generalized Linear Models

Module 8 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Generalized Linear Models
  • Doing Generalized Linear Models

Introduction to Mixed Effects Models

    • 1 Videos
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1 Videos

  • 30. Introduction to Mixed Effects Models

Analyzing a Linear Mixed Model

    • 1 Videos
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1 Videos

  • 31. Analyzing a Linear Mixed Model

Analyzing a Generalized Linear Mixed Model

    • 1 Videos
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1 Videos

  • 32. Analyzing a Generalized Linear Mixed Model

Course in Review

    • 1 Videos
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1 Videos

  • 33. Course in Review

Module 9 Assessment

    • 2 Assignment
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2 Assignment

  • Understanding Mixed Effects Models
  • Doing Mixed Effects Models

Auto Summary

Master the art of user experience testing with "Designing, Running, and Analyzing Experiments." This professional-level course focuses on UX, IxD, and HCI, teaching participants to design, conduct, and analyze user-centered experiments using R. With no prior programming experience required, learners will gain practical skills through real-world examples. Offered by Coursera, it spans 900 minutes and is available through a Starter subscription, ideal for professionals aiming to enhance their experimental design expertise.

Scott Klemmer
Instructors

Scott Klemmer

Jacob O. Wobbrock
Instructors

Jacob O. Wobbrock