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.
Este curso forma parte de Programa Especializado - Diseño de interacciones
Designing, Running, and Analyzing Experiments
ofrecido por
Acerca de este Curso
3.6
372 calificaciones
Habilidades que obtendrás
ExperimentExperimental DesignStatistical ModelR ProgrammingStatistics
Programa - Qué aprenderás en este curso
Semana
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 videos (Total 19 minutos), 1 reading, 1 quiz
1 lectura
ALL COURSE MATERIALS10m
1 ejercicio de práctica
Understanding the Basics16m
Semana
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 videos (Total 41 minutos), 2 quizzes
7 videos
04. Getting Started with R and RStudio2m
05. Exploring Data and a First Test of Proportions7m
06. Understanding and Reporting Your First Statistical Test5m
07. Exact Tests, Asymptotic Tests, and the Binomial Test2m
08. More One-Sample Tests of Proportions9m
09. Two-Sample Tests of Proportions11m
2 ejercicios de práctica
Understanding Tests of Proportions36m
Doing Tests of Proportions30m
Semana
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 videos (Total 25 minutos), 2 quizzes
2 videos
11. Analyzing a Simple A/B Test with a T-Test10m
2 ejercicios de práctica
Understanding Experiment Designs20m
Doing Independent-Samples T-Tests30m
Semana
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 videos (Total 41 minutos), 2 quizzes
4 videos
13. Data Assumptions and Distributions14m
14. Testing for ANOVA Assumptions9m
15. Mann-Whitney, a Nonparametric T-Test2m
2 ejercicios de práctica
Understanding Validity24m
Doing Tests of Assumptions30m
24%
comenzó una nueva carrera después de completar estos cursos
22%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Principales revisiones
por 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!
por 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
Instructores
Scott Klemmer
ProfessorCognitive Science & Computer Science
Jacob O. Wobbrock
ProfessorThe Information School
Acerca de Universidad de California en 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.
Acerca del programa especializado Diseño de interacciones
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
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