Modern Statistical Methods for HCI

This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader.  Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event his...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Robertson, Judy (Editor ), Kaptein, Maurits (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Human-Computer Interaction Series,
Temas:
User interfaces (Computer systems).
Human-computer interaction.
Social sciences-Statistical methods.
User Interfaces and Human Computer Interaction.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface
  • An Introduction to Modern Statistical Methods for HCI
  • Part I: Getting Started With Data Analysis
  • Getting started with [R]: A Brief Introduction
  • Descriptive Statistics, Graphs, and Visualization
  • Handling Missing Data
  • Part II: Classical Null Hypothesis Significance Testing Done Properly
  • Effect sizes and Power in HCI
  • Using R for Repeated and Time-Series Observations
  • Non-Parametric Statistics in Human-Computer Interaction
  • Part III : Bayesian Inference
  • Bayesian Inference
  • Bayesian Testing of Constrained Hypothesis
  • Part IV: Advanced Modeling in HCI
  • Latent Variable Models
  • Using Generalized Linear (Mixed) Models in HCI
  • Mixture Models: Latent Profile and Latent Class Analysis
  • Part V: Improving Statistical Practice in HCI
  • Fair Statistical Communication in HCI
  • Improving Statistical Practice in HCI.

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