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Modern Statistical Methods for HCI

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Cover of 'Modern Statistical Methods for HCI'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Modern Statistical Methods in HCI
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    Chapter 2 Getting Started with [R]; a Brief Introduction
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    Chapter 3 Descriptive Statistics, Graphs, and Visualisation
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    Chapter 4 Handling Missing Data
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    Chapter 5 Effect Sizes and Power Analysis in HCI
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    Chapter 6 Using R for Repeated and Time-Series Observations
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    Chapter 7 Nonparametric Statistics in Human–Computer Interaction
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    Chapter 8 Bayesian Inference
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    Chapter 9 Bayesian Testing of Constrained Hypotheses
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    Chapter 10 Latent Variable Models
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    Chapter 11 Using Generalized Linear (Mixed) Models in HCI
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    Chapter 12 Mixture Models: Latent Profile and Latent Class Analysis
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    Chapter 13 Fair Statistical Communication in HCI
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    Chapter 14 Improving Statistical Practice in HCI
Attention for Chapter 9: Bayesian Testing of Constrained Hypotheses
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