Statistics for HCI
Making Sense of Quantitative Data
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Beschreibung
Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.
Presents different options for analyzing data and discusses their strengths and weaknesses Equips readers with the skills to critically assess the validity of statistical data and apply the information Provides a valuable resource for experienced students, researchers, and practitioners who utilize statistical analysis
Autor*in
Alan Dix
Themen in »Statistics for HCI«
Statistics Human–Computer Interaction Quantitative Data Evaluation Hypothesis Testing Bayesian Statistics Significance Testing P-hacking