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Multivariate Analysis for the Behavioral Sciences, Second Edition

Af: Brian S. Everitt, Kimmo Vehkalahti Engelsk Paperback

Multivariate Analysis for the Behavioral Sciences, Second Edition

Af: Brian S. Everitt, Kimmo Vehkalahti Engelsk Paperback
Tjek vores konkurrenters priser

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter.

After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis.



Features:





  • Presents an accessible introduction to multivariate analysis for behavioral scientists


  • Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage


  • Includes nearly 100 exercises for course use or self-study


  • Supplemented by a GitHub repository with all datasets and R code for the examples and exercises


  • Theoretical details are separated from the main body of the text


  • Suitable for anyone working in the behavioral sciences with a basic grasp of statistics
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Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter.

After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis.



Features:





  • Presents an accessible introduction to multivariate analysis for behavioral scientists


  • Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage


  • Includes nearly 100 exercises for course use or self-study


  • Supplemented by a GitHub repository with all datasets and R code for the examples and exercises


  • Theoretical details are separated from the main body of the text


  • Suitable for anyone working in the behavioral sciences with a basic grasp of statistics
Produktdetaljer
Sprog: Engelsk
Sider: 438
ISBN-13: 9780367656751
Indbinding: Paperback
Udgave: 2
ISBN-10: 0367656752
Udg. Dato: 30 sep 2020
Længde: 33mm
Bredde: 232mm
Højde: 156mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 30 sep 2020
Forfatter(e) Brian S. Everitt, Kimmo Vehkalahti


Kategori Psykologisk metodologi


ISBN-13 9780367656751


Sprog Engelsk


Indbinding Paperback


Sider 438


Udgave 2


Længde 33mm


Bredde 232mm


Højde 156mm


Udg. Dato 30 sep 2020


Oplagsdato 30 sep 2020


Forlag Taylor & Francis Ltd

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