Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistics for Psychology Using R: A Linear Models Perspective

Statistics for Psychology Using R: A Linear Models Perspective

Clarke, Alasdair

Paperback

General Psychology

ISBN10: 0335252621
ISBN13: 9780335252626
Publisher: Open University Press
Published: Aug 4 2025
Pages: 282
Weight: 1.00
Height: 0.59 Width: 6.69 Depth: 9.61
Language: English
This is the first accessible resource to linear models and R coding for Psychology students! Clarke and Lisi have mastered the art of explaining complex concepts and statistical analyses in an easy-to-understand manner and a seamless pathway.
Charlotte Pennington, Senior Lecturer in Psychology, Aston University, UK

An invaluable resource that bridges the gap between statistical theory and practical application, providing a unified approach to common statistical tests through the lens of linear models.
Massimiliano Pastore, Professor of Psychometrics, University of Padua, Italy

An ideal introduction to statistics for undergraduates and above. With a focus on coding in R and the general linear model, it builds complexity in knowledge, skills, and the ability to answer a range of questions without the need to gloss over or hide the details that deepen understanding. An excellent preparation for psychologists and behavioural scientists more broadly.
Glenn Williams, Assistant Professor in Psychology, Northumbria University, UK

Are you intimidated by statistics? Fear no longer! Statistics for Psychology Using R provides you with an accessible introduction to statistics using R and encourages you to develop a critical understanding of applied statistics that will prepare you for the modern demands of psychological research, such as advancing psychological theories, improving research methods or tackling contemporary challenges.

Introducing essential statistical concepts such as t-tests, ANOVA, correlation, and regression within a unified framework based on linear models, this book offers a powerful and intuitive way to analyse data while highlighting the connections between statistical techniques rather than treating them as separate procedures. It will act as a trusted guide for psychology and social science students at undergraduate and postgraduate level, especially, but not exclusively, for those using R. It will also benefit professionals seeking to update their understanding of statistics and enhance their data analysis skills as part of their continuous professional development, especially those looking to apply advanced techniques using R.

Statistics for Psychology Using R is accompanied by an Online Learning Centre (OLC) featuring practical activities, including data analysis exercises that map onto the content covered by the chapters and scenario-based exercises that draw on databases to enable students to put their knowledge into practice.

Key Features:
  • Accessible introduction to statistics using R
  • Promotes critical understanding of applied statistics
  • Focuses on linear models to offer a unified and flexible approach to data analysis
  • Shows how practical applications of R can advance psychological theories, improve research methods or tackle contemporary challenges
  • Aimed at psychology and social science undergraduate and postgraduate students, as well as professionals seeking statistics and R training as part of their continuous professional development
Alasdair Clarke is Senior Lecturer in Psychology at the University of Essex, UK. He originally studied Mathematics before going on to complete a PhD in Computer Science. His current re-search interests are centred around visual perception & decision making, alongside the development of improved research methods for cognitive psychology.

Matteo Lisi is Lecturer in Psychology at Royal Holloway, University of London, UK. He holds a PhD in Cognitive Science from the University of Padua, Italy. His research employs psycho-physics, eye-tracking and computational modelling to study visual perception and decision-making, focusing on how people process uncertainty in various conte

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