Hardback ISBN: 9781108478311
Hardback publication date: 24 June 2021
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Measuring Behaviour
An Introductory Guide
4th edition
, Newcastle University,
Online ISBN: 9781108776462
Online publication date:
07 May 2021
Paperback ISBN: 9781108745727
Paperback publication date: 24 June 2021
- Textbook
Measuring Behaviour is the established go-to text for anyone interested in scientific methods for studying the behaviour of animals or humans. It is widely used by students, teachers and researchers in a variety of fields, including biology, psychology, the social sciences and medicine. This new fourth edition has been completely rewritten and reorganised to reflect major developments in how behavioural studies are conducted. It includes new sections on the replication crisis, covering Open Science initiatives such as preregistration, as well as fully up-to-date information on the use of remote sensors, big data and artificial intelligence in capturing and analysing behaviour. The sections on the analysis and interpretation of data have been rewritten to align with current practices, with advice on avoiding common pitfalls. Although fully revised and revamped, this new edition retains the simplicity, clarity and conciseness that have made Measuring Behaviour a classic since the first edition appeared more than 30 years ago.
Measuring Behaviour is the established go-to text for anyone interested in scientific methods for studying the behaviour of animals or humans. It is widely used by students, teachers and researchers in a variety of fields, including biology, psychology, the social sciences and medicine. This new fourth edition has been completely rewritten and reorganised to reflect major developments in how behavioural studies are conducted. It includes new sections on the replication crisis, covering Open Science initiatives such as preregistration, as well as fully up-to-date information on the use of remote sensors, big data and artificial intelligence in capturing and analysing behaviour. The sections on the analysis and interpretation of data have been rewritten to align with current practices, with advice on avoiding common pitfalls. Although fully revised and revamped, this new edition retains the simplicity, clarity and conciseness that have made Measuring Behaviour a classic since the first edition appeared more than 30 years ago.
Big Data in the Psychological Sciences
, University of Chicago
Coming soon
Online ISBN: 9781009343602
Expected online publication date:
October 2025
Hardback ISBN: 9781009343589
Expected Hardback publication date: 31 October 2025
Paperback ISBN: 9781009343572
Expected Paperback publication date: 31 October 2025
- Textbook
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
Foundations of MATLAB Programming for Behavioral Sciences
With Applications
, Northwestern University, Illinois
Online ISBN: 9781009350303
Expected online publication date:
September 2025
Hardback ISBN: 9781009350273
Hardback publication date: 07 August 2025
Paperback ISBN: 9781009350297
Paperback publication date: 07 August 2025
- Textbook
This textbook introduces the fundamentals of MATLAB for behavioral sciences in a concise and accessible way. Written for those with or without computer programming experience, it works progressively from fundamentals to applied topics, culminating in in-depth projects. Part I covers programming basics, ensuring a firm foundation of knowledge moving forward. Difficult topics, such as data structures and program flow, are then explained with examples from the behavioral sciences. Part II introduces projects for students to apply their learning directly to real-world problems in computational modelling, data analysis, and experiment design, with an exploration of Psychtoolbox. Accompanied by online code and datasets, extension materials, and additional projects, with test banks, lecture slides, and a manual for instructors, this textbook represents a complete toolbox for both students and instructors.
This textbook introduces the fundamentals of MATLAB for behavioral sciences in a concise and accessible way. Written for those with or without computer programming experience, it works progressively from fundamentals to applied topics, culminating in in-depth projects. Part I covers programming basics, ensuring a firm foundation of knowledge moving forward. Difficult topics, such as data structures and program flow, are then explained with examples from the behavioral sciences. Part II introduces projects for students to apply their learning directly to real-world problems in computational modelling, data analysis, and experiment design, with an exploration of Psychtoolbox. Accompanied by online code and datasets, extension materials, and additional projects, with test banks, lecture slides, and a manual for instructors, this textbook represents a complete toolbox for both students and instructors.
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