Python For Experimental Psychologists
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Python For Experimental Psychologists
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Author : Edwin S. Dalmaijer
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-11
Python For Experimental Psychologists written by Edwin S. Dalmaijer and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-11 with Psychology categories.
Python for Experimental Psychologists equips researchers who have no prior programming experience with the essential knowledge to independently script experiments and analyses in the programming language Python. This book offers an excellent introduction, whether you are an undergraduate, a PhD candidate, or an established researcher. This updated edition is on Python 3 (the most current version). It starts by teaching the fundamentals of programming in Python and then offers several chapters on scripting experiments (displaying stimuli, obtaining and logging user input, precision timing, etc.) using the popular PsychoPy package. The remainder of the book is dedicated to data analysis and includes chapters on reading/writing to text files, time series, eye tracking, data visualisation, and statistics. Access to online support material enriches the learning experience with colour figures, example stimuli, datasets, scripts, and a portable Windows installation of Python. This book assumes no prior knowledge, and its informal and accessible tone helps readers with backgrounds in experimental psychology and cognitive neuroscience to quickly understand Python. It serves as a useful resource not only for researchers in these fields but also for lecturers instructing on methodology and data analysis. Python for Experimental Psychologists demystifies programming complexities and empowers researchers to proficiently conduct experiments and analyse their results.
Python For Experimental Psychologists
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Author : Edwin S. Dalmaijer
language : en
Publisher: Routledge
Release Date : 2016-11-03
Python For Experimental Psychologists written by Edwin S. Dalmaijer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-03 with Psychology categories.
Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It sports a very readable syntax, intuitive variable management, and a very large body of functionality that ranges from simple arithmetic to complex computing. Python for Experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script experiments and analyses in Python. The skills it offers include: how to display stimuli on a computer screen; how to get input from peripherals (e.g. keyboard, mouse) and specialised equipment (e.g. eye trackers); how to log data; and how to control timing. In addition, it shows readers the basic principles of data analysis applied to behavioural data, and the more advanced techniques required to analyse trace data (e.g. pupil size) and gaze data. Written informally and accessibly, the book deliberately focuses on the parts of Python that are relevant to experimental psychologists and cognitive neuroscientists. It is also supported by a companion website where you will find colour versions of the figures, along with example stimuli, datasets and scripts, and a portable Windows installation of Python.
Programming Experiments In Python
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Author : Jonathan Peirce
language : en
Publisher:
Release Date : 2022-01-14
Programming Experiments In Python written by Jonathan Peirce and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-14 with categories.
Python is a free, open-source, cross-platform programming language that allows a great deal to be accomplished in very few lines of code. As well as having a powerful, flexible syntax, Python can interface easily with other libraries and hardware on any computer system, making it ideal for interacting with additional devices hardware (e.g. for fMRI, EEG, eye tracking etc.). Python has become the go-to language for a wide variety of behavioural science studies and experiments. Aimed at advanced undergraduate students, postgraduate students and professional scientists, this textbook provides a comprehensive guide to enable readers to write experiments in Python, or using Python within PsychoPy. This text offers a more advanced guide to developing psychological experiments in Python and can be used as a guide to using software and hardware together - for example, programming a psychological experiment using eye tracking software or EEG systems. Highly practical in nature, the book shows how to programme one full experiment and how to analyse data and scripting. Read together with Building Experiments in PsychoPy, this text is designed to support students who are familiar with PsychoPy and how want to progress into programming in the original software package Python (on which PsychoPy is built). It will help advanced students to programme directly in Python and support them when they use hardware in their experiments, and it particularly suited to those students programming experiments in cognitive psychology and neuroscience.
Building Experiments In Psychopy
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Author : Jonathan Peirce
language : en
Publisher: SAGE
Release Date : 2022-01-12
Building Experiments In Psychopy written by Jonathan Peirce and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-12 with Psychology categories.
PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." – Susanne Quadflieg, University of Bristol
Experimental Psychology
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Author : Prof. Dr. Bilal Semih Bozdemir
language : en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date :
Experimental Psychology written by Prof. Dr. Bilal Semih Bozdemir and has been published by Prof. Dr. Bilal Semih Bozdemir this book supported file pdf, txt, epub, kindle and other format this book has been release on with Art categories.
Experimental psychology is a branch of psychology that employs scientific methods to study and understand psychological phenomena. The principal objective of experimental psychology is to investigate the underlying cognitive processes, emotions, behaviors, and social interactions through empirical observation and controlled experimentation. This chapter aims to provide an overview of the foundational principles that underpin experimental psychology, its objectives, and the significance of its methodologies in the broader context of psychological research. The foundation of experimental psychology lies in the belief that behaviors and mental processes can be quantified, measured, and manipulated in a systematic manner. This empirical investigation predominately stems from the principles of behaviorism and cognitive psychology, among others. The approach seeks to elucidate the cause-and-effect relationships between variables, thereby accumulating knowledge that can be generalized to broader populations and contexts. One of the foundational concepts of experimental psychology is hypothesis testing. Researchers formulate specific, testable predictions about the relationship between variables based on existing theories and literature. These hypotheses guide the experimental design, leading to the identification of independent variables (IVs), dependent variables (DVs), and control variables. The manipulation of IVs allows researchers to observe changes in DVs, thus uncovering psychological insights through structured experimentation.
Data Analysis With Machine Learning For Psychologists
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Author : Chandril Ghosh
language : en
Publisher: Springer Nature
Release Date : 2022-10-17
Data Analysis With Machine Learning For Psychologists written by Chandril Ghosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Psychology categories.
The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market. While there are plenty of books covering data science, rarely, if ever, books in the market address the need of social science students with no computer science background. They are typically written by engineers or computer scientists for people of their discipline. As a result, often such books are filled with technical jargon and examples irrelevant to psychological studies or projects. In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim for this book was to make the learning experience on this topic as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions.
Building Experiments In Psychopy
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Author : Jonathan Peirce
language : en
Publisher: SAGE
Release Date : 2018-05-26
Building Experiments In Psychopy written by Jonathan Peirce and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-26 with Psychology categories.
Written by Jonathan Peirce, the original creator of PsychoPy, and Michael MacAskill, this textbook provides a detailed guide on how to use PsychoPy, the popular new software gaining traction in Psychology.
Bayesian Cognitive Modeling
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Author : Michael D. Lee
language : en
Publisher: Cambridge University Press
Release Date : 2014-04-03
Bayesian Cognitive Modeling written by Michael D. Lee and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-03 with Psychology categories.
Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.
Eye Tracking With Python And Pylink
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Author : Zhiguo Wang
language : en
Publisher: Springer Nature
Release Date : 2021-11-26
Eye Tracking With Python And Pylink written by Zhiguo Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Psychology categories.
Several Python programming books feature tools designed for experimental psychologists. What sets this book apart is its focus on eye-tracking. Eye-tracking is a widely used research technique in psychology and neuroscience labs. Research grade eye-trackers are typically faster, more accurate, and of course, more expensive than the ones seen in consumer goods or usability labs. Not surprisingly, a successful eye-tracking study usually requires sophisticated computer programming. Easy syntax and flexibility make Python a perfect choice for this task, especially for psychology researchers with little or no computer programming experience. This book offers detailed coverage of the Pylink library, a Python interface for the gold standard EyeLink ® eye-trackers, with many step-by-step example scripts. This book is a useful reference for eye-tracking researchers, but you can also use it as a textbook for graduate-level programming courses.
Computer Assisted Experiment Design In Psychology
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Author : St. Clements University Academic Staff - Türkiye
language : en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date :
Computer Assisted Experiment Design In Psychology written by St. Clements University Academic Staff - Türkiye and has been published by Prof. Dr. Bilal Semih Bozdemir this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
Computer-Assisted Experiment Design in Psychology The Need for Efficient Experiment Design Understanding Experiment Design Challenges Limitations of Traditional Experiment Design Methods Introducing Computer-Assisted Experiment Design Benefits of Computer-Assisted Experiment Design Improved Statistical Power and Precision Enhanced Experimental Control and Validity Reduced Time and Resources for Experiment Execution Optimized Participant Recruitment and Allocation Key Considerations in Computer-Assisted Experiment Design Experimental Variables and Hypotheses Identifying Independent and Dependent Variables Establishing Appropriate Control Conditions Minimizing Confounding Factors Designing Data Collection Protocols Selecting Appropriate Outcome Measures Ensuring Ethical Considerations Leveraging Computational Algorithms in Experiment Design Factorial Designs and Response Surface Methodology Adaptive Designs and Sequential Experimentation Bayesian Optimization and Adaptive Randomization Machine Learning Approaches in Experiment Design Case Studies in Computer-Assisted Experiment Design Improving Clinical Trial Design and Efficiency Enhancing Behavioral Intervention Studies Optimizing User Experience Research Integrating Computer-Assisted Design with Existing Workflows Overcoming Challenges and Limitations Ensuring Reproducibility and Transparency Addressing Regulatory Concerns and Best Practices Ethical Considerations in Automated Experiment Design Training and Upskilling Researchers Collaboration between Researchers and Computer Scientists The Future of Computer-Assisted Experiment Design Emerging Trends and Innovations Integrating with Artificial Intelligence and Machine Learning Enhancing Interdisciplinary Collaboration Expanding Applications beyond Psychology Ensuring Responsible and Equitable Implementation Conclusion: Unlocking the Potential of Computer-Assisted Experiment Design