Buch, Englisch, 344 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 502 g
Understanding the Science That Can Change Your Life
Buch, Englisch, 344 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 502 g
ISBN: 978-0-367-75084-8
Verlag: Routledge
How to Think Like a Behavior Analyst is a revolutionary resource for understanding complex human behavior and making potentially significant quality-of-life improvements.
Practical and clearly written, this second edition addresses basic questions like how behavior analysts work, why specific methods and procedures are used, what alternative "fad" treatments are, and more. The updated text answers 70 frequently asked questions about behavior analysis using an accessible question-and-answer format. Each question now includes a Quick Take, which is a simple and easy-to-read answer to the question, and then a more in-depth Technically Speaking answer that is more challenging. A brand-new chapter discusses ways of advancing one’s career in the field and how to go to graduate school and become board certified.
This text is written for all professionals concerned with behavior, including undergraduate students in psychology and behavior analysis, parents, teachers, employers, and employees. The book can easily be used as a supplement to primary texts in introductory psychology courses, and the exercises that follow each question can be used to stimulate lively discussion in role-play and other active learning situations.
Zielgruppe
Postgraduate, Professional, and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
PART ONE: The Big Picture 1. Basic Concepts and Principles 2. General Issues of Behavior Analysis 3. The Science and Technology of Behavior Analysis 4. The Philosophy Behind Behavior Analysis 5. Applications of Behavior Analysis 6. The Behavioral Take on Other Fields of Psychology 7. Myths and the Media PART TWO: Becoming a Professional 8. Starting Your Career in Behavior Analysis 9. Advancing Your Career in ABA 10. Ethics in Behavior Analysis