Handbook of Applied Behavior Analysis
Handbook of Applied Behavior Analysis

Author: Wayne W. Fisher

Publisher: Guilford Publications

Published: 2021-07-14

Total Pages: 642

ISBN-13: 1462543766

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"Widely regarded as the authoritative work on the principles and practice of applied behavior analysis (ABA), this indispensable volume is now in a revised and expanded second edition. Leading experts present evidence-based procedures for supporting positive behaviors and reducing problem behaviors with children and adults in diverse contexts. Chapters delve into applications in education, autism treatment, addictions, behavioral pediatrics, and other areas. Covering everything from behavioral assessment and measurement to the design and implementation of individualized interventions, the Handbook is a complete reference and training tool for ABA practitioners and students. Key Words/Subject Areas: ABA therapy, behavior analysts, developmental disabilities, autism spectrum disorders, autism treatments, behavior management, functional behavioral assessments, texts, textbooks, research handbooks, positive reinforcement, behavioral pediatrics, behavioural, behaviorism, children, adults, principles and procedures, graduate courses, classes, BCBA certification, training, reducing problem behaviors, treating autistic kids, behavioral treatments, early interventions, positive behavior supports, comprehensive guide, special education Audience: Behavior analysts and trainees working with children and adults, including special educators, school and clinical psychologists, autism specialists, and behavioral medicine professionals"--

Clinical and Organizational Applications of Applied Behavior Analysis
Clinical and Organizational Applications of Applied Behavior Analysis

Author: Henry S. Roane

Publisher: Academic Press

Published: 2015-06-20

Total Pages: 682

ISBN-13: 0128007931

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Applied behavior analysts use applied research to create and implement effective evidence-based procedures in schools, homes, and the community, which have proved effective in addressing behaviors associated with autism and other developmental disorders. The principles underlying this therapeutic approach have been increasingly effective when applied to other populations, settings, and behaviors. Clinical and Organizational Applications of Applied Behavior Analysis explores data-based decision-making in depth to inform treatment selection for behavior change across various populations and contexts. Each chapter addresses considerations related to data collection, single-case research design methodology, objective decision-making, and visual inspection of data. The authors reference a range of published research methods in the area of applied behavior analysis (ABA) as it has been applied to specific topics, as well as utilizing their own clinical work by providing numerous case examples. - Reviews current evidence-based practices to provide a comprehensive guide to the application of ABA principles across a range of clinical contexts and applications - Divides clinical applications into three sections for ease-of-use: child, adult, and broad-based health - Explores the breadth of ABA-based treatment beyond autism and developmental disorders - Draws upon a range of subject-matter experts who have clinical and research experience across multiple uses of ABA

Multiculturalism and Diversity in Applied Behavior Analysis
Multiculturalism and Diversity in Applied Behavior Analysis

Author: Brian M. Conners

Publisher: Taylor & Francis

Published: 2024-09-30

Total Pages: 164

ISBN-13: 1040115187

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This textbook provides a theoretical and clinical framework for addressing multiculturalism and diversity in the field of applied behavior analysis (ABA). Featuring contributions from national experts, practicing clinicians, researchers, and academics which balance both a scholarly and practical perspective, this book guides the reader through theoretical foundations to clinical applications to help behavior analysts understand the impact of diversity in the ABA service delivery model. This fully updated second edition includes updates applicable to the new BACB® Ethics Code for Behavior Analysts. Chapters contain case studies, practice considerations, and discussion questions to aid further learning. Accompanying the book is an online test bank for students and instructors to assess the knowledge they have learned about various diversity topics. This book is essential for graduate students and faculty in ABA programs, supervisors looking to enhance a supervisee’s understanding of working with diverse clients, and practicing behavior analysts in the field wanting to increase their awareness of working with diverse populations.

Behavior Analysis and Learning
Behavior Analysis and Learning

Author: W. David Pierce

Publisher: Psychology Press

Published: 2013-08-21

Total Pages: 881

ISBN-13: 1135071497

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Behavior Analysis and Learning, Fifth Edition is an essential textbook covering the basic principles in the field of behavior analysis and learned behaviors, as pioneered by B. F. Skinner. The textbook provides an advanced introduction to operant conditioning from a very consistent Skinnerian perspective. It covers a range of principles from basic respondent and operant conditioning through applied behavior analysis into cultural design. Elaborating on Darwinian components and biological connections with behavior, the book treats the topic from a consistent worldview of selectionism. The functional relations between the organism and the environment are described, and their application in accounting for old behavior and generating new behavior is illustrated. Expanding on concepts of past editions, the fifth edition provides updated coverage of recent literature and the latest findings. There is increased inclusion of biological and neuroscience material, as well as more data correlating behavior with neurological and genetic factors. The chapter on verbal behavior is expanded to include new research on stimulus equivalence and naming; there is also a more detailed and updated analysis of learning by imitation and its possible links to mirror neurons. In the chapter on applied behavior analysis (ABA), new emphasis is given to contingency management of addiction, applications to education, ABA and autism, and prevention and treatment of health-related problems. The material presented in this book provides the reader with the best available foundation in behavior science and is a valuable resource for advanced undergraduate and graduate students in psychology or other behavior-based disciplines. In addition, a website of supplemental resources for instructors and students makes this new edition even more accessible and student-friendly (www.psypress.com/u/pierce).

An Introduction to Behavior Analysis
An Introduction to Behavior Analysis

Author: Gregory J. Madden

Publisher: John Wiley & Sons

Published: 2021-02-02

Total Pages: 467

ISBN-13: 1119126541

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AN INTRODUCTION TO BEHAVIOR ANALYSIS Explore a fascinating introductory treatment of the principles of behavior analysis written by three leading voices in the field An Introduction to Behavior Analysis delivers an engaging and comprehensive introduction to the concepts and applications for graduate students of behavior analysis. Written from the ground up to capture and hold student interest, the book keeps its focus on practical issues. The book offers readers sound analyses of Pavlovian and operant learning, reinforcement and punishment, motivation and stimulus control, language and rule-following, decision-making and clinical behavior analysis. With fully up to date empirical research references and theoretical content, An Introduction to Behavior Analysis thoroughly justifies every principle it describes with empirical support and explicitly points out where more data are required. The text encourages students to analyze their own experiences and some foundational findings in the field in a way that minimizes jargon and maximizes engagement. Readers will also benefit from the inclusion of: A clear articulation and defense of the philosophical assumptions and overarching goals of behavior analysis. A thorough description of objective data collection, experimental methods, and data analysis in the context of psychology An exploration of the core principles of behavior analysis, presented at a level comprehensible to an introductory audience A broad array of principles that cover issues as varied as language, substance-use disorders, and common psychological disorders Perfect for students taking their first course in behavior analysis or behavior modification, An Introduction to Behavior Analysis will also earn a place in the libraries of students pursuing certification through the Behavior Analysis Certification Board or taking courses in the applied psychological sciences.

Research Methods in Applied Behavior Analysis
Research Methods in Applied Behavior Analysis

Author: Jon S. Bailey

Publisher: SAGE Publications

Published: 2002-02-13

Total Pages: 284

ISBN-13: 1506318991

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This very practical, how-to text provides the beginning researcher with the basics of applied behavior analysis research methods. In 10 logical steps, this text covers all of the elements of single-subject research design and it provides practical information for designing, implementing, and evaluating studies. Using a pocketbook format, the authors provide novice researcher with a "steps-for-success" approach that is brief, to-the-point, and clearly delineated.

Understanding Applied Behavior Analysis
Understanding Applied Behavior Analysis

Author: Albert J. Kearney

Publisher: Jessica Kingsley Pub

Published: 2008

Total Pages: 117

ISBN-13: 9781843108603

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Albert J. Kearney explains the kinds of learning and reinforcement processes that form the basis of ABA programs. He then describes how the science of behavior analysis can be applied to real life problems. He looks at how behavior is assessed and various intervention techniques that are often employed with children who have special needs.

Behavior Analysis with Machine Learning Using R
Behavior Analysis with Machine Learning Using R

Author: Enrique Garcia Ceja

Publisher: CRC Press

Published: 2021-11-26

Total Pages: 370

ISBN-13: 1000484254

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Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.