Description
Statistics for Applied Behavior Analysis Practitioners and Researchers provides practical and useful content for individuals who work directly with, or supervise those who work directly with, individuals with ASD. This book introduces core concepts and principles of modern statistical analysis that practitioners will need to deliver ABA services. The organization of the book works through the flow of behavior analytic service provision, aiming to help practitioners read through research, evaluate intervention options, incorporate statistics in their analysis of time-series intervention and assessment data, and effectively communicate assessment and intervention effects using statistics.As professionals who provide applied behavior analysis (ABA) services are required to use evidence-based practices and make data-based decisions regarding assessments and interventions, this book will help them take a modern, scientific approach to derive knowledge and make decisions based on statistical literacy.- Describes the logic behind the many variations to statistically describe human behavior- Explains the conditions under which variations in statistical description are most appropriate- Highlights common methods for quantitively determine the effectiveness of an intervention- Discusses the unique challenges of the time-series data and reviews current solutions- Covers current standards in writing and presenting statistical effects of interventions- Reviews the application of statistical description for both single-case and between-group experimental designs
Table of Contents
1. The requisite boring stuff Part I: Defining a statistic and the benefit of numbers 2. The requisite boring stuff Part II: Data types and data distributions 3. How can we describe our data with numbers? Central tendency and point estimates 4. Just how stable is responding? Estimating variability 5. Just how good is my intervention? Statistical significance, effect sizes and social significance 6. Oh, shoot! I forgot about that! Estimating the influence of uncontrolled variables 7. How fast can I get to an answer? Sample size, power, and observing behavior 8. Wait, you mean the clock is always ticking? The unique challenges time adds to statistically analyzing time series data 9. This math and time thing is cool! Time series decomposition and forecasting behavior 10. I suppose I should tell someone about the fun I've had: Chapter checklists for thinking, writing, and presenting statistics 11. Through the looking glass: Probability theory, frequentist statistics and Bayesian statistics
