Statistics for Applied Behavior Analysis Practitioners and Researchers

ISBN-13: 9780323998857 / Angielski / Miękka / 2023

David J. Cox; Jason C. Vladescu

Recenzje

"Statistics? In behavior analysis?! YES. Whether you're looking to better summarize client data, increase the impact of your scholarship, or simply searching for a way to get started in stats, this book is for you. Cox and Vladescu provide humor, engaging examples, and simple illustrations to demystify statistics, all while harnessing their expertise in the science of learning to render this an effective introductory text. Statistics for Applied Behavior Analysis Practitioners and Researchers is a resource that should be on all behavior analysts' bookshelves." --Dr. Derek Reed (Director of Applied Behavioral Sciences at Institutes for Behavior Resources, Inc.)

"We live in a statistical world, and statistical tools are the lingua franca of the evidence-based practice movement. Behavior analysts will find no better introduction to these tools than Cox and Vladescu's book. A breezy narrative makes the explanation as painless as possible and gives equal emphasis to what should be done and -- critically for newcomers to statistics -- why it should be done. The result will be useful to investigators who care about attracting interdisciplinary attention to their research, and to practitioners who seek to stay abreast of research advances. I see this book as a must-have reference as well as a critical complement to any research design course for behavior analysts." -- Thomas S. Critchfield, Illinois State University

Spis treści

1. Defining a Statistic and the Benefits of Numbers 2. Frequentist and Bayesian Approaches

Part I: Literature Reviews Before Assessment or Intervention 3. Central Tendency and Point Estimates (mean, median, mode, rate of responding, percentage correct) 4. Variation (standard deviation, standard error, variance) 5. Effect Sizes, Statistical Significance, and Social Significance 6. Controlling for Uncontrolled Variables 7. Data Distributions, Data Types, and Other Hairy Considerations

Part II: Statistics Related to Single-Subject Assessment and Intervention 8. Small-N designs, Power, and Observing Behavior 9. Unique Challenges of Time-Series Data and Simple Solutions 10. Advanced Time-Series Analysis and Forecasting Future Behavior

Part III: Communicating with Numbers 11. Current Standards in Writing and Presenting Statistically About Intervention Effects