In the behavioral and clinical sciences, single-subject designs have increasingly become important tools for determining a treatment efficacy. Despite a large number of recommendations in recent years for more use of the designs, the majority of typical research methods textbooks still do not provide sufficient direction and information about single-subject designs. One of the main reasons is that data analysis of single-subject designs is still foreign to the vast majority of the investigators, practitioners, and students. The authors have developed a practical guide of the most commonly used approaches in analyzing and interpreting single-subject data. In doing so, they have arranged the methodologies used in a logical sequence using an array of research studies from the existing published literatures to illustrate specific applications. The handbook is also laid out for the readers in a highly lucid and straightforward manner, beginning with a brief discussion of each approach such as visual, inferential, and probabilistic model, the applications for which it is intended, and a step-by-step illustration of the test as used in an actual research study. Presented is a brief evaluation of the strengths and limitations of the test along with its suitability, or lack thereof, for particular scales of measurement. Also included are statistical applications of such computer programs as Minitab and SPSS for the analysis of statistical data. This new handbook provides the readers with a concise yet comprehensive approach to help them further understand the concepts as effectively and simply as possible.
Adrienne B. Hancock, PhD (George Washington University), Doody's Review Service (2009):
"***** 5 Stars! Credible and familiar names in statistics, these authors guide readers from basic measurement concepts to Bayesian statistics in a pleasantly surprising easy-to-follow, concise, and useful manner. Even beginning graduate students with minimal statistical background would benefit. More advanced doctoral students or researchers will find refreshing the numerous statistical options offered in addition to the current lackluster standard of visual analysis for single-subject designs. ... I know of no other books like this, especially one so directly applicable to speech pathology and audiology -- and I have looked!"
- Part I: Theoretical Foundations and Statistical Methods of Single Subject Research
- Frequently Asked Questions
- Part II: Clinical Applications in the Behavioral and Health Sciences: Description, Graph, & Statistical Analysis
- Single Subject Designs in the Treatment of Anomia in Aphasia
- Single Subject Designs in the Treatment of Dysarthria
- Single Subject Designs in Clinical and Rehabilitation Psychology
- Single Subject Designs in the Assessment of Speech and Hearing Following Cochlear Implants
- Single Subject Designs in Training Interventions for Children with Autism
- Appendix: Analysis of Single Subject Data Using the Beta Probability Distribution
About The Authors
Eiki Satake, PhD, is an associate professor of mathematics and statistics at Emerson College in Boston, Massachusetts. He has written numerous scholastic articles and instructional textbooks on statistical methods and statistics education. He has also conducted several research seminars and short courses on evidence-based statistics at national and international academic conferences. His research interests include Bayesian statistical methods and probabilistic approaches to evidence-based practice.
Dr. Jagaroo is a cognitive neuroscientist. He is presently an Assistant Professor of Psychology in the Department of Communication Sciences and Disorders at Emerson College and a Research Scientist with the Department of Psychiatry and the Behavioral Neuroscience Program at Boston University School of Medicine.
His research interests include the neurocognitive aspects of visuospatial representation and mental rotation; computational models of hemispatial neglect; the development of neuroinformatics tools for neuropsychology; and theoretical models to describe interactions between prefrontal, posterior parietal and temporo-limbic circuitry of the brain.
He has taught courses on computer applications in biomedical sciences, and currently teaches courses on sensory systems, cognition and perception, the brain and neuroanatomy.
David L. Maxwell, PhD, Professor of Communication Sciences and Disorders, Emerson College.
Dr. Maxwell has held teaching, consulting and research positions in numerous medical and educational institutions including the : Department of Behavioral Neurology of the Eunice Kennedy Shriver Center and Massachusetts General Hospital; Boston University Medical School; Boston University Graduate School of Dental Medicine; Institute for the Correction of Facial Deformities, University Hospital; New England Medical Center; and the Cognitive Behavioral Assessment Unit of the Douglas Thom Clinic. His research has spanned a range of topics including communication and learning disorders that have a neurological basis or that stem from malformations, stuttering and related fluency disorders and, more recently, the use of probability statistics to improve the accuracy of diagnostic tests. He is the author or co-author of three text books including: Theory of Probability for Clinical Diagnostic Testing (1993), Ron John; Research and Statistical Methods in Communication Disorders (1997), Williams & Wilkin; and Research and Statistical Methods in Communication Sciences and Disorders(2006), Delmar Learning. His administrative appointments have included Head of Speech Pathology at Boston Naval Hospital; Associate Director of the Institute for the Correction of Facial Deformities, Boston University Graduate School of Dental Medicine; Director of the Craniofacial Studies Program at the Eunice Kennedy Shriver Center and Massachusetts General Hospital; Acting Chair of the Department of Communication Disorders at Emerson College, Acting Vice-President for Academic Affairs at Emerson College, and Dean of the Faculty at Emerson College. Presently, he is a member of the faculty at Emerson College and teaches courses in anatomy and physiology of speech and hearing, and research and statistical methods, brain and human behavior, and origin and evolution of life.
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