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"This book will be written primarily for graduate students, advanced undergraduates, and professionals in the fields of school psychology, special education, and other areas of education, as well as the health professions. We see the book as being a viable textbook for courses in research design, applied statistics, applied behavioral analysis, and practicum, among others. We would not assume of the readers any prior knowledge about single subjects designs, nor any prior statistical experience. We will provide an introductory chapter devoted to basic statistical concepts, including measures of central tendency (e.g., mean, median, mode), measures of variation (e.g., variance, standard deviation, range, inter-quartile range), correlation, frequency distributions, and effect sizes. In addition, given that the book will rely heavily on Microsoft Excel software, the introductory chapter will also devote attention to the basics of using the software for organizing data, conducting basic statistical analyses, and for graphics. The Excel commands used to carry out these analyses will be largely automated so that users will only need to define the range for their data, and then enter it into the Excel spreadsheet. We envision these tools being available on the book website, with instructions for using them available in the book itself. We envision the book as being useful either as a primary text for a course in educational research designs, school psychology practicum, applied behavioral analysis, special education, or applied statistics. We also anticipate that individuals working in schools, school districts, mental health facilities, hospitals, applied behavioral analysis clinics, and evaluation organizations, as well as faculty members needing a practical resource for single subject design research, will all serve as a market for the book. In short, the readership would include graduate students, faculty members, teachers, psychologists, social workers, counselors, medical professionals, applied behavioral analysis professionals, program evaluators, and others whose work focuses on monitoring changes in individuals, particularly as the result of specific treatment conditions. We believe that this book could be marketed through professional organizations such as the American Educational Research Association (AERA), the National Association of School Psychologists, the National Association of Special Education Teachers, the Association for Professional Behavior Analysis, the American Psychological Association (APA), the Association for Psychological Science, and the American Evaluation Association. Within AERA, the following special interest groups would have particular interest in this book: Action Research, Classroom Observation, Disability Studies in Education, Mixed Methods Research, Qualitative Research, and Special Education Research. The book could also be marketed to state departments of education and their special education and school psychology divisions. Currently, many state departments of education require documentation for Response to Intervention (RtI) and Multi-Tiered Systems of Support (MTSS) procedures for individual students. The method taught in this proposed book would allow educators and student support personnel to document the effectiveness of interventions systematically and accurately"--
Educational psychology --- Single subject research --- Educational statistics --- Data processing
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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
Clinical medicine --- Single subject research --- Research, Single subject --- Same-subject research --- Single case research --- Psychology --- Social sciences --- Medicine, Clinical --- Medicine --- Statistical methods --- Research
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Psychology --- Social sciences --- Single subject research --- Empirical Research --- Personality --- Psychological Phenomena --- Psychology, Social --- Behavior and Behavior Mechanisms --- Psychiatry --- Research --- Science --- Natural Science Disciplines --- Occupations --- Qualitative Research --- Individuality --- Internal-External Control --- Psychological Theory --- Methodology --- Single subject research. --- Empirical Research. --- Personality. --- Psychological Phenomena. --- Psychology, Social. --- Behavior and Behavior Mechanisms. --- Psychiatry. --- Research. --- Science. --- Natural Science Disciplines. --- Occupations. --- Qualitative Research. --- Individuality. --- Internal-External Control. --- Psychological Theory. --- Methodology.
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Using an integrated case study approach, the book begins with the underlying logic of single-case (and its relations to applied behaviour analysis) designs, specific design strategies and tactics, data presentation and interpretation, and the general advantages of single-subject research for those working in applied settings - particularly courses in psychology, social work, counseling and therapy, nursing, and related human services and allied health sciences.
Medical sciences --- Single subject research --- Social sciences --- Behavioral Research --- Health Services Research --- Research Design --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Research, Single subject --- Same-subject research --- Single case research --- Psychology --- Basic medical sciences --- Basic sciences, Medical --- Biomedical sciences --- Health sciences --- Preclinical sciences --- Sciences, Medical --- Life sciences --- Medicine --- Data Adjustment --- Data Reporting --- Design, Experimental --- Designs, Experimental --- Error Sources --- Experimental Designs --- Matched Groups --- Methodology, Research --- Problem Formulation --- Research Methodology --- Research Proposal --- Research Strategy --- Research Technics --- Research Techniques --- Scoring Methods --- Experimental Design --- Adjustment, Data --- Adjustments, Data --- Data Adjustments --- Design, Research --- Designs, Research --- Error Source --- Formulation, Problem --- Formulations, Problem --- Group, Matched --- Groups, Matched --- Matched Group --- Method, Scoring --- Methods, Scoring --- Problem Formulations --- Proposal, Research --- Proposals, Research --- Reporting, Data --- Research Designs --- Research Proposals --- Research Strategies --- Research Technic --- Research Technique --- Scoring Method --- Source, Error --- Sources, Error --- Strategies, Research --- Strategy, Research --- Technic, Research --- Technics, Research --- Technique, Research --- Techniques, Research --- Research --- Clinical Trials Data Monitoring Committees --- Research&delete& --- Methodology --- methods --- Single subject research. --- Methodology.
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Single Subject Designs in Biomedicine draws upon the rich history of single case research within the educational and behavioral research settings and extends the application to the field of biomedicine. Biomedical illustrations are used to demonstrate the processes of designing, implementing, and evaluating a single subject design. Strengths and limitations of various methodologies are presented, along with specific clinical areas of application in which these applications would be appropriate. Statistical and visual techniques for data analysis are also discussed. The breadth and depth of information provided is suitable for medical students in research oriented courses, primary care practitioners and medical specialists seeking to apply methods of evidence practice to improve patient care, and medical researchers who are expanding their methodological expertise to include single subject designs. Increasing awareness of the utility in the single subject design could enhance treatment approach and evaluation both in biomedical research and medical care settings.
Biomedical engineering -- Research. --- Clinical medicine -- Research. --- Single subject research. --- Medical anthropology --- Investigative Techniques --- Research --- Science --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Natural Science Disciplines --- Disciplines and Occupations --- Biomedical Research --- Methods --- Research Design --- Public Health --- Anthropology --- Social Sciences --- Health & Biological Sciences --- Physical Anthropology --- Public Health - General --- Biomedical engineering --- Clinical medicine --- Research. --- Research, Single subject --- Same-subject research --- Single case research --- Clinical engineering --- Medical engineering --- Medicine. --- Critical care medicine. --- Primary care (Medicine). --- Probabilities. --- Statistics. --- Social sciences. --- Medicine & Public Health. --- Intensive / Critical Care Medicine. --- Biomedicine general. --- Probability Theory and Stochastic Processes. --- Primary Care Medicine. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Methodology of the Social Sciences. --- Psychology --- Social sciences --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Distribution (Probability theory. --- Emergency medicine. --- Methodology. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Medicine, Emergency --- Critical care medicine --- Disaster medicine --- Medical emergencies --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Intensive care --- Intensive medicine --- Emergency medicine --- Intensive care units --- Statistics . --- Biomedicine, general. --- Health Workforce --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Primary medical care --- Medical care --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk
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