Handbook of Statistical Methods: Single Subject Design

Plural Publishing
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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. 

With this book, 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. 

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Additional Information

Publisher
Plural Publishing
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Published on
Jun 2, 2008
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Pages
172
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ISBN
9781597568470
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Language
English
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Genres
Medical / Audiology & Speech Pathology
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Content Protection
This content is DRM protected.
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Available on Android devices
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Eligible for Family Library

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Bioinformatics involves specialized application of computer technology to investigative and conceptual problems in biology and medicine; neuroinformatics (NI) is the practice of bioinformatics in the neurosciences. Over the past two decades the biomedical sciences have been revolutionized by databases, data mining and data modeling techniques.

The Human Genome Project, which depended on informatics methods, has been the most well recognized bioinformatics undertaking. Bioinformatics has since been applied all across biology and medicine, and has also transformed almost every avenue in neuroscience. Yet in neuropsychology, NI perspectives remain largely unrealized. Ironically, NI offers enormous potential to the essential praxis of neuropsychology - assessing cognitive behavior and relating cognition to neural systems. Neuroinformatics can be applied to neuropsychology as richly as it has been applied across the neurosciences.

Neuroinformatics for Neuropsychology is the first book to explain the relevance and value of NI to neuropsychology. It systematically describes NI tools, applications and models that can enhance the efforts of neuropsychologists. It also describes the implications of NI for neuropsychology in the 21st century – fundamental shifts away from the conventional modes of research, practice and communication that have thus far characterized the field. One of the foremost experts on the subject:

Illustrates the vital role NI is playing throughout the neurosciences.

Provides a sampling of NI tools and applications in neuroscience research, and lays out current organization structures that support NI.

Describes the lack of NI in neuropsychology, differentiates between NI systems for neuropsychology and conventional computerized assessment methods, and proposes criteria for neuropsychology-specific NI systems.

Describes NI applications and models currently in use in neuropsychology, and NI models for neuropsychology that are being pioneered in phenomics research.

Discusses potential obstacles and aids to NI in neuropsychology, including issues such as data sharing, standardization of methods, and data ontology.

Projects the future of neuropsychological research and practice in light of the new generation of the internet, Web 2.0, geared to collective knowledge building.

A vital introduction to a profound technological practice, Neuroinformatics for Neuropsychology is important reading for clinical neuropsychologists, cognitive neuroscientists, behavioral neurologists, and speech-language pathologists. Researchers, clinicians, and graduate students interested in informatics for the brain-behavioral sciences will especially welcome this unique volume.

 How does Deaf culture fit into education, psychology, cultural studies, technology and the arts? Deaf Culture: Exploring Deaf Communities in the United States addresses this through both theoretical and practical information. With the recognition of American Sign Language (ASL) as a bona fide language, the perception of Deaf people has evolved into the recognition of a vibrant Deaf culture centered around the use of signed languages and the communities of Deaf people.

This text also describes how rapid advances in technology, including the Internet as well as new visual and auditory technologies, have not only created opportunities for Deaf people to influence how technology can be used, but additionally has become a powerful force in influencing the behavior of Deaf individuals within diverse national and international societies. This has created opportunities for incorporating diversity and international perspectives into Deaf culture. Within each chapter are multiple vignettes, examples, pictures, and stories to enhance content interest for readers and facilitate instructor teaching. Theories are introduced and explained in a practical and reader-friendly manner to ensure understanding, and clear examples are provided to illustrate concepts.

In addition, students of American Sign Language and Deaf studies will find an introduction to possible opportunities for professional and informal involvement with ASL/Deaf culture children and adults. Deaf Culture fills a unique niche as an introductory text that is accessible and straightforward for those beginning their studies of the Deaf-World.

Key Features:

* Strong focus on including different communities within Deaf culture
* Thought-provoking questions, illustrative vignettes, and examples
* Theories introduced and explained in a practical and reader-friendly manner
* Written by Deaf and hearing authors with extensive teaching experience and immersion in ASL and Deaf culture

Disclaimer: Please note that ancillary content (such as documents, audio, and video, etc.) may not be included as published in the original print version of this book.


Statistical Methods and Reasoning for the Clinical Sciences: Evidence-Based Practice provides practitioners with the scientific literacy needed to understand statistical methods in order to increase the accuracy of their diagnoses.

With case studies included on a companion website, this text will help readers comprehend how the process of clinical research relates to the scientific method of problem solving. Readers will understand the importance of three key, interrelated tasks involved in a research study: description (why it was done), explanation (what was done and to whom), and contextualization (how the results relate to other bodies of knowledge).

This text also examines the following:

The two basic elements of statistical reasoning that constitute evidence-based practice: deductive inference (from effect to cause) and inductive inference (from cause to effect).Classical statistical methods-statistical terms/vocabulary, population parameters, and sampling methods-as well as descriptive statistical methods-measures, correlation, and regression.The fundamentals of statistical inference that include testing hypotheses using a z-test, t-test, ANOVA, and MANOVA.The concept of probability, through various concrete examples and a step-by-step approach, which is a fundamental part of the clinical decision-making process.Evidence-based probabilistic methods called Minimum Bayes Factor (MBF) for measuring the strength of clinical evidence more precisely and as an alternative to classical testing hypotheses methods.Rationales and procedures of other statistical methods frequently seen in clinical literature, like meta-analysis, nonparametric methods, categorical analyses, and single subject designs.

This text not only distinguishes between the concepts of "statistical significance" and "clinical significance," often not clearly addressed in other texts, but it also emphasizes the value of scientific literacy in evidence-based practice. 

 Covering an array of evidence-based content, including aphasia, traumatic brain injury, dementia, and language in aging, Aphasia and Other Acquired Neurogenic Language Disorders: A Guide for Clinical Excellence is a must-have textbook for clinicians and students studying to be speech-language pathologists. This clinical guide strategically addresses scientific foundations, service delivery, international and multicultural perspectives, assessment, and treatment.

Organized to maximize adult learning, the book is adaptable for multiple pedagogic methods for classroom-based courses, independent study, and online learning.Aphasia and Other Acquired Neurogenic Language Disorders: A Guide for Clinical Excellence provides clinicians and students a clear pathway for quality and effectiveness in clinical practice.

Key features include:

* A rigorous approach to the art and science of clinical practice, integrating diverse theoretical perspectives for a global readership
* Guidance on advocacy, ethics, reimbursement, legal aspects, and counseling
* An emphasis on person-centered, empowering approaches to maximize life participation
* Extensive assessment resources and a process analysis approach for analyzing communicative performance and interpreting assessment results
* How-to content on more than 50 intervention approaches
* Diagrams, charts, illustrations, summary tables, a substantial glossary, a detailed index, and rich up-to-date references
* Systematic queries that enliven clear learning objectives


Pedagogy includes:

* Extensive assessment resources and a process analysis approach for analyzing communicative performance and interpreting assessment results
* Clear and concise clinical examples to ensure relevance of information based on realistic scenarios
* Systematic queries that enliven clear learning objectives
* Diagrams, charts, illustrations, summary tables, a substantial glossary, a detailed index, and rich up-to-date references
* Key terms in bold within the chapter and listed in a glossary

Disclaimer: Please note that ancillary content (such as documents, audio, and video, etc.) may not be included as published in the original print version of this book. 

Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures.

This new edition of Medical Statistics at a Glance:

Presents key facts accompanied by clear and informative tables and diagramsFocuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of computer data analysis rather than complex hand calculationsIncludes extensive cross-referencing, a comprehensive glossary of terms and flow-charts to make it easier to choose appropriate testsNow provides the learning objectives for each chapterIncludes a new chapter on Developing Prognostic ScoresIncludes new or expanded material on study management, multi-centre studies, sequential trials, bias and different methods to remove confounding in observational studies, multiple comparisons, ROC curves and checking assumptions in a logistic regression analysisThe companion website at www.medstatsaag.com contains supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment.

Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.

Reviews of the previous editions

"The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose. It is now a valuable companion to my formal statistics course."
–International Journal of Epidemiology

"I heartily recommend it, especially to first years, but it's equally appropriate for an intercalated BSc or Postgraduate research. If statistics give you headaches - buy it. If statistics are all you think about - buy it."
–GKT Gazette

"...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book."
–4th Year Medical Student, Barts and the London Chronicle, Spring 2003

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