Human Measurement Techniques in Speech and Language Pathology gives an overview of elicitation methods in the assessment and diagnosis of speech and language disorders and explains approaches to the qualification of the obtained data in terms of agreement and reliability. Despite technological advances in the assessment and diagnosis of speech and language disorders, the role of human judgements is as important as ever. Written to be accessible to students, researchers and practitioners alike, the book not only provides an overview of elicitation procedures of human judgement such as visual analog scaling, Likert scaling etc. but also presents methodological and statistical approaches to quality assessment of judgements. The book introduces statistical procedures for processing scores obtained in paired comparisons and in the context of signal detection theory, and introduces software relevant for the calculation of a large number of coefficients of reliability and agreement. Featuring a wealth of reader-friendly pedagogy throughout, including instructions for using SPSS and R software, clarified by many illustrations and tables, example reports, and exercise questions to test the readers understanding, it is an ideal companion for advanced students and researchers in the field of speech pathology.
Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language researchers, like power analysis, quasi F, F1, F2 and minF'. This book offers a thorough introduction to the basic principles of analysis of variance, based on examples taken from language research, and goes beyond the conventional topics treated in introductory textbooks, as it covers topics like 'violations of assumptions', 'missing data', 'problems in repeated measures designs', 'alternatives to analysis of variance' (such as randomization tests and multilevel analysis). Each chapter consists of four sections: treatment of the subject under discussion, a summary of relevant terms and concepts, a section devoted to reporting statistics, and finally an exercise section. After the first introductory chapter, in which fundamental concepts like 'variables', 'cases' and SPSS data formats are presented, the book continues with two 'refreshment' chapters, in which the principles of statistical testing are revised, focusing on the well-known t test. These chapters also deal with the essential, but often neglected concepts of 'statistical power' and 'sample size'. In every chapter examples of SPSS input and output are given.
Diagnostics and Rehabilitation of Parkinson's Disease presents the most current information pertaining to news-making topics relating to this disease, including etiology, early biomarkers for the diagnostics, novel methods to evaluate symptoms, research, multidisciplinary rehabilitation, new applications of brain imaging and invasive methods to the study of Parkinson's disease. Researchers have only recently begun to focus on the non-motor symptoms of Parkinson's disease, which are poorly recognized and inadequately treated by clinicians. The non-motor symptoms of Parkinson's disease have a significant impact on patient quality of life and mortality and include cognitive impairments, autonomic, gastrointestinal, and sensory symptoms. In-depth discussion of the use of imaging tools to study disease mechanisms is also provided, with emphasis on the abnormal network organization in parkinsonism. Deep brain stimulation management is a paradigm-shifting therapy for Parkinson's disease, essential tremor, and dystonia. In the recent years, new approaches of early diagnostics, training programmes and treatments have vastly improved the lives of people with Parkinson's disease, substantially reducing symptoms and significantly delaying disability. Written by leading scientists on movement and neurological disorders, this comprehensive book should appeal to a multidisciplinary audience and help people cope with medical, emotional, and practical challenges.
Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language researchers, like power analysis, quasi F, F1, F2 and minF'. This book offers a thorough introduction to the basic principles of analysis of variance, based on examples taken from language research, and goes beyond the conventional topics treated in introductory textbooks, as it covers topics like 'violations of assumptions', 'missing data', 'problems in repeated measures designs', 'alternatives to analysis of variance' (such as randomization tests and multilevel analysis). Each chapter consists of four sections: treatment of the subject under discussion, a summary of relevant terms and concepts, a section devoted to reporting statistics, and finally an exercise section. After the first introductory chapter, in which fundamental concepts like 'variables', 'cases' and SPSS data formats are presented, the book continues with two 'refreshment' chapters, in which the principles of statistical testing are revised, focusing on the well-known t test. These chapters also deal with the essential, but often neglected concepts of 'statistical power' and 'sample size'. In every chapter examples of SPSS input and output are given.
Human Measurement Techniques in Speech and Language Pathology gives an overview of elicitation methods in the assessment and diagnosis of speech and language disorders and explains approaches to the qualification of the obtained data in terms of agreement and reliability. Despite technological advances in the assessment and diagnosis of speech and language disorders, the role of human judgements is as important as ever. Written to be accessible to students, researchers and practitioners alike, the book not only provides an overview of elicitation procedures of human judgement such as visual analog scaling, Likert scaling etc. but also presents methodological and statistical approaches to quality assessment of judgements. The book introduces statistical procedures for processing scores obtained in paired comparisons and in the context of signal detection theory, and introduces software relevant for the calculation of a large number of coefficients of reliability and agreement. Featuring a wealth of reader-friendly pedagogy throughout, including instructions for using SPSS and R software, clarified by many illustrations and tables, example reports, and exercise questions to test the readers understanding, it is an ideal companion for advanced students and researchers in the field of speech pathology.
The discovery of superconductivity at 30 K by Bednorz and Müller in 1986 ignited an explosion of interest in high temperature superconductivity. The initial development rapidly evolved into an intensive worldwide research effort — which still persists after more than a decade — to understand the phenomenon of cuprate superconductivity, to search for ways to raise the transition temperature and to produce materials which have the potential for technological applications.During the past decade of research on this subject, significant progress has been made on both the fundamental science and technological application fronts. A great deal of experimental data is now available on the cuprates, and various properties have been well characterized using high quality single crystals and thin films. Despite this enormous research effort, however, the underlying mechanisms responsible for superconductivity in the cuprates are still open to question.This book offers an understanding from the phase transition point of view, surveys and identifies thermal and quantum fluctuation effects, identifies material-independent universal properties and provides constraints for the microscopic description of the various phenomena. The text is presented in a format suitable for use in a graduate level course.
Scientific research on tissue regeneration is increasingly becoming the most promising response to a number of disabling pathologies with huge impact on the progressively growing and ageing world population. The biomimicry of scaffolds with the target tissue is now universally considered to be a key requirement to properly instruct cells towards the restoration of physiological functioning. In this respect, the present chapter presents an overview of recent findings on biomimetic materials and devices addressed to bone and osteochondral tissues as well as soft organ regeneration. Particular focus is given to new apatite phases, including the newly discovered superparamagnetic apatite and processes to develop ceramic, polymeric and hybrid regenerative scaffolds.
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