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.
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.
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