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Informationen zum Autor Domenic V Cicchetti Klappentext The goal of the second edition is to introduce the advance undergraduate or graduate student and more seasoned research scientists in any of the allied health sciences to a wide array of methodological and biostatistical issues, as they occur in the context of both published and ongoing research. Some sixty-four articles published between 1992 and 2002 have been selected from the Journal of Clinical and Experimental Neuropsychology, The Clinical Neuropsychologist, and Child Neuropsychology and reproduced in this volume. While building upon a working knowledge and understanding of the basic univariate data analytic techniques and the research designs to which they apply, the approach to the more complex multivariate techniques is presented primarily at a conceptual and essentially non-mathematical level.While the issue of the complexity of some of the more recent and standard approaches to data analytic strategies, and their important role to specific research designs is important to convey, there remains an even more fundamental issue of whether the results of correctly applied data analytic strategies make any practical or clinical sense, above and beyond their having reached levels of "statistical significance". These critical issues are addressed throughout various commentaries that the editors make at appropriate points in the text.The volume will appeal to advanced undergraduate and graduate students as well as clinical neuropsychologists and research scientists in any of the allied health disciplines. Zusammenfassung The goal of the second edition is to introduce the advance undergraduate or graduate student and more seasoned research scientists in any of the allied health sciences to a wide array of methodological and biostatistical issues, as they occur in the context of both published and ongoing research. Some sixty-four articles published between 1992 and 2002 have been selected from the Journal of Clinical and Experimental Neuropsychology, The Clinical Neuropsychologist, and Child Neuropsychology and reproduced in this volume. While building upon a working knowledge and understanding of the basic univariate data analytic techniques and the research designs to which they apply, the approach to the more complex multivariate techniques is presented primarily at a conceptual and essentially non-mathematical level. While the issue of the complexity of some of the more recent and standard approaches to data analytic strategies, and their important role to specific research designs is important to convey, there remains an even more fundamental issue of whether the results of correctly applied data analytic strategies make any practical or clinical sense, above and beyond their having reached levels of "statistical significance". These critical issues are addressed throughout various commentaries that the editors make at appropriate points in the text. The volume will appeal to advanced undergraduate and graduate students as well as clinical neuropsychologists and research scientists in any of the allied health disciplines. Inhaltsverzeichnis Selected Contents. I. Introduction and Overview. II. Distinguishing between Statistics and Biostatistics. III. Distinguishing between Parametric and Nonparametric Approaches to Data Analysis. IV. Scales of Measurement. V. Reliability. VI. Editors' Commentaries Introducing Selected Articles on Reliability Assessment Published in JCEN, TCN, and CN between 1992 and 2003. D.V. Cicchetti, F. Volkmar, S.S. Sparrow, D. Cohen, J. Fermanian, B.P. Rourke (1992), Assessing the Reliability of Clinical Scales When the Data Have Both Nominal and Ordinal Features: Proposed Guidelines for Neuropsychological Assessments. G.G. Brown, J.E. Del Dotto, J.L. Fisk, H.G. Taylor, N. Breslau (1993), Analyzing Clinical Ratings of Performance on Pediatric Neuropsychological Tests. S.C. Bowden, G. Whe...
