This book describes the exploratory use of data analysis. The importance of searching for patterns in data is stressed through many worked examples. The interpretation of the output from statistical software is also emphasized. This up-to-date text includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models. Part I explains data types and the statistical knowledge required to use the book. Part II explains which methods to use. The final parts cover the analysis of variables in more detail. This outstanding volume will prove useful as a reference for statisticians, and valuable to advanced undergraduates and graduate students in fields such as psychology, sociology, economics, and medicine, or in other areas where quantitative methods are central.

Applied Multivariate Data Analysis

Science & Math

Everitt, Brian S.

Dunn, Graham

Mathematics

Oxford University Press

This book emphasises the exploratory use of data analysis. Worked examples help the reader to identify and describe patterns in data. Part one explains data types and the statistical knowledge required to use this book, part two explains which methods to use and the final section covers analysis of variables in detail. This book is designed to be of interest to social and behavioural undergraduates as well as Msc students, statisticians and librarians.

Hodder Education Publishers

Clinical Biostatistics: An Introduction to Evidence-Based Medicine

Biological Sciences

This book is essential reading for practicing research workers in psychiatry and related disciplines. It is intended for clinical, behavioral or social scientists, as well as applied statisticians with limited experience in the mental health field. It is problem-based rather than technique-based, and encourages thought in the use of statistical techniques, rather than a heavy reliance on formula. Great emphasis is placed on the evaluation of reliability, validity and other characteristics of measuring instruments and the importance of measurement errors and the fallibility of all psychological assessments is discussed. Quantitative methods of disorder and the use and correct analysis of double sampling strategies in the validation of psychiatric screening questionnaires are also examined. The role and importance of measurement in scientific psychiatry is can not be over-stressed and this book is a perfect example of the interplay between the ideas typical of the 'medical model' of disease and those that come from psychometric tradition.

Statistics in Psychiatry (Arnold Applications of Statistics Series)

Health, Fitness & Dieting

Psychology & Counseling

This book is fully updated to include new sections on neural networks, graphical modelling, hierarchical or multilevel modelling, and latent class models. The sections on correspondence analysis and principal components analysis have been expanded. It also offers more exercises for students and an updated review of the available software suited to multivariate analysis. The text avoids irrelevant theoretical statistics and concentrates on enabling the students to understand the concepts behind the data analysis.

Business & Money

Economics

The statistical methods used to evaluate and compare different methods of measurement are a vital common component of all methods of scientific research. This book provides a practically orientated guide to the statistical models used in the evaluation of measurement errors with a wide variety of illustrative examples taken from across the sciences. After introducing basic concepts, such as precision, reproducibility and reliability, a detailed discussion of the sources of variability of measurements and associated variance components models is provided. The central chapters deal with the design and analysis of method comparison studies (concentrating primarily on quantitative measurements) ranging from simple paired comparisons to more complex studies involving three or more methods. This leads on to a review of methods for categorical measures.

Statistical Evaluation of Measurement Errors: Design and Analysis of Reliability Studies

Research

The Author explain the analysis of complex data sets in detail. The up-to-date book includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models.

wiley

Written in response to the need for a biostatistics book which is also motivated by clinical problems. It concentrates on influencing the readers' attitudes towards the use of evidence and the appropriate and valid use of statistical inference in clinical medicine.

Statistical Evaluation of Measurement Errors

615p hardcover, dustjacket with sunned spine, as new, excellent condition, owner`s name stamped on the endpaper

Cell Behaviour: A Tribute to Michael Abercrombie

Bellairs, Ruth

Curtis, Adam

Cambridge University Press

See the best price to sell, buy, or rent books by Dunn, Graham. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Dunn, Graham

See the best price to sell, buy, or rent books by Dunn, Graham. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Applied Multivariate Data Analysis

Applied Multivariate Data Analysis

Clinical Biostatistics: An Introduction to Evidence-Based Medicine

Statistics in Psychiatry (Arnold Applications of Statistics Series)

Applied Multivariate Data Analysis

Statistical Evaluation of Measurement Errors: Design and Analysis of Reliability Studies

Applied Multivariate Data Analysis

Clinical Biostatistics: An Introduction to Evidence-Based Medicine

Statistical Evaluation of Measurement Errors

Cell Behaviour: A Tribute to Michael Abercrombie