analysis of pretest posttest designs

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Analysis Of Pretest Posttest Designs

Author : Peter L. Bonate
ISBN : 9781420035926
Genre : Mathematics
File Size : 62. 31 MB
Format : PDF
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How do you analyze pretest-posttest data? Difference scores? Percent change scores? ANOVA? In medical, psychological, sociological, and educational studies, researchers often design experiments in which they collect baseline (pretest) data prior to randomization. However, they often find it difficult to decide which method of statistical analysis is most appropriate to use. Until now, consulting the available literature would prove a long and arduous task, with papers sparsely scattered throughout journals and textbook references few and far between. Analysis of Pretest-Posttest Designs brings welcome relief from this conundrum. This one-stop reference - written specifically for researchers - answers the questions and helps clear the confusion about analyzing pretest-posttest data. Keeping derivations to a minimum and offering real life examples from a range of disciplines, the author gathers and elucidates the concepts and techniques most useful for studies incorporating baseline data. Understand the pros and cons of different methods - ANOVA, ANCOVA, percent change, difference scores, and more Learn to choose the most appropriate statistical test - Numerous Monte Carlo simulations compare the various tests and help you select the one best suited to your data Tackle more difficult analyses - The extensive SAS code included saves you programming time and effort Requiring just a basic background in statistics and experimental design, this book incorporates most, if not all of the reference material that deals with pretest-posttest data. If you use baseline data in your studies, Analysis of Pretest-Posttest Designs will save you time, increase your understanding, and ultimately improve the interpretation and analysis of your data.

Physical Medicine And Rehabilitation

Author : Joel A. DeLisa
ISBN : 0781741300
Genre : Medical
File Size : 45. 67 MB
Format : PDF, ePub
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The gold-standard physical medicine and rehabilitation text is now in its Fourth Edition—with thoroughly updated content and a more clinical focus. More than 150 expert contributors—most of them new to this edition—address the full range of issues in contemporary physical medicine and rehabilitation and present state-of-the-art patient management strategies, emphasizing evidence-based recommendations. This edition has two separate volumes on Physical Medicine and Rehabilitation Medicine. Each volume has sections on principles of evaluation and management, management methods, major problems, and specific disorders. Treatment algorithms and boxed lists of key clinical facts have been added to many chapters.

The Design And Analysis Of Research Studies

Author : Bryan F. J. Manly
ISBN : 0521425808
Genre : Education
File Size : 43. 20 MB
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This book provides graduate students and research workers in the biological, medical and social sciences with the statistical background needed to collect and analyse data in an intelligent and critical manner.

The Educator S Desk Reference Edr

Author : Melvyn N. Freed
ISBN : 1573563595
Genre : Education
File Size : 71. 62 MB
Format : PDF, ePub
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A guide for educators lists reference sources, journals, book publishers, educational research software, and educational organizations.

The Analysis Of Covariance And Alternatives

Author : Bradley Huitema
ISBN : 1118067460
Genre : Mathematics
File Size : 90. 24 MB
Format : PDF
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A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.

Research Design Statistical Analysis

Author : Arnold D. Well
ISBN : 9781135641085
Genre : Psychology
File Size : 22. 21 MB
Format : PDF, Mobi
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This book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect sizes. The goal is to ensure the reader understands the underlying logic and assumptions of the analysis and what it tells them, the limitations of the analysis, and the possible consequences of violating assumptions. The simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for the integration of non-parametric techniques into relevant design chapters, rather than in a single, isolated chapter. This organization allows for the comparison of the pros and cons of alternative procedures within the research context to which they apply. Basic concepts, such as sampling distributions, expected mean squares, design efficiency, and statistical models are emphasized throughout. This approach provides a stronger conceptual foundation in order to help the reader generalize the concepts to new situations they will encounter in their research and to better understand the advice of statistical consultants and the content of articles using statistical methodology. The second edition features a greater emphasis on graphics, confidence intervals, measures of effect size, power analysis, tests of contrasts, elementary probability, correlation, and regression. A Free CD that contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats, is included in the back of the book. An Instructor's Solutions Manual, containing the intermediate steps to all of the text exercises, is available free to adopters.

Multilevel Analysis

Author : J. J. Hox
ISBN : 9780805832181
Genre : Mathematics
File Size : 82. 21 MB
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This volume provides an introduction to multilevel analysis for applied researchers. The book presents two types of multilevel models: the multilevel regression model; and a model for multilevel covariance structures.

Marginal Models

Author : Wicher Bergsma
ISBN : 9780387096100
Genre : Science
File Size : 88. 48 MB
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Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.

Applied Statistics From Bivariate Through Multivariate Techniques

Author : Rebecca M. Warner
ISBN : 9781412991346
Genre : Mathematics
File Size : 61. 5 MB
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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

Rapid Research Methods For Nurses Midwives And Health Professionals

Author : Colin Rees
ISBN : 9781119048411
Genre : Medical
File Size : 81. 22 MB
Format : PDF, ePub, Docs
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Rapid Research Methods for Nurses, Midwives and Health Professionals is designed to help you find and understand the meaning of key research terminology and, more importantly, develop your knowledge of some of the essential ideas and concepts they describe. This A-Z dictionary of terms is a collection of over 200 entries with a definition of each word put in context with additional tips on its use in assignment work. Alphabetically arranged in an accessible, reader-friendly format, this book: Answers a clear demand for a practical, fast and concise introduction to the key ideas, concepts and methods in nursing and healthcare research Provides students with fast and accessible information designed for revision and writing research-based assignments Demystifies a field of study that students often find daunting

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