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Analysis Of Pretest Posttest Designs

Author: Peter L. Bonate
Publisher: CRC Press
ISBN: 1420035924
Size: 60.69 MB
Format: PDF, ePub
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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.

Analysis Of Pretest Posttest Designs

Author: Peter L. Bonate
Publisher: Chapman and Hall/CRC
ISBN: 9781584881735
Size: 75.44 MB
Format: PDF, ePub, Mobi
View: 6086
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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.

Encyclopedia Of Research Design

Author: Neil J. Salkind
Publisher: SAGE
ISBN: 1412961270
Size: 11.57 MB
Format: PDF, Mobi
View: 4646
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"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.

The Analysis Of Covariance And Alternatives

Author: Bradley Huitema
Publisher: John Wiley & Sons
ISBN: 9781118067468
Size: 28.53 MB
Format: PDF, Mobi
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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.

Physical Medicine And Rehabilitation

Author: Joel A. DeLisa
Publisher: Lippincott Williams & Wilkins
ISBN: 9780781741309
Size: 42.72 MB
Format: PDF, ePub, Docs
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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
Publisher: Cambridge University Press
ISBN: 9780521425803
Size: 42.71 MB
Format: PDF
View: 5898
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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.

How To Use Spss

Author: Brian C. Cronk
Publisher: Routledge
ISBN: 1351390007
Size: 14.56 MB
Format: PDF, ePub
View: 748
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How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management

The Educator S Desk Reference Edr

Author: Melvyn N. Freed
Publisher: Greenwood Publishing Group
ISBN: 9781573563598
Size: 59.83 MB
Format: PDF, ePub
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A guide for educators lists reference sources, journals, book publishers, educational research software, and educational organizations.

Quasi Experimental Research Designs

Author: Bruce A. Thyer
Publisher: Oxford University Press
ISBN: 0195387384
Size: 17.98 MB
Format: PDF, ePub
View: 6854
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This pocket guide describes the logic, design, and conduct of the range of such designs, encompassing pre-experiments, quasi-experiments making use of a control or comparison group, and time-series designs. While it can be utilized as a manual, this book is also valuable for practitioners seeking a greater conceptual understanding of quasi-experimental studies in social work literature. Human service professionals planning to undertake a program evaluation of their agency's services will find this book helpful in understanding the steps and actions needed to adopt a quasi-experimental strategy.