› › A Comparison On Univariate And Multivariate Analysis Strategies For Repeated Measures Designs

Multivariate Analysis of Variance and Repeated Measures

Author : David J. Hand

Publisher : CRC Press

Page : 284 pages

File Size : 36,73 MB

Release : 1987-05-01

Category : Mathematics

ISBN : 9780412258008

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Book Description

This book describes a practical aproach to univariate and multivariate analysis of variance. It starts with a general non-mathematical account of the fundamental theories and this is followed by a discussion of a series of examples using real data sets from the authors' own work in clinical trials, psychology and industry. Included are discussions of factorial and nested designs, structures on the multiple dependent variables measured on each subject, repeated measures analyses, covariates, choice of text statistic and simultaneous test procedures.



Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide

Author : Agency for Health Care Research and Quality (U.S.)

Publisher : Government Printing Office

Page : 236 pages

File Size : 10,85 MB

Release : 2013-02-21

Category : Medical

ISBN : 1587634236

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Book Description

This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)



JMP for Basic Univariate and Multivariate Statistics

Author : Ann Lehman

Publisher : SAS Institute

Page : 559 pages

File Size : 18,2 MB

Release : 2013

Category : Computers

ISBN : 1612906036

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Book Description

Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition. Updated for JMP 10 and including new features on the statistical platforms, this book offers clearly written instructions to guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results clearly in a way that is suitable for publication, perform a wide range of JMP analyses, interpret the results, and more. Topics include screening data for errors selecting subsets computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale performing bivariate analyses for all types of variables performing a one-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) Advanced topics include analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical interpretation. This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.



Applied Multivariate Statistical Analysis (Classic Version)

Author : Richard A. Johnson

Publisher : Pearson

Page : 808 pages

File Size : 27,33 MB

Release : 2018-03-18

Category : Multivariate analysis

ISBN : 9780134995397

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Book Description

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.



Applied Analysis of Variance in Behavioral Science

Author : Lynne Edwards

Publisher : CRC Press

Page : 652 pages

File Size : 28,84 MB

Release : 1993-06-16

Category : Mathematics

ISBN : 9780824788964

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Book Description

A reference devoted to the discussion of analysis of variance (ANOVA) techniques. It presents ANOVA as a research design, a collection of statistical models, an analysis model, and an arithmetic summary of data. Discussion focuses primarily on univariate data, but multivariate generalizations are to





Univariate and Multivariate General Linear Models

Author : Kevin Kim

Publisher : CRC Press

Page : 568 pages

File Size : 38,25 MB

Release : 2006-10-11

Category : Mathematics

ISBN : 1420011367

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Book Description

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral



Applied Statistics II

Author : Rebecca M. Warner

Publisher : SAGE Publications

Page : 713 pages

File Size : 41,18 MB

Release : 2020-01-14

Category : Psychology

ISBN : 1506352847

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Book Description

Rebecca M. Warner's bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. This new multivariate statistics text, Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is based on chapters from the second half of original book, but with much additional material. This text now provides a distinctive bridge between earlier courses and advanced topics through extensive discussion of statistical control (adding a third variable), a new chapter on the "new statistics", a new chapter on outliers and missing values, and a final chapter that provides an introduction to structural equation modeling. This text provides a solid introduction to concepts such as statistical control, mediation, moderation, and path modeling necessary to students taking intermediate and advanced statistics courses across the social sciences. Examples are provided in SPSS with datasets available on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.



Life-Span Developmental Psychology

Author : Stanley H. Cohen

Publisher : Psychology Press

Page : 207 pages

File Size : 10,50 MB

Release : 2019-10-25

Category : Psychology

ISBN : 1317739337

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Book Description

Dealing with the methodological and data analytic problems in developmental research, this book presents solutions advanced from the disciplinary perspectives of psychology, behavior analysis and behavioral systems, sociology, and anthropology. Topics addressed include: * the metatheoretical issues about the relationship between data and theory * the identification and analysis of age, cohort, and time-of-measurement effects * the assessment of quantitative and qualitative change * the use of group and single-subject designs for control by systematic variation * the use of systems methodology to investigate the developmental continuity and organization of behavior * the analysis of data from repeated measures designs * the use of structural equations and path analysis to test causal hypotheses * the use of structured relational matrices to study development and change This unique volume offers students an unusually wide range of research tools for identifying and studying specific developmental problems.



Applied Statistics: From Bivariate Through Multivariate Techniques

Author : Rebecca M. Warner

Publisher : SAGE

Page : 1209 pages

File Size : 34,78 MB

Release : 2013

Category : Mathematics

ISBN : 141299134X

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Book Description

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.