Multivariate analysis

Using Multivariate Statistics

Author: Barbara G. Tabachnick,Linda S. Fidell,Jodie B. Ullman

Publisher: N.A

ISBN: 9780134790541

Category: Multivariate analysis

Page: 1024

View: 2498

For advanced undergraduate and graduate courses in Social Statistics. An in-depth introduction to today's most commonly used statistical and multivariate techniques Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors focus on the benefits and limitations of applying a technique to a data set - when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output. 0134790545 / 9780134790541 Using Multivariate Statistics, 7/e
Multivariate analysis

Using Multivariate Statistics

Author: Barbara G. Tabachnick,Linda S. Fidell

Publisher: N.A

ISBN: 9781292021317

Category: Multivariate analysis

Page: 1060

View: 8766

A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
Social Science

Using Multivariate Statistics: Pearson New International Edition

Author: Barbara G. Tabachnick,Linda S. Fidell

Publisher: Pearson Higher Ed

ISBN: 1292034548

Category: Social Science

Page: 1072

View: 8795

A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text’s practical approach focuses on the benefits and limitations of applications of a technique to a data set – when, why, and how to do it. Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS syntax and output
Education

Using Multivariate Statistics

Statistics, Statistics

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1478435941

Category: Education

Page: 197

View: 5871

Facts101 is your complete guide to Using Multivariate Statistics. In this book, you will learn topics such as Review of Univariate and Bivariate Statistics, Screening Date Priod to Analysis, Multiple Regression, and Analysis of Covariance plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Science

Applied Morphometry and Watershed Management Using RS, GIS and Multivariate Statistics(Case Studies)

Author: Yahya Farhan

Publisher: Scientific Research Publishing, Inc. USA

ISBN: 1618964100

Category: Science

Page: 488

View: 1305

“Applied Morphometry and Watershed Management” book is designed to introduce the recent developments related to applied morphometric studies of drainage basins. Applications of drainage basin morphometric analysis cover several topics of research such as: 1) Prioritization of sub-watersheds for soil and water conservation; 2) Surface water harvesting; 3) Assessment of groundwater potential and predicting of groundwater movement; 4) Geo-hazard assessment (i.e., soil erosion and sediment yield modeling, landslide susceptibility mapping; flashflood hazard and flood management; 5) The impact of Quaternary tectonics on structure and drainage network distortions.
Social Science

Using R With Multivariate Statistics

Author: Randall E. Schumacker

Publisher: SAGE Publications

ISBN: 1483377970

Category: Social Science

Page: 408

View: 4808

Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.
Mathematics

Applied Statistics: From Bivariate Through Multivariate Techniques

From Bivariate Through Multivariate Techniques

Author: Rebecca M. Warner

Publisher: SAGE

ISBN: 141299134X

Category: Mathematics

Page: 1172

View: 3401

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.
Technology & Engineering

Multivariate Statistical Process Control

Process Monitoring Methods and Applications

Author: Zhiqiang Ge,Zhihuan Song

Publisher: Springer Science & Business Media

ISBN: 1447145135

Category: Technology & Engineering

Page: 194

View: 6913

Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for complex process monitoring. These new methods are demonstrated in several case studies from the chemical, biological, and semiconductor industrial areas. Control and process engineers, and academic researchers in the process monitoring, process control and fault detection and isolation (FDI) disciplines will be interested in this book. It can also be used to provide supplementary material and industrial insight for graduate and advanced undergraduate students, and graduate engineers. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Education

Applied Multivariate Statistics for the Social Sciences, Fifth Edition

Author: James P. Stevens

Publisher: Routledge

ISBN: 1136910697

Category: Education

Page: 664

View: 5487

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.
Computers

Multivariate Statistical Quality Control Using R

Author: Edgar Santos-Fernández

Publisher: Springer Science & Business Media

ISBN: 1461454522

Category: Computers

Page: 127

View: 5052

​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.
Social Science

Basic Statistics in Multivariate Analysis

Author: Karen A. Randolph,Laura L. Myers

Publisher: Oxford University Press

ISBN: 0199982147

Category: Social Science

Page: 256

View: 9519

The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.
Psychology

Multivariate Datenanalyse

Eine kompakte Einführung

Author: Dirk Wentura,Markus Pospeschill

Publisher: Springer-Verlag

ISBN: 353193435X

Category: Psychology

Page: 232

View: 4587

Was sind Multivariate Verfahren? Wozu dienen sie, wie werden sie richtig eingesetzt? Das Buch liefert einen fundierten Überblick über diese wichtige Klasse von Verfahren, die in der Psychologie und den Sozialwissenschaften zunehmend an Bedeutung gewinnt. So werden einerseits die vielfältigen Möglichkeiten dieser Methoden aufgezeigt, aber auch auf Grenzen und Schwächen hingewiesen. Zahlreiche Beispiele und eine verständliche Sprache tragen zur Lebendigkeit dieser zu keinem Zeitpunkt langweiligen Einführung bei.
Medical

Nursing Research

Generating and Assessing Evidence for Nursing Practice

Author: Denise F. Polit,Cheryl Tatano Beck

Publisher: Lippincott Williams & Wilkins

ISBN: 9780781794688

Category: Medical

Page: 796

View: 1502

Thoroughly updated and revised to emphasize the link between research and evidence-based practice, this Eighth Edition of a classic textbook presents state-of-the-art methods for conducting high-quality studies. New chapters offer guidance on developing self-report scales, conducting systematic reviews, and enhancing the integrity of qualitative studies. The ancillary Resource Manual includes application exercises, models of comprehensive research critiques, a full NINR grant application, and a "must-have" Toolkit on a CD-ROM, containing a treasure-trove of exemplary research tools (e.g., consent forms, a demographic questionnaire, statistical table templates)--all in easily-adapted Word documents to meet individual research needs. A watershed edition! Student Resource Manual with Toolkit, ISBN: 978-0-7817-7052-1.
Psychology

Applied Meta-Analysis for Social Science Research

Author: Noel A. Card

Publisher: Guilford Press

ISBN: 1609185013

Category: Psychology

Page: 377

View: 2630

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.