Introduction To Multivariate Analysis For The Social Sciences

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Multivariate Analysis for the Biobehavioral and Social Sciences

Author : Bruce L. Brown
Publisher : John Wiley & Sons
ISBN 13 : 1118131614
Total Pages : 404 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Multivariate Analysis for the Biobehavioral and Social Sciences by : Bruce L. Brown

Download or read book Multivariate Analysis for the Biobehavioral and Social Sciences written by Bruce L. Brown and published by John Wiley & Sons. This book was released on 2011-11-01 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.

Introduction to Multivariate Analysis for the Social Sciences

Author : Johannes Petrus van de Geer
Publisher :
ISBN 13 :
Total Pages : 293 pages
Book Rating : 4.:/5 (877 download)

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Book Synopsis Introduction to Multivariate Analysis for the Social Sciences by : Johannes Petrus van de Geer

Download or read book Introduction to Multivariate Analysis for the Social Sciences written by Johannes Petrus van de Geer and published by . This book was released on 1987 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Multivariate Statistics for the Social Sciences

Author : Keenan A. Pituch
Publisher : Routledge
ISBN 13 : 1317805925
Total Pages : 814 pages
Book Rating : 4.3/5 (178 download)

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Book Synopsis Applied Multivariate Statistics for the Social Sciences by : Keenan A. Pituch

Download or read book Applied Multivariate Statistics for the Social Sciences written by Keenan A. Pituch and published by Routledge. This book was released on 2015-12-07 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises) Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Introduction to Multivariate Analysis for the Social Sciences

Author : Johannes Petrus van de Geer
Publisher :
ISBN 13 : 9780608309606
Total Pages : 304 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Introduction to Multivariate Analysis for the Social Sciences by : Johannes Petrus van de Geer

Download or read book Introduction to Multivariate Analysis for the Social Sciences written by Johannes Petrus van de Geer and published by . This book was released on 1987 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Analysis Techniques in Social Science Research

Author : Jacques Tacq
Publisher : SAGE
ISBN 13 : 9780761952732
Total Pages : 430 pages
Book Rating : 4.9/5 (527 download)

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Book Synopsis Multivariate Analysis Techniques in Social Science Research by : Jacques Tacq

Download or read book Multivariate Analysis Techniques in Social Science Research written by Jacques Tacq and published by SAGE. This book was released on 1997-02-12 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tacq demonstrates how a researcher comes to the appropriate choice of a technique for multivariate analysis. He examines a wide selection of topics from a range of disciplines including sociology, psychology, economics, and political science.

An Introduction to Applied Multivariate Analysis

Author : Tenko Raykov
Publisher : Routledge
ISBN 13 : 113667599X
Total Pages : 496 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis An Introduction to Applied Multivariate Analysis by : Tenko Raykov

Download or read book An Introduction to Applied Multivariate Analysis written by Tenko Raykov and published by Routledge. This book was released on 2008-03-10 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe

Making Sense of Multivariate Data Analysis

Author : John Spicer
Publisher : SAGE
ISBN 13 : 9781412904018
Total Pages : 256 pages
Book Rating : 4.9/5 (4 download)

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Book Synopsis Making Sense of Multivariate Data Analysis by : John Spicer

Download or read book Making Sense of Multivariate Data Analysis written by John Spicer and published by SAGE. This book was released on 2005 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.

Analysis of Multivariate Social Science Data

Author : David J. Bartholomew
Publisher : CRC Press
ISBN 13 : 1584889616
Total Pages : 376 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Analysis of Multivariate Social Science Data by : David J. Bartholomew

Download or read book Analysis of Multivariate Social Science Data written by David J. Bartholomew and published by CRC Press. This book was released on 2008-06-04 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, con

Applied Multivariate Statistics for the Social Sciences

Author : James Paul Stevens
Publisher : Lawrence Erlbaum Associates
ISBN 13 :
Total Pages : 656 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Applied Multivariate Statistics for the Social Sciences by : James Paul Stevens

Download or read book Applied Multivariate Statistics for the Social Sciences written by James Paul Stevens and published by Lawrence Erlbaum Associates. This book was released on 1992 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written for those who will be using, rather than developing, advanced statistical methods. It focuses on a conceptual understanding of the material rather than proving results. It is a graduate level textbook with abundant examples.

An Introduction to Multivariate Techniques for Social and Behavioural Sciences

Author : Spencer Bennett
Publisher : Palgrave Macmillan
ISBN 13 : 9781349156368
Total Pages : 0 pages
Book Rating : 4.1/5 (563 download)

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Book Synopsis An Introduction to Multivariate Techniques for Social and Behavioural Sciences by : Spencer Bennett

Download or read book An Introduction to Multivariate Techniques for Social and Behavioural Sciences written by Spencer Bennett and published by Palgrave Macmillan. This book was released on 1976-01-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantitative Social Science

Author : Kosuke Imai
Publisher : Princeton University Press
ISBN 13 : 0691191093
Total Pages : 464 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Quantitative Social Science by : Kosuke Imai

Download or read book Quantitative Social Science written by Kosuke Imai and published by Princeton University Press. This book was released on 2021-03-16 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

An Introduction to Applied Multivariate Analysis with R

Author : Brian Everitt
Publisher : Springer Science & Business Media
ISBN 13 : 1441996508
Total Pages : 284 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis An Introduction to Applied Multivariate Analysis with R by : Brian Everitt

Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt and published by Springer Science & Business Media. This book was released on 2011-04-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Practical Multivariate Analysis

Author : Abdelmonem Afifi
Publisher : CRC Press
ISBN 13 : 1351788906
Total Pages : 528 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Practical Multivariate Analysis by : Abdelmonem Afifi

Download or read book Practical Multivariate Analysis written by Abdelmonem Afifi and published by CRC Press. This book was released on 2019-10-16 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.

Applied Multivariate Research

Author : Lawrence S. Meyers
Publisher : SAGE Publications
ISBN 13 : 1506329780
Total Pages : 938 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Applied Multivariate Research by : Lawrence S. Meyers

Download or read book Applied Multivariate Research written by Lawrence S. Meyers and published by SAGE Publications. This book was released on 2016-10-28 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

Applied Multivariate Statistics for the Social Sciences

Author : James Stevens
Publisher :
ISBN 13 : 9780805834710
Total Pages : 0 pages
Book Rating : 4.8/5 (347 download)

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Book Synopsis Applied Multivariate Statistics for the Social Sciences by : James Stevens

Download or read book Applied Multivariate Statistics for the Social Sciences written by James Stevens and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written for those who will be using, rather than developing, advanced statistical methods. It focuses on a conceptual understanding of the material rather than proving results. It is a graduate level textbook with abundant examples.

Adventures in Social Research

Author : Earl R. Babbie
Publisher : Pine Forge Press
ISBN 13 : 1412982448
Total Pages : 457 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Adventures in Social Research by : Earl R. Babbie

Download or read book Adventures in Social Research written by Earl R. Babbie and published by Pine Forge Press. This book was released on 2011 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Click on the Supplements tab above for further details on the different versions of SPSS programs.

The Analysis and Interpretation of Multivariate Data for Social Scientists

Author : J.I. Galbraith
Publisher : CRC Press
ISBN 13 : 9781584882954
Total Pages : 290 pages
Book Rating : 4.8/5 (829 download)

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Book Synopsis The Analysis and Interpretation of Multivariate Data for Social Scientists by : J.I. Galbraith

Download or read book The Analysis and Interpretation of Multivariate Data for Social Scientists written by J.I. Galbraith and published by CRC Press. This book was released on 2002-02-26 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>