Multivariable Modeling And Multivariate Analysis For The Behavioral Sciences PDF Download
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Author | : Brian S. Everitt |
Publisher | : CRC Press |
Total Pages | : 324 |
Release | : 2009-09-28 |
Genre | : Business & Economics |
ISBN | : 1439807701 |
Download Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences Book in PDF, ePub and Kindle
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring
Author | : Kimmo Vehkalahti |
Publisher | : CRC Press |
Total Pages | : 415 |
Release | : 2018-12-19 |
Genre | : Mathematics |
ISBN | : 135120226X |
Download Multivariate Analysis for the Behavioral Sciences, Second Edition Book in PDF, ePub and Kindle
Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all datasets and R code for the examples and exercises Theoretical details are separated from the main body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics
Author | : William W. Cooley |
Publisher | : |
Total Pages | : 280 |
Release | : 1962 |
Genre | : Computer programming |
ISBN | : |
Download Multivariate Procedures for the Behavioral Sciences Book in PDF, ePub and Kindle
Author | : David J. Bartholomew |
Publisher | : CRC Press |
Total Pages | : 376 |
Release | : 2008-06-04 |
Genre | : Mathematics |
ISBN | : 1584889616 |
Download Analysis of Multivariate Social Science Data Book in PDF, ePub and Kindle
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
Author | : Lynne Edwards |
Publisher | : CRC Press |
Total Pages | : 652 |
Release | : 1993-06-16 |
Genre | : Mathematics |
ISBN | : 9780824788964 |
Download Applied Analysis of Variance in Behavioral Science Book in PDF, ePub and Kindle
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
Author | : Clifford E. Lunneborg |
Publisher | : North Holland |
Total Pages | : 522 |
Release | : 1983-01-01 |
Genre | : Multivariate analysis |
ISBN | : 9780444007537 |
Download Elementary Multivariate Analysis for the Behavioral Sciences Book in PDF, ePub and Kindle
Author | : Sadanori Konishi |
Publisher | : CRC Press |
Total Pages | : 340 |
Release | : 2014-06-06 |
Genre | : Mathematics |
ISBN | : 1466567287 |
Download Introduction to Multivariate Analysis Book in PDF, ePub and Kindle
Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification and discrimination, dimension reduction, and clustering. The text thoroughly explains the concepts and derivations of the AIC, BIC, and related criteria and includes a wide range of practical examples of model selection and evaluation criteria. To estimate and evaluate models with a large number of predictor variables, the author presents regularization methods, including the L1 norm regularization that gives simultaneous model estimation and variable selection. For advanced undergraduate and graduate students in statistical science, this text provides a systematic description of both traditional and newer techniques in multivariate analysis and machine learning. It also introduces linear and nonlinear statistical modeling for researchers and practitioners in industrial and systems engineering, information science, life science, and other areas.
Author | : Bruce L. Brown |
Publisher | : John Wiley & Sons |
Total Pages | : 404 |
Release | : 2011-11-01 |
Genre | : Mathematics |
ISBN | : 1118131614 |
Download Multivariate Analysis for the Biobehavioral and Social Sciences Book in PDF, ePub and Kindle
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.
Author | : David J. Bartholomew |
Publisher | : Chapman and Hall/CRC |
Total Pages | : 384 |
Release | : 2008-06-04 |
Genre | : Mathematics |
ISBN | : 9781584889601 |
Download Analysis of Multivariate Social Science Data, Second Edition Book in PDF, ePub and Kindle
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, confirmatory factor analysis, structural equation models, and multilevel models. After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signaling the move from descriptive to inferential methods and from interdependence to dependence. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data. Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research. Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions.
Author | : Francesco Bartolucci |
Publisher | : CRC Press |
Total Pages | : 253 |
Release | : 2012-10-29 |
Genre | : Mathematics |
ISBN | : 1466583711 |
Download Latent Markov Models for Longitudinal Data Book in PDF, ePub and Kindle
Drawing on the authors' extensive research in the analysis of categorical longitudinal data, this book focuses on the formulation of latent Markov models and the practical use of these models. It demonstrates how to use the models in three types of analysis, with numerous examples illustrating how latent Markov models are used in economics, education, sociology, and other fields. The R and MATLAB routines used for the examples are available on the authors' website.