Analysis Of Multivariate Social Science Data Second Edition


Analysis Of Multivariate Social Science Data Second Edition
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Analysis Of Multivariate Social Science Data Second Edition


Analysis Of Multivariate Social Science Data Second Edition
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Author : David J. Bartholomew
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2008-06-04

Analysis Of Multivariate Social Science Data Second Edition written by David J. Bartholomew and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-04 with Mathematics categories.


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.



Analysis Of Multivariate Social Science Data


Analysis Of Multivariate Social Science Data
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Author : David J. Bartholomew
language : en
Publisher: CRC Press
Release Date : 2008-06-04

Analysis Of Multivariate Social Science Data written by David J. Bartholomew and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-04 with Mathematics categories.


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



Multivariate Analysis For The Behavioral Sciences Second Edition


Multivariate Analysis For The Behavioral Sciences Second Edition
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Author : Kimmo Vehkalahti
language : en
Publisher: CRC Press
Release Date : 2018-12-19

Multivariate Analysis For The Behavioral Sciences Second Edition written by Kimmo Vehkalahti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Mathematics categories.


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



Applied Multivariate Data Analysis


Applied Multivariate Data Analysis
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Author : Brian S. Everitt
language : en
Publisher: Wiley
Release Date : 2009-04-20

Applied Multivariate Data Analysis written by Brian S. Everitt and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-20 with Mathematics categories.


Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied statistics courses and applied researchers in many disciplines.



Handbook Of Univariate And Multivariate Data Analysis With Ibm Spss Second Edition


Handbook Of Univariate And Multivariate Data Analysis With Ibm Spss Second Edition
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Author : Robert Ho
language : en
Publisher: CRC Press
Release Date : 2013-10-25

Handbook Of Univariate And Multivariate Data Analysis With Ibm Spss Second Edition written by Robert Ho and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-25 with Mathematics categories.


Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second Edition Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation New section on how to deal with missing data Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.



Applied Multivariate Data Analysis


Applied Multivariate Data Analysis
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Author : Brian Everitt
language : en
Publisher: Hodder Arnold
Release Date : 1991

Applied Multivariate Data Analysis written by Brian Everitt and has been published by Hodder Arnold this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Multivariate analysis categories.


After an introduction to data analysis and the statistical knowledge required to use the book, the authors go on to explain the analysis of complex data sets in detail. The up-to-date text includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models.



Theory Based Data Analysis For The Social Sciences


Theory Based Data Analysis For The Social Sciences
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Author : Carol S. Aneshensel
language : en
Publisher: SAGE
Release Date : 2013

Theory Based Data Analysis For The Social Sciences written by Carol S. Aneshensel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Social Science categories.


This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.



A Step By Step Approach To Using Sas For Univariate Multivariate Statistics


A Step By Step Approach To Using Sas For Univariate Multivariate Statistics
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Author : Norm O'Rourke
language : en
Publisher: SAS Institute
Release Date : 2005

A Step By Step Approach To Using Sas For Univariate Multivariate Statistics written by Norm O'Rourke and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


Providing practice data inspired by actual studies, this book explains how to choose the right statistic, understand the assumptions underlying the procedure, prepare an SAS program for an analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association.



Jmp For Basic Univariate And Multivariate Statistics


Jmp For Basic Univariate And Multivariate Statistics
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Author : Ann Lehman
language : en
Publisher: SAS Institute
Release Date : 2013

Jmp For Basic Univariate And Multivariate Statistics written by Ann Lehman and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.


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 Statistics For The Social Sciences


Applied Multivariate Statistics For The Social Sciences
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Author : James Paul Stevens
language : en
Publisher: Lawrence Erlbaum Associates
Release Date : 1992

Applied Multivariate Statistics For The Social Sciences written by James Paul Stevens and has been published by Lawrence Erlbaum Associates this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.


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.