The Analysis And Interpretation Of Multivariate Data For Social Scientists

Author : J.I. Galbraith,Irini Moustaki,David J. Bartholomew,Fiona Steele
Publisher : CRC Press
Page : 290 pages
File Size : 52,7 Mb
Release : 2002-02-26
Category : Mathematics
ISBN : 1584882956

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The Analysis and Interpretation of Multivariate Data for Social Scientists by J.I. Galbraith,Irini Moustaki,David J. Bartholomew,Fiona Steele Pdf

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>

Author : David J. Bartholomew,Fiona Steele,Jane Galbraith,Irini Moustaki
Publisher : CRC Press
Page : 376 pages
File Size : 55,6 Mb
Release : 2008-06-04
Category : Mathematics
ISBN : 9781584889618

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Analysis of Multivariate Social Science Data by David J. Bartholomew,Fiona Steele,Jane Galbraith,Irini Moustaki Pdf

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 : William Berry
Publisher : Routledge
Page : 113 pages
File Size : 43,8 Mb
Release : 2018-05-04
Category : Social Science
ISBN : 9780429982996

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Understanding Multivariate Research by William Berry Pdf

Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's Understanding Multivariate Research fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work.

Author : John Spicer
Publisher : SAGE
Page : 256 pages
File Size : 50,6 Mb
Release : 2005
Category : Mathematics
ISBN : 1412904013

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Making Sense of Multivariate Data Analysis by John Spicer Pdf

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.

Author : David J. Bartholomew,Fiona Steele,Jane Galbraith,Irini Moustaki
Publisher : Chapman and Hall/CRC
Page : 384 pages
File Size : 41,7 Mb
Release : 2008-06-04
Category : Mathematics
ISBN : 1584889608

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Analysis of Multivariate Social Science Data, Second Edition by David J. Bartholomew,Fiona Steele,Jane Galbraith,Irini Moustaki Pdf

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 : James P. Stevens
Publisher : Routledge
Page : 666 pages
File Size : 50,6 Mb
Release : 2012-11-12
Category : Education
ISBN : 9781136910692

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Applied Multivariate Statistics for the Social Sciences, Fifth Edition by James P. Stevens Pdf

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.

Author : Carol S. Aneshensel
Publisher : SAGE
Page : 473 pages
File Size : 52,7 Mb
Release : 2013
Category : Social Science
ISBN : 9781412994354

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Theory-Based Data Analysis for the Social Sciences by Carol S. Aneshensel Pdf

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.

Author : Robert Ho
Publisher : CRC Press
Page : 426 pages
File Size : 42,8 Mb
Release : 2006-03-24
Category : Mathematics
ISBN : 9781420011111

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Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS by Robert Ho Pdf

Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of s

Author : James Paul Stevens,James Stevens
Publisher : Lawrence Erlbaum Associates
Page : 656 pages
File Size : 47,5 Mb
Release : 1992
Category : Mathematics
ISBN : STANFORD:36105000134374

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Applied Multivariate Statistics for the Social Sciences by James Paul Stevens,James Stevens Pdf

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.

Author : Graeme D Hutcheson,Nick Sofroniou
Publisher : SAGE
Page : 289 pages
File Size : 46,5 Mb
Release : 1999-05-19
Category : Social Science
ISBN : 9780857021908

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The Multivariate Social Scientist by Graeme D Hutcheson,Nick Sofroniou Pdf

Starting from simple hypothesis testing and then moving towards model-building, this valuable book takes readers through the basics of multivariate analysis including: which tests to use on which data; how to run analyses in SPSS for Windows and GLIM4; how to interpret results; and how to report and present the reports appropriately. Using a unified conceptual framework (based around the Generalized Linear Model) the authors explain the commonalities and relationships between methods that include both the analysis of categorical and continuous data.

Author : R . Mark Sirkin
Publisher : SAGE Publications
Page : 632 pages
File Size : 42,8 Mb
Release : 2005-08-17
Category : Social Science
ISBN : 9781506318868

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Statistics for the Social Sciences by R . Mark Sirkin Pdf

Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Author : Keenan A. Pituch,James P. Stevens
Publisher : Routledge
Page : 814 pages
File Size : 55,8 Mb
Release : 2015-12-07
Category : Psychology
ISBN : 9781317805922

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Applied Multivariate Statistics for the Social Sciences by Keenan A. Pituch,James P. Stevens Pdf

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.

Author : David Rose,Oriel Sullivan
Publisher : Unknown
Page : 267 pages
File Size : 44,9 Mb
Release : 1996
Category : Social Science
ISBN : 0335196179

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Introducing Data Analysis for Social Scientists by David Rose,Oriel Sullivan Pdf

The revised and updated edition of this highly successful text is designed for social science students taking their first course in quantitative data analysis. It requires no previous knowledge of statistics or computer use, nor any mathematics beyond an elementary level. The principles of analysing data in simple stages are clearly explained, and it provides an introduction to using computers and SPSS, the most widely used statistical package in the social sciences. This second edition includes both WINDOWS and PC+ versions of SPSS, as well as a glossary of statistical terms. The emphasis throughout is on understanding the underlying principles and on illustrating these with simple but realistic examples that stress both the role of theory in social research and the logic of data analysis. The first four parts of the text give students a firm grasp of the logic and language of social research; preparation of data and basic ideas in computing; descriptive statistics for both single variables and bivariate analyses; and inferential statistics. The final part introduces some of the most useful multivariate techniques and discusses the problems and potential of longitudinal studies. Exercises and examples from the British Class Survey and the British Household Panel Study complete the text, and key subsets of the illustrative data is provided on a free floppy disk inside the volume. The complete package is an invaluable beginner's guide for students in sociology, geography, political science, social policy, social psychology, management and related disciplines.

Author : Alan Bryman,Duncan Cramer
Publisher : Unknown
Page : 290 pages
File Size : 43,6 Mb
Release : 1990
Category : Electronic
ISBN : OCLC:472810710

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Quantitative Data Analysis for Social Scientists by Alan Bryman,Duncan Cramer Pdf

Author : James Stevens
Publisher : Psychology Press
Page : 699 pages
File Size : 55,6 Mb
Release : 2002
Category : Mathematics
ISBN : 0805837779

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Applied Multivariate Statistics for the Social Sciences by James Stevens Pdf

CD-ROM contains: Data sets.