Multivariate Analysis Techniques in Social Science Research

From Problem to Analysis

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Author: J. J. A. Tacq,Professor Jacques Tacq

Publisher: SAGE

ISBN: 9781446237410

Category:

Page: 432

View: 1258

Unlike most statistical texts, this book breathes real life into multivariate analysis. Starting with a range of actual research examples in the social sciences, it demonstrates how to make the most appropriate choice of technique. The examples are drawn from a broad spectrum of disciplines including: sociology, psychology, economics, political science and international comparative research.

Research Methods in the Social Sciences

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Author: Bridget Somekh,Cathy Lewin

Publisher: SAGE

ISBN: 1412933900

Category: Social Science

Page: 376

View: 4592

A companion website is available for this text! "This book provides an excellent balance between theory and practical application in social research. The book works well to develop students' understanding of particular methods of inquiry, embedding them within "real world" settings. I envisage that it will help students to understand the nuances of particular approaches, the complimentarity of certain methods, and the areas of conflict/contention within social research in a way that overcomes the sometimes abstract nature of these discussions" - Dr Jon Tan, School of Education and Professional Training, Leeds Metropolitan University "This book unlocks all of the important areas of social science research in an easily digestible and stimulating style. Both students and supervisors in a range of disciplines will find this an excellent resource" - Fazal Rizvi, Professor in Educational Policy Studies at the University of Illinois at Urbana-Champaign Rather than being written by one or two `generalists', this innovative book is written by a large number of active researchers about their specialisms in methods/methodologies. The book introduces all the key qualitative and quantitative research methodologies and methods and seeks to draw readers into a community of researchers engaged in reflection on the research process. Included are narrative accounts of carrying out a research study that explore the way in which the research design and methods are shaped by the methodology, discussing problematic issues, and reflecting on the way in which knowledge and understanding develop. Aimed at researchers and postgraduate students, it will also be invaluable for students at masters level. Click on the companion website logo above to access additional resources and links to accompany each chapter in the book. "Research Methods in the Social Sciences is a valuable pedagogical tool. It is organized as a dialogue between theory and key concepts, and practice - stories from the field allowing novices and scholars alike to see how critical interpretive research is actually conducted" - Norman K Denzin, University of Illinois

Doing Your Social Science Dissertation

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Author: Judith Burnett

Publisher: SAGE

ISBN: 1446242412

Category: Study Aids

Page: 280

View: 5821

Dissertations can be the most rewarding, and for some the most stressful, part of any undergraduate degree course, providing the opportunity for students to pursue a chosen subject in some depth, developing their expertise. The dissertation offers many challenges to those seeking to do it well and this guide is the perfect book for those seeking to succeed with their dissertation. Judith Burnett helps students to rise to this challenge, making the most of the opportunities which a dissertation offers and overcoming the obstacles to successful completion. This book takes students through the process of doing a dissertation from turning the raw ideas into a research question, designing the research project, choosing appropriate methods, developing a research proposal, planning and executing the project, working with data, writing up, and preparing the work for presentation. Doing A Dissertation in the Social Sciences is an invaluable guide to avoiding the pitfalls and making the most of the opportunities offered by the dissertation. It ought to be compulsory reading for undergraduate students in any social science discipline. SAGE Study Skills are essential study guides for students of all levels. From how to write great essays and succeeding at university, to writing your undergraduate dissertation and doing postgraduate research, SAGE Study Skills help you get the best from your time at university. Visit the SAGE Study Skills website for tips, quizzes and videos on study success!

Quantitative Methods in Social Science Research

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Author: Stephen Gorard

Publisher: A&C Black

ISBN: 1441144765

Category: Education

Page: 272

View: 7963

This clever scheme builds on Gorard's previous book, Quantitative Methods in Educational Research. He has revised the original book in the light of experience and feedback, and has reworked it so that it includes more social science examples. Four chapters are entirely new.

Research Methodology: A Guide for Researchers In Agricultural Science, Social Science and Other Related Fields

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Author: Pradip Kumar Sahu

Publisher: Springer Science & Business Media

ISBN: 8132210204

Category: Technology & Engineering

Page: 432

View: 644

This book is the outcome of more than 20 years of experience of the author in teaching and research field. The wider scope and coverage of the book will help not only the students/ researchers/professionals in the field of agriculture and allied disciplines, but also the researchers and practitioners in other fields. Written in simple and lucid language, the book would appeal to all those who are meant to be benefitted out of it. All efforts have been made to present "RESEARCH", its meaning, intention and usefulness. The book reflects current methodological techniques used in interdisciplinary research, as illustrated with many relevant worked out examples. Designing of research programme, selection of variables, collection of data and their analysis to interpret the data are discussed extensively. Statistical tools are complemented with real-life examples, making the otherwise complicated subject like statistics seem simpler. Attempts have been made to demonstrate how a user can solve the problems using simple computer-oriented programme. Emphasis is placed not only on solving the problems in various fields but also on drawing inferences from the problems. The importance of instruments and computers in research processes and statistical analyses along with their misuse/incorrect use is also discussed to make the user aware about the correct use of specific technique. In all the chapters, theories are combined with examples, and steps are enumerated to follow the correct use of the available packages like MSEXCELL, SPSS, SPAR1, SAS etc. Utmost care has been taken to present varied range of research problems along with their solutions in agriculture and allied fields which would be of immense use to readers.

Applied Meta-Analysis for Social Science Research

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Author: Noel A. Card

Publisher: Guilford Publications

ISBN: 1462525008

Category: Psychology

Page: 377

View: 3219

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. ÿ

Making Sense of Multivariate Data Analysis

An Intuitive Approach

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Author: John Spicer

Publisher: SAGE

ISBN: 9781412904018

Category: Mathematics

Page: 233

View: 8656

′This book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research′ _C. Y. Joanne Peng, Indiana University at Bloomington ′This book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses′ _Jenn-Yun Tein, Arizona State University

Evidence-Based Health Care Management

Multivariate Modeling Approaches

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Author: Thomas T.H. Wan

Publisher: Springer Science & Business Media

ISBN: 9780792374855

Category: Business & Economics

Page: 233

View: 7971

"The primary goals of the book are to present advanced principles of health services management research and to familiarize students with the multivariate analytic methods and procedures now in use in scientific research on health care management. The hope is to help health care managers become better equipped to use causal modeling techniques for problem solving and decision making.".

Institutional Change in a Varieties of Capitalism Context

How to Explain Shifts from Coordinated Market Economies towards Liberal Market Economies in the 1990s - An Empirical Analysis of Cross-Country Data

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Author: Dana Liebmann

Publisher: Rainer Hampp Verlag

ISBN: 3866183283

Category: Business & Economics

Page: 257

View: 2763

Based on the Varieties of Capitalism (VoC) theory the development of economic systems is explored. Studies testing the VoC approach as a whole are rare and they reveal institutional change that contradicts and challenges the theoretically expected developments. During the 1990s, several Coordinated Market Economies (CME) display change towards institutional structures commonly found in Liberal Market Economies (LME). This thesis, relying on data from 16 countries, examines the differences between these changing CMEs and those that still show distinct CME structures at the end of the decade. According to Douglas North's Transaction Cost Theory of Institutional Change the study empirically investigates formal and informal constraints that may be capable of fostering or, respectively, hampering institutional change directed towards LME settings. In a quantitative analysis several formal parameters are considered (political system, property rights structure, juridical elements and economic integration). Moreover, socio-cultural factors are reviewed. It is usually agreed in the institution literature, at least at a theoretical level, that norms and values ought to be taken into account as explanatory factors. Explicit empirical testing can, however, scarcely be found. National differences in values as well as the issue of value change are traced with data provided by the World Values Study.

The Analysis and Interpretation of Multivariate Data for Social Scientists

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Author: J.I. Galbraith,Irini Moustaki,David J. Bartholomew,Fiona Steele

Publisher: CRC Press

ISBN: 9781584882954

Category: Mathematics

Page: 280

View: 6378

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>

Basic Statistics in Multivariate Analysis

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Author: Karen A. Randolph,Laura L. Myers

Publisher: Oxford University Press

ISBN: 0199982147

Category: Social Science

Page: 256

View: 8221

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.

Multivariate Applications in the Social Sciences

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Author: N. Hirschberg,L. G. Humphreys

Publisher: Psychology Press

ISBN: 1317769732

Category: Psychology

Page: 304

View: 6275

First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.

Issues and Methods in Rorschach Research

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Author: John E. Exner, Jr.

Publisher: Routledge

ISBN: 1317843711

Category: Psychology

Page: 338

View: 2132

Any research that involves the use of the Rorschach or focuses on the nature of the Rorschach must be framed in the context of the basic principles that mark any scientific investigation. However, most texts concerning research design or data analysis do not deal directly with many of the unusual issues that confront investigators who use the Rorschach in their research. The nature of the test and test procedures are somewhat different than for most psychological tests, and, often, these special characteristics become critical when research designs are formulated. Similarly, some of the data of the tests are quite different from the customary distributions yielded by other psychological tests. Thus special care must be exercised when considering the variety of tactics that might might be used in analyzing the test data. This text is unique in that it is specific to the Rorschach. Bringing together experts on Rorschach research, this volume presents in-depth treatments of every facet of methodology -- from design to analysis -- as well as more conceptual issues. It is designed to aid investigators in contending effectively with the many difficult challenges that are often encountered in Rorschach research. This work adds to the information already available to the accomplished researcher as well as provide some enlightenment for the Rorschach research novice. It dispels the notion that rote methodology or analyses can be applied routinely to studies involving the Rorschach. And it helps to improve the quality of investigations in which the test is included, and contribute in some way to the improvement of the overall research yield in the Rorschach community.

JMP for Basic Univariate and Multivariate Statistics

Methods for Researchers and Social Scientists, Second Edition

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Author: Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski

Publisher: SAS Institute

ISBN: 1612906036

Category: Computers

Page: 558

View: 6981

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.

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

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Author: Gregory R. Hancock,Ralph O. Mueller

Publisher: Routledge

ISBN: 1135172994

Category: Education

Page: 448

View: 7117

The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

A Research Primer for the Social and Behavioral Sciences

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Author: Miriam Schapiro Grosof,Hyman Sardy

Publisher: Academic Press

ISBN: 1483258017

Category: Social Science

Page: 450

View: 2486

A Research Primer for the Social and Behavioral Sciences provides an introductory but comprehensive overview of the research process that primarily concerns human subjects. This book discusses the methods of acquiring knowledge, importance of a well-chosen problem, review of the literature, and relationship between theory-building and hypothesis-testing. The common sources of invalidity in practice, non-experimental research types, Stevens' classification of scales, and estimation based on probabilistic sampling are also elaborated. This text likewise covers the role of computer in research, techniques for analysis of data, univariate and bivariate statistics, and assumptions underlying analysis of variance. Other topics include the canonical correlation analysis, non-parametric analysis of variance, deterministic problem analysis techniques, and common errors in presentation of findings. This publication is intended for novice investigators in the broad category of social and behavioral sciences.

Analyzing Social Science Data

50 Key Problems in Data Analysis

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Author: Professor David de Vaus

Publisher: SAGE

ISBN: 9781446226100

Category: Social sciences

Page: 402

View: 5136

In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships The book is a "tour de force" in making data analysis manageable and rewarding for today's undergraduate studying research methods. I'm full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students. He has taken a vast array of problems that users of quantitative data analysis procedures are likely to encounter. The selection of issues and problems ... reflects the experience of a true practitioner with a grasp of his field and of the intricacies of the research process. The selection of issues clearly derives also from experience of teaching students how to do research and analyse data....A large number of practitioners will want the book. I was surprised at how much I learned from this. This will be a vital book for the bookshelves of practitioners of the craft of quantitative data analysis' - "Alan Bryman, Professor of Social Research, Loughborough University

Foodinformatics

Applications of Chemical Information to Food Chemistry

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Author: Karina Martinez-Mayorga,José Luis Medina-Franco

Publisher: Springer

ISBN: 3319102265

Category: Technology & Engineering

Page: 251

View: 9352

The explosion in the generation of information parallels the explosion of computational resources. The use of computers to collect, store and manipulate chemical information is at the heart of chemoinformatics. These methodologies, whose main target thus far has been the pharmaceutical field, are general and can be applied to other types of chemical data sets, such as those containing food chemicals. While the use of chemical information methodologies to address food-related challenges is still in its infancy, interest is growing and will continue to do so as the methods prove useful, particularly for providing practical solutions to food industry challenges. Foodinformatics gives an overview of basic concepts, applications, tools and perspectives of the emerging field of foodinformatics. The book is an important addition to the literature and will be of interest of food chemists, nutritionists, informaticians and scientists of related fields. About the Editors Karina Martínez-Mayorga, Instituto de Química, UNAM, Mexico City, México and Torrey Pines Institute for Molecular Studies, Port St. Lucie, FL, USA José Luis Medina-Franco, Instituto de Química, UNAM, México City, México, and Torrey Pines Institute for Molecular Studies, Port St. Lucie, FL, USA

Applied Multivariate Statistics for the Social Sciences

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Author: James Paul Stevens

Publisher: Taylor & Francis

ISBN: 0805859012

Category: Social Science

Page: 651

View: 3177

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.