Q Methodology

Author: Bruce McKeown,Dan B. Thomas

Publisher: SAGE Publications

ISBN: 148332284X

Category: Psychology

Page: 120

View: 8070

Direct, well-organized, and easy to follow, Q Methodology, Second Edition, by Bruce McKeown and Dan B. Thomas, reviews the philosophical foundations of subjective communicability (concourse theory), operant subjectivity, and quantum-theoretical aspects of Q as relevant to the social and behavioral sciences. The authors discuss data-gathering techniques (communication concourses, Q samples, and Q sorting), statistical techniques (correlation and factor analysis and the important calculation of factor scores), and strategies for conducting small person-sample research along Q methodological lines.

Q Methodology

Author: Bruce McKeown,Dan Thomas

Publisher: SAGE

ISBN: 9780803927537

Category: Social Science

Page: 83

View: 8316

Q Methodology defines the distinctive set of psychometric and operational principles which, when combined with specialized statistical applications of correlation and factor-analysis techniques, provide researchers with a systematic and rigorously quantitative means for examining human subjectivity. Based on the premise that subjectivity is communicable and advanced from self-reference, the method's central concern is to ensure that self-reference is preserved and not compromised or confused by external investigation. The authors outline the appropriate principles, techniques and procedures which advance this goal, including data gathering, statistics, and small-sample behavioral research.

Doing Q Methodological Research

Theory, Method & Interpretation

Author: Simon Watts,Paul Stenner

Publisher: SAGE

ISBN: 1446290700

Category: Reference

Page: 248

View: 2295

This book is a simple yet thorough introduction to Q methodology, a research technique designed to capture the subjective or first-person viewpoints of its participants. Watts and Stenner outline the key theoretical concepts developed by William Stephenson, the founder of Q methodology, including subjectivity, concourse theory and abduction. They then turn to the practicalities of delivering high quality Q methodological research. Using worked examples throughout, the reader is guided through: • important design issues • the conduct of fieldwork • all the analytic processes of Q methodology, including factor extraction, factor rotation and factor interpretation. Drawing on helpful conceptual introductions to potentially difficult statistical concepts and a step-by-step guide to running Q methodological analyses using dedicated software, this book enables interested readers to design, manage, analyse, interpret and publish their own Q methodological research.

Quantile Regression

Author: Lingxin Hao,Daniel Q. Naiman

Publisher: SAGE

ISBN: 9781412926287

Category: Mathematics

Page: 126

View: 5487

Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines. Key Features: Establishes a natural link between quantile regression and inequality studies in the social sciences Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software popular among social scientists Oriented to empirical research

The Logic of Causal Order

Author: James A. Davis

Publisher: SAGE

ISBN: 9780803925533

Category: Medical

Page: 72

View: 2771

This monograph is not statistical. It looks instead at pre-statistical assumptions about dependent variables and causal order. Professor Davis spells out the logical principles that underlie our ideas of causality and explains how to discover causal direction, irrespective of the statistical technique used. He stresses throughout that knowledge of the "real world" is important and repeatedly challenges the myth that causal problems can be solved by statistical calculations alone.

Monte Carlo Simulation

Author: Christopher Z. Mooney

Publisher: SAGE

ISBN: 9780803959439

Category: Education

Page: 103

View: 955

The author explains the logic behind the method and demonstrates its uses for social and behavioral research in: conducting inference using statistics with only weak mathematical theory; testing null hypotheses under a variety of plausible conditions; assessing the robustness of parametric inference to violations of its assumptions; assessing the quality of inferential methods; and comparing the properties of two or more estimators. In addition, Christopher Z Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and uses several research examples to demonstrate these principles. This volume will enable researchers to execute Monte Carlo Simulation effectively and to interpret the estimated sampling distribution generated from its use.

Factor Analysis

Statistical Methods and Practical Issues

Author: Jae-On Kim,Charles W. Mueller

Publisher: SAGE

ISBN: 9780803911666

Category: Reference

Page: 88

View: 572

Describes various commonly used methods of initial factoring and factor rotation. In addition to a full discussion of exploratory factor analysis, confirmatory factor analysis and various methods of constructing factor scales are also presented.

The SAGE Handbook of Interview Research

The Complexity of the Craft

Author: Jaber F. Gubrium

Publisher: SAGE

ISBN: 1412981646

Category: Psychology

Page: 613

View: 9074

The new edition of this landmark volume emphasizes the dynamic, interactional, and reflexive dimensions of the research interview. Contributors highlight the myriad dimensions of complexity that are emerging as researchers increasingly frame the interview as a communicative opportunity as much as a data-gathering format. The book begins with the history and conceptual transformations of the interview, which is followed by chapters that discuss the main components of interview practice. Taken together, the contributions to The SAGE Handbook of Interview Research: The Complexity of the Craft encourage readers simultaneously to learn the frameworks and technologies of interviewing and to reflect on the epistemological foundations of the interview craft.

Nonparametric Measures of Association

Author: Jean D. Gibbons

Publisher: SAGE

ISBN: 9780803946644

Category: Social Science

Page: 97

View: 8546

When analyzing data, how should the relationship between two or more sets of observations be described, that is, values of two or more variables, when the variables are ordinal and not bivariate normal? Aimed at helping the researcher select the most appropriate measure of association for two or more variables, the author clearly describes such techniques as Spearman's rho, Kendall's tau, Goodman and Kruskals' gamma and Somer's d and carefully explains the calculation procedures as well as the substantive meaning of each measure. In addition, each technique is illustrated by one or more examples from recent social or behavioural science studies. Finally, Gibbons provides information on the strengths and weaknesses of leading statisti

Foundations of Mixed Methods Research

Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences

Author: Charles Teddlie,Abbas Tashakkori

Publisher: SAGE

ISBN: 0761930124

Category: Psychology

Page: 387

View: 7202

Foundations of Mixed Methods Research is the first comprehensive textbook on using mixed methods in the social sciences, written by two leading names in the field. Mixed methodology (combining quantitative and qualitative approaches) has become an increasingly popular way of both researching and teaching methodology across the social sciences, and students across these fields are expected to be proficient in both quantitative and qualitative techniques. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods from research design and data collection through to analysis and conclusions.

Doing Q Methodological Research

Theory, Method & Interpretation

Author: Simon Watts,Paul Stenner

Publisher: SAGE

ISBN: 1446258742

Category: Reference

Page: 248

View: 6294

This book is a simple yet thorough introduction to Q methodology, a research technique designed to capture the subjective or first-person viewpoints of its participants. Watts and Stenner outline the key theoretical concepts developed by William Stephenson, the founder of Q methodology, including subjectivity, concourse theory and abduction. They then turn to the practicalities of delivering high quality Q methodological research. Using worked examples throughout, the reader is guided through: • important design issues • the conduct of fieldwork • all the analytic processes of Q methodology, including factor extraction, factor rotation and factor interpretation. Drawing on helpful conceptual introductions to potentially difficult statistical concepts and a step-by-step guide to running Q methodological analyses using dedicated software, this book enables interested readers to design, manage, analyse, interpret and publish their own Q methodological research.

Set-Theoretic Methods for the Social Sciences

A Guide to Qualitative Comparative Analysis

Author: Carsten Q. Schneider,Claudius Wagemann

Publisher: Cambridge University Press

ISBN: 1139560611

Category: Political Science

Page: N.A

View: 3437

Qualitative Comparative Analysis (QCA) and other set-theoretic methods distinguish themselves from other approaches to the study of social phenomena by using sets and the search for set relations. In virtually all social science fields, statements about social phenomena can be framed in terms of set relations, and using set-theoretic methods to investigate these statements is therefore highly valuable. This book guides readers through the basic principles of set theory and then on to the applied practices of QCA. It provides a thorough understanding of basic and advanced issues in set-theoretic methods together with tricks of the trade, software handling and exercises. Most arguments are introduced using examples from existing research. The use of QCA is increasing rapidly and the application of set-theory is both fruitful and still widely misunderstood in current empirical comparative social research. This book provides the comprehensive guide to these methods for researchers across the social sciences.

Fuzzy-Set Social Science

Author: Charles C. Ragin

Publisher: University of Chicago Press

ISBN: 9780226702773

Category: Mathematics

Page: 352

View: 8131

In this innovative approach to the practice of social scienceÇharles Ragin explores the use of fuzzy sets to bridge the divide between quantitive and qualitative methods. He argues that fuzzy sets allow a far richer dialogue between ideas and evidence in social research than previously possible.

Basic Content Analysis

Author: Robert Philip Weber

Publisher: SAGE

ISBN: 9780803938632

Category: Language Arts & Disciplines

Page: 96

View: 1595

This second edition of Basic Content Analysis is completely updated and offers a concise introduction to content analysis methods from a social science perspective. It includes new computer applications, new studies and an additional chapter on problems and issues that can arise when carrying out content analysis in four major areas: measurement, indication, representation and interpretation.

Quantitative Social Science

An Introduction

Author: Kosuke Imai

Publisher: Princeton University Press

ISBN: 1400885256

Category: Social Science

Page: 432

View: 911

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

The SAGE Handbook of Quantitative Methodology for the Social Sciences

Author: David Kaplan

Publisher: SAGE Publications

ISBN: 1483365875

Category: Social Science

Page: 528

View: 5507

The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Measurement Theory and Applications for the Social Sciences

Author: Deborah L. Bandalos

Publisher: Guilford Publications

ISBN: 1462532136

Category: Business & Economics

Page: 661

View: 8169

Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material.

Unidimensional Scaling

Author: John McIver,Edward G. Carmines

Publisher: SAGE

ISBN: 9780803917361

Category: Mathematics

Page: 96

View: 1985

Provides an introduction to the fundamentals of scaling theory and construction, focusing on a variety of unidimensional scaling models. The authors present an overview and comparative analysis of such techniques as Thurstone scaling, Likert scaling, Guttman scaling, and unfolding theory, with emphasis on their varying conceptions of dimensionality.

Advances in Mixed Methods Research

Theories and Applications

Author: Manfred Max Bergman

Publisher: SAGE

ISBN: 0857024310

Category: Social Science

Page: 200

View: 9585

Advances in Mixed Methods Research provides an essential introduction to the fast-growing field of mixed methods research. Bergman's book examines the current state of mixed-methods research, exploring exciting new ways of conceptualizing and conducting empirical research in the social and health sciences. Contributions from the world's leading experts in qualitative, quantitative, and mixed methods approaches are brought together, clearing the way for a more constructive approach to social research. These contributions cover the main practical and methodological issues and include a number of different visions of what mixed methods research is. The discussion also covers the use of mixed methods in a diverse range of fields, including sociology, education, politics, psychology, computational science and methodology. This book represents an important contribution to the ongoing debate surrounding the use of mixed methods in the social sciences and health research, and presents a convincing argument that the conventional, paradigmatic view of qualitative and quantitative research is outdated and in need of replacement. It will be essential reading for anyone actively engaged in qualitative, quantitative and mixed methods research and for students of social research methods. Manfred Max Bergman is Chair of Methodology and Political Sociology at the University of Basel.