Q Methodology

Author: Bruce McKeown,Dan Thomas

Publisher: SAGE

ISBN: 9780803927537

Category: Social Science

Page: 83

View: 9213

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.

The SAGE Handbook of Interview Research

The Complexity of the Craft

Author: Jaber F. Gubrium

Publisher: SAGE

ISBN: 1412981646

Category: Psychology

Page: 613

View: 5505

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.

The Handbook of Social Research Ethics

Author: Donna M. Mertens,Pauline E. Ginsberg

Publisher: SAGE Publications

ISBN: 1483343464

Category: Social Science

Page: 688

View: 4799

The Handbook of Social Research Ethics is the first comprehensive volume of its kind to offer a deeper understanding of the history, theory, philosophy, and implementation of applied social research ethics. Editors Donna M. Mertens and Pauline Ginsberg bring together eminent, international scholars across the social and behavioral sciences and education to address the ethical issues that arise in the theory and practice of research within the technologically advancing and culturally complex world in which we live. In addition, this volume examines the ethical dilemmas that arise in the relationship between research practice and social justice issues. Key Features Situates the ethical concerns in the practice of social science research in historical and epistemological contexts Explores the philosophical roots of ethics from the perspectives of Kant, J.S. Mill, Hegel, and others Provides an overview and comparison of ethical regulations across disciplines, governments, and additional contexts such as IRBs, program evaluation, and more Examines specific ethical issues that arise in traditional methods and methodologies Addresses ethical concerns within a variety of diverse, cultural contexts Intended Audience This reference is an invaluable resource for university faculty, researchers, ethicists, IRB members, social science practitioners, graduate students, and program evaluators throughout the social and behavioral sciences.

Advances in Classification Research

Proceedings of the 5th ASIS SIG/CR Classification Research Workshop : Held at the 57th ASIS Annual Meeting, Alexandria, Virginia

Author: Raya Fidel,Barbara H. Kwasnik,Philip J. Smith

Publisher: Information Today Incorporated

ISBN: N.A

Category: Reference

Page: 296

View: 2473


The SAGE Encyclopedia of Social Science Research Methods

Author: Michael Lewis-Beck,Alan E Bryman,Tim Futing Liao

Publisher: SAGE Publications

ISBN: 1452261458

Category: Social Science

Page: 1528

View: 8618

"This defining work will be valuable to readers and researchers in social sciences and humanities at all academic levels. As a teaching resource it will be useful to instructors and students alike and will become a standard reference source. Essential for general and academic collections." --CHOICE This Encyclopedia provides readers with authoritative essays on virtually all social science methods topics, quantitative and qualitative, by an international collection of experts. Organized alphabetically, the Encyclopedia of Social Science Research Methods covers research terms ranging from different methodological approaches to epistemological issues and specific statistical techniques. Written to be accessible to general readers, the Encyclopedia entries do not require advanced knowledge of mathematics or statistics to understand the purposes or basic principles of any of the methods. To accomplish this goal, there are two major types of entries: definitions consisting of a paragraph or two to provide a quick explanation of a methodological term; and topical treatments or essays that discuss the nature, history, applications, and implications of using a certain method, including suggested readings and references. Readers are directed to related topics via cross-referenced terms that appear in small capital letters. By assembling entries of varied origins and serving different research purposes, readers will be able to benefit from this immense source of methodological expertise in advancing their understanding of research. With three volumes and more than 900 signed entries, the Encyclopedia of Social Science Research Methods will be a critical addition to any social science library.

Assessing Inequality

Author: Lingxin Hao,Daniel Q. Naiman

Publisher: SAGE Publications

ISBN: 1483342638

Category: Social Science

Page: 160

View: 3888

Providing basic foundations for measuring inequality from the perspective of distributional properties This monograpg reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each measure and discusses their interconnections. It also introduces model-based decomposition of inequality over time using quantile regression. This approach enables researchers to estimate two different contributions to changes in inequality between two time points. Key Features Clear statistical explanations provide fundamental statistical basis for understanding the new modeling framework Straightforward empirical examples reinforce statistical knowledge and ready-to-use procedures Multiple approaches to assessing inequality are introduced by starting with the basic distributional property and providing connections among approaches This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as individual researchers. Learn more about "The Little Green Book" - QASS Series! Click Here

Fractal Analysis

Author: Clifford Brown,Larry Liebovitch

Publisher: SAGE

ISBN: 1412971659

Category: Mathematics

Page: 90

View: 9993

As one of the only texts introducing fractal analysis and the social processes involved to social science readers, this is a must-have book for those looking to gain an understanding of this area of analysis.

Sorting Data

Collection and Analysis

Author: A. P. M. Coxon

Publisher: SAGE

ISBN: 9780803972377

Category: Mathematics

Page: 98

View: 5674

If you need hints on how to collect, describe, compare and analyze data, you will find them in this handy guide. The author addresses specification elaboration, and sampling of the "domain" or what is to be sorted. There is also help on setting the criterion, the pre-test, administration, and recording of results. The author gives special consideration to problems of categorization illustrated with a real research example.

The Association Graph and the Multigraph for Loglinear Models

Author: Harry J. Khamis

Publisher: SAGE

ISBN: 1452238952

Category: Mathematics

Page: 136

View: 8784

The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

Multivariate General Linear Models

Author: Richard F. Haase

Publisher: SAGE Publications

ISBN: 1483342115

Category: Mathematics

Page: 224

View: 6410

Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data, and introduces multivariate linear model analysis as a generalization of the univariate model. The author focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology.

New tools for social scientists

advances and applications in research methods

Author: William D. Berry,Michael S. Lewis-Beck

Publisher: Sage Publications, Inc

ISBN: 9780803926257

Category: Social Science

Page: 288

View: 8107

This volume reviews the most important recent advances in quantitative social science methodology. Broad coverage is given to techniques applicable to the study of a wide variety of topics. To better explain these techniques, each chapter includes an extensive treatment of just one or two substantive applications. Limited to a small number of applications, the authors are able to discuss the methodological choices involved in research to a degree rarely found in social science literature.

The SAGE Dictionary of Social Research Methods

Author: Victor Jupp

Publisher: Pine Forge Press

ISBN: 1446238563

Category: Social Science

Page: 352

View: 7080

Bringing together the work of over eighty leading academics and researchers worldwide to produce the definitive reference and research tool for the social sciences, The SAGE Dictionary of Social Research Methods contains more than 230 entries providing the widest coverage of the all the main terms in the research process. It encompasses philosophies of science, research paradigms and designs, specific aspects of data collection, practical issues to be addressed when carrying out research, and the role of research in terms of function and context. Each entry includes: - A concise definition of the concept - A description of distinctive features: historical and disciplinary backgrounds; key writers; applications - A critical and reflective evaluation of the concept under consideration - Cross references to associated concepts within the dictionary - A list of key readings Written in a lively style, The SAGE Dictionary of Social Research Methods is an essential study guide for students and first-time researchers. It is a primary source of reference for advanced study, a necessary supplement to established textbooks, and a state-of-the-art reference guide to the specialized language of research across the social sciences.

Nonrecursive Models

Endogeneity, Reciprocal Relationships, and Feedback Loops

Author: Pamela Paxton,John R. Hipp,Sandra Marquart-Pyatt,Sandra T. Marquart-Pyatt

Publisher: SAGE Publications

ISBN: 1412974445

Category: Social Science

Page: 128

View: 9285

Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a clear, condensed and precise form. It guides readers through the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.

Quantile Regression

Author: Lingxin Hao,Daniel Q. Naiman

Publisher: SAGE Publications

ISBN: 1483316904

Category: Social Science

Page: 136

View: 6771

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