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Measurement in the Social Sciences
Language: en
Pages: 224
Authors: Richard A. Zeller, Edward G. Carmines
Categories: Political Science
Type: BOOK - Published: 1980-04-30 - Publisher: Cambridge University Press

This textbook is designed to bridge the gap between the theorist and the methodologist by presenting an integrated approach to measurement. By differentiating between random and systematic error, it conveys both statistical techniques and their theoretical underpinnings essential to students of sociology and political science. Rather than developing new technical methods of new theoretical structures, Professors Zeller and Carmines provide thorough explanations of the assumptions, limitations and interpretations of previously established techniques and theories. Written at a level accessible to students of social science with some statistical training, the book does not presume a sophisticated mathematical background. By concentrating on synthesizing the methodological and theoretical realms, Zeller and Carmines demonstrate why measurement considerations are important to research and how measurement principles can be most effectively applied.
Measurements in the Social Sciences
Language: en
Pages: 464
Authors: Hubert M. Blalock
Categories: Social Science
Type: BOOK - Published: 1974 - Publisher: AldineTransaction

Among the frustrations constantly confronting the social scientist are those associated with the general process of measurement. The importance of good measurement has long been recognized in principle, but it has often been neglected in practice in many of the social sciences. Now that the methodological tools of multivariate analysis, simultaneous-equation estimation, and causal modeling are diffused more widely into the social sciences, and now that the very serious implications of random and non-random measurement errors are being systematically investigated, it is all the more important that social scientists give top priority to the quality of their data and the clarity of their theoretical conceptualizations, as well as to methods for analyzing fallible data. This book deals with selected problems of measurement and is written for graduate students and professional social scientists, particularly in the technically less developed fields of sociology, political science and anthropology. The book is organized so that, in general, one proceeds from problems of data collection to those of data analysis. It is not intended to be a complete work covering all types of measurement problems that have arisen in the social sciences. Instead, it represents a series of studies of topics that are deemed to be crucial for the advancement of social science research but which have not received sufficient attention in most of the social sciences. The basic purpose is to stimulate further methodological research on measurement and to study the ways in which knowledge that has been accumulated in some fields may be generalized so that it may be applied to others. The book is divided into three major parts. Part I is concerned with applying scaling approaches developed in psychometrics to problems that arise in other social sciences. The focus is on finding better ways to ask questions of respondents so as to raise the level of measurement above that of simple ordinal scales. Part II focuses on multiple-indicator theory and strategies as applied to relatively complex models and to change data. In this section the emphasis shifts to how one analyzes fallible data through the construction of explicit measurement-error models. Part III deals with the statistical analysis of ordinal data, including the interpretation and empirical behaviors of various ordinal measures of association. The final chapter (written by the editor) discusses how ordered-metric assumptions may be used to make more powerful predictions than those characterizing much of contemporary social science. H.M. Blalock, Jr. (1926-1991) was Professor, Department of Sociology, the University of Washington, Seattle. He was recipient of the 1973 ASA Samuel Stouffer Prize, and was a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and is a member of the National Academy of Sciences. He was the 70th president of the American Sociological Association.
Measurement in the Social Sciences
Language: en
Pages: 473
Authors: Hubert M. Blalock
Categories: Social Science
Type: BOOK - Published: 2017-09-08 - Publisher: Routledge

Among the frustrations constantly confronting the social scientist are those associated with the general process of measurement. The importance of good measurement has long been recognized in principle, but it has often been neglected in practice in many of the social sciences. Now that the methodological tools of multivariate analysis, simultaneous-equation estimation, and causal modeling are diffused more widely into the social sciences, and now that the very serious implications of random and non-random measurement errors are being systematically investigated, it is all the more important that social scientists give top priority to the quality of their data and the clarity of their theoretical conceptualizations. The book is organized so that, one proceeds from problems of data collection to those of data analysis. It is not intended to be a complete work covering all types of measurement problems that have arisen in the social sciences. Instead, it represents a series of studies that are deemed to be crucial for the advancement of social science research but which have not received sufficient attention in most of the social sciences. The basic purpose is to stimulate further methodological research on measurement and to study the ways in which knowledge that has been accumulated in some fields may be generalized. Part I is concerned with applying scaling approaches developed in psychometrics to problems that arise in other social sciences. The focus is on finding better ways to ask questions of respondents so as to raise the level of measurement above that of simple ordinal scales. Part II focuses on multiple-indicator theory and strategies as applied to relatively complex models and to change data. In this section the emphasis shifts to how one analyzes fallible data through the construction of explicit measurement-error models. Part III deals with the statistical analysis of ordinal data, including the interpretation and empirical behaviors of various ordinal measures of association.
Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View
Language: en
Pages: 320
Authors: R. Hegselmann, Ulrich Mueller, Klaus G. Troitzsch
Categories: Social Science
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics. Such social dynamics refer to public opinion formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science.
Dimensions of Impact in the Social Sciences
Language: en
Pages: 125
Authors: Haux, Tina
Categories: Political Science
Type: BOOK - Published: 2019-07-03 - Publisher: Policy Press

Impact has become a central part of the assessment criteria for academic worth. It has been adopted by many research funding bodies, and it is firmly embedded in the British Research Excellence Framework. However, a clear definition of impact remains elusive and guidance on how exactly to achieve it is often superficial. This concise, informative book analyses impact across the social sciences. It draws on the analysis of the most highly ranked British impact case studies from the 2014 Research Excellence Framework, as well as fifteen interviews with senior academics, providing a longitudinal and critical framing of impact. The author concludes with valuable recommendations of how and when scholars can achieve impact.
Epistemological and Ethical Aspects of Research in the Social Sciences
Language: en
Pages:
Authors: Ulrich Dettweiler, Barbara Hanfstingl, Hannes Schröter
Categories: Political Science
Type: BOOK - Published: 2020-06-08 - Publisher: Frontiers Media SA

Books about Epistemological and Ethical Aspects of Research in the Social Sciences
Teaching Research Methods in the Social Sciences
Language: en
Pages: 264
Authors: Claire Wagner
Categories: Social Science
Type: BOOK - Published: 2016-04-01 - Publisher: Routledge

How can excellence in the teaching of research methods be encouraged and ensured? This question has become increasingly important following the adoption of research methodology as a core part of many postgraduate and undergraduate courses. There has, however, been little discussion about the aims and methods of teaching the subject. In this volume; a number of authors from a variety of countries and disciplines employ their knowledge and experience towards the development of a 'pedagogical culture' in research methods. Their aim is to establish the extent of common concerns and challenges and to demonstrate ways in which these are being met. Intended to provide both a stimulus and source materials for the development of a more substantial and systematic literature in the field, the book will be of great interest to all those teaching research methods courses within social science disciplines.
The Routledge Companion to Philosophy of Science
Language: en
Pages: 736
Authors: Martin Curd, Stathis Psillos
Categories: Philosophy
Type: BOOK - Published: 2013-07-24 - Publisher: Routledge

The Routledge Companion to Philosophy of Science is an indispensable reference source and guide to the major themes, debates, problems and topics in philosophy of science. It contains sixty-two specially commissioned entries by a leading team of international contributors. Organized into four parts it covers:historical and philosophical context debates concepts the individual sciences. The Routledge Companion to Philosophy of Science addresses all of the essential topics.
The Crisis in Sociology
Language: en
Pages: 285
Authors: Raymond Boudon, Howard H Davis
Categories: Social Science
Type: BOOK - Published: 1981-02-26 - Publisher: Springer

Books about The Crisis in Sociology
Mixing Methods in Social Research
Language: en
Pages: 272
Authors: Ralph Hall
Categories: Reference
Type: BOOK - Published: 2020-02-24 - Publisher: SAGE

Introducing mixed methods alongside basic research theory and principles, this text fully integrates mixed methods into the research methods foundation, providing a straightforward introduction to the topic.
X-Kit Undergraduate Stats for the Social Sciences
Language: en
Pages: 290
Authors: Ralph Hall
Categories: Science
Type: BOOK - Published: 2005 - Publisher: Pearson South Africa

Books about X-Kit Undergraduate Stats for the Social Sciences
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
Language: en
Pages: 502
Authors: Gregory R. Hancock, Laura M. Stapleton, Ralph O. Mueller
Categories: Education
Type: BOOK - Published: 2018-11-15 - Publisher: Routledge

The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.