The Encyclopedia of Social Measurement captures the data, techniques, theories, designs, applications, histories, and implications of assigning numerical values to social phenomena. Responding to growing demands for transdisciplinary descriptions of quantitative and qualitative techniques, measurement, sampling, and statistical methods, it will increase the proficiency of everyone who gathers and analyzes data.
Covering all core social science disciplines, the 300+ articles of the Encyclopedia of Social Measurement not only present a comprehensive summary of observational frameworks and mathematical models, but also offer tools, background information, qualitative methods, and guidelines for structuring the research process. Articles include examples and applications of research strategies and techniques, highlighting multidisciplinary options for observing social phenomena. The alphabetical arrangement of the articles, their glossaries and cross-references, and the volumes' detailed index will encourage exploration across the social sciences. Descriptions of important data sets and case studies will help readers understand resources they can often instantly access.
Also available online via ScienceDirect – featuring extensive browsing, searching, and internal cross-referencing between articles in the work, plus dynamic linking to journal articles and abstract databases, making navigation flexible and easy. For more information, pricing options and availability visit www.info.sciencedirect.com.
- Introduces readers to the advantages and potential of specific techniques and suggests additional sources that readers can then consult to learn more
- Conveys a range of basic to complex research issues in sufficient detail to explain even the most complicated statistical technique. Readers are provided with references for further information
- Eleven substantive sections delineate social sciences and the research processes they follow to measure and provide new knowledge on a wide range of topics
- Authors are prominent scholars and methodologists from all social science fields
- Within each of the sections important components of quantitative and qualitative research methods are dissected and illustrated with examples from diverse fields of study
- Actual research experiences provide useful examples
University, research, corporate, and government libraries worldwide; all levels of government interested in public policy analysis; industries concerned with data in the the areas of benchmarking, competitive intelligence, data warehousing & data mining, directories, dictionaries/glossaries, discussion groups, information services companies, internet, insurance, marketing, news sources, product development/product management, publications/publishers, rating agencies, regulatory & legal, research, risk managment, technology & automation, trade & profesional associations.
S. Lynch, Bayesian Statistics.
R.G. Golledge, Cognitive Maps.
S.E. Fienberg, Contingency Tables and Log-Linear Models.
D. Lavin-Loucks, Conversation Analysis.
A.B. Whitford, Correlations.
J.E. Kee, Cost-Benefit Analysis.
S.C. Weller, Cultural Consensus Model.
K.E. Haynes and M. Dinc, Data Envelopment Analysis (DEA).
J.A. Bunge and D.H. Judson, Data Mining.
P.A. Jargowsky and R. Yang, Descriptive and Inferential Statistics.
R.J. Pik, Digital Terrain Modeling.
J.L. Jasinski, Domestic Violence: Measurement of Incidence and Prevalence.
K.B. Newbold, Dynamic Migration Modeling.
C.G. Renfro, Economic Forecasts.
C.S. Aneshensel, Elaboration.
N.B. Tuma, Event History Analysis.
C. Schuster and K.H. Yuan, Factor Analysis.
G. Farkas, Fixed Effect Models.
S.L. Cutter, Hazards Measurement.
M.D. Mumford and L.E. Leritz, Heuristics.
J. Gill, Hierarchical Linear Models.
J.T. Kerr and J. Cihlar, Land Use Mapping.
J. Fox, Linear Models, Problems.
C.S. ReVelle and H.A. Eiselt, Location Analysis.
C.H. Franklin, Maximum Likelihood Estimation.
J. DeCoster, Meta-Analysis.
R.J.G.M. Florax and P. Nijkamp, Misspecification in Linear Spatial Regression Models.
A. Cliff and P. Haggett, Modeling Diffusion Processes.
J.D. Carroll, P. Arabie, and L. Hubert, Multidimensional Scaling (MDS).
J.J. Hox and C.J.M. Maas</
- eBook ISBN:
- eBook ISBN:
"Written by experienced methodologists in various fields of the social sciences, the 356 alphabetically arranged, signed entries in this encyclopedia describe the "research questions social scientists ask, the sources and methods they use to collect information, and the techniques they use to analyze these data and provide answers to the important questions." The work covers both quantitative and qualitative approaches to the social sciences and social measurement. To aid the reader, an alphabetical list of entries and a table of contents organized by subject precede the text. Articles on such topics as sample design and Web-based surveys consist of a glossary, a defining statement, the main body of the article, a list of cross-references, and a bibliography. An extensive subject index completes the work. The present work and The Sage Encyclopedia of Social Science Research Methods," Ed. by M.S. Lewis-Beck et al. (CH, Sep '04, 42-0062), complement one another; Sage covers about 1,000 topics at varying length and ESM provides analysis in greater depth on a smaller number of subjects. Summing Up: Highly recommended. Upper-division undergraduates, graduate students, faculty, and professionals." -CHOICE "Most social science disciplines — Sociology, Psychology, Population, etc. — have seen the publication of a multi-volume encyclopedia in recent years. The Encyclopedia of Social Measurement cuts across these disciplines with a creative and comprehensive organizing structure. Its authoritative entries range from big picture topics such as research design and experimental vs. non-experimental methods, to specific methods of data collection and analysis such as focus groups, structural equation models, and spatial statistics, to important but often overlooked issues such as the proper use of weights. There are fascinating applications to archeology, criminology, and many other substa