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Advances in Social Network Analysis
Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology.
Measurement, Judgment, and Decision Making
Measurement, Judgment, and Decision Making provides an excellent introduction to measurement, which is one of the most basic issues of the science of psychology and the key to science. Written by leading researchers, the book covers measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making. Each chapter provides a useful handbook summary and unlocks the door for a scholar who desires entry to that field. Any psychologist who manipulates an independent variable that affects a psychological construct or who uses a numerical dependent variable to measure a psychological construct will want to study this book. - Written by leading researchers in fields of measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making - Provides basic definitions and summaries of theories - Presents summaries and citations to relevant literature - Contains new developments, current controversies, and open questions - Explains relationships among fields and historical links
Research Methods in Social Network Analysis
Since the publication of Herbert Spencer's Principles of Sociology in 1875, the use of social structure as a defining concept has produced a large body of creative speculations, insights, and intuitions about social life. However, writers in this tradition do not always provide the sorts of formal definitons and propositions that are the building blocks of modern social research. In its broad-ranging examination of the kind of data that form the basis for the systematic study of social structure, Research Methods in Social Network Analysis marks a significant methodological advance in network studies.As used in this volume, social structure refers to a bundle of intuitive natural language id...
Advances in the Study of Behavior
Advances in the Study of Behavior
Knowledge, Data and Computer-Assisted Decisions
Proceedings of the NATO Advanced Research Workshop on Data, Expert Knowledge and Decisions, held in Hamburg, FRG, September 3-5, 1989
Advanced Marketing Research
Advanced Marketing Research is a companion volume to Richard Bagozzi's Principles of Marketing Research. It is intended for students on advanced marketing research courses at the graduate and postgraduate levels and on executive programs. Each chapter begins with a historical development of the topical area before moving on to advanced issues and coverage of latest developments. To aid students learning, questions and exercises are included throughout.
Marketing Research and Modeling: Progress and Prospects
Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.
