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Trust
Trust, as Simmel noted, is a hypothesis regarding future behavior that is certain enough to serve as a basis for practical conduct. To trust another person (or collectivity or institution) is intermediate between knowledge and ignorance. Simmel was one of many social scientists (e.g., Tonnies, Durkheim, Parsons) who have contended that trust is one of the most important integrative forces within society. Modernization and its attendant social isolation, in the face of massive global changes, underscore the need to reexamine trust in all its multivariate and multidisciplinary character. This anthology presents twelve studies of trust. Some are conceptual, theoretical analyses, while others use historical data on societies, national surveys or cross-national comparative studies to test hypotheses.
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...
New Developments in Psychometrics
At the International Meeting of the Psychometric Society in Osaka, Japan, more than 300 participants from 19 countries gathered to discuss recent developments in the theory and application of psychometrics. This volume of proceedings includes papers on methods of psychometrics such as the structural equation model and item response theory. The book is in eight major sections: keynote speeches and invited lectures; structural equation modeling and factor analysis; IRT and adaptive testing; multivariate statistical methods; scaling; classification methods; and independent and principal component analysis. The 80 papers collected here provide a valuable source of information for all who are concerned with psychometrics, mathematical and statistical applications, and data analysis in psychological and behavioral sciences.
The Routledge History of Happiness
Unmatched in originality, breadth, and scope, The Routledge History of Happiness features chapters that explore the history, anthropology, and psychology of happiness across the globe. Through a chronological approach that ranges from the Classical and Postclassical to the twenty-first century, this volume balances intellectual-history treatments and wider efforts to deal with relevant popular culture and experience, including consumerism. It explores how and why the history of happiness has emerged in recent decades, as well as psychological and social science approaches to happiness, with a history of how relevant psychological research has unfolded. Chapters examine early cultural traditions concerning happiness, including material on Buddhist and Chinese traditions, and how they continue to influence ideas about happiness in the present day. Overall, each section emphasises wide geographical coverage, with particular attention paid to East Asia, Latin America, Europe, Russia, and Africa. The Routledge History of Happiness is of great use to all undergraduates, postgraduates, and scholars interested in the global history of emotions.
Advanced Studies in Behaviormetrics and Data Science
This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts.
Theories of Meaningfulness
This book examines the basis for measurement- how to measure what we measure and the meaning of what we measure. It is expected to appeal to those interested in measurement in the fields of psych, econ, med, edu, soc, & other applied social sciences.
