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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 theore...
Retains complete coverage of the first edition, while amplifying key areas such as direct/indirect effects, standardized/unstandardized variables, multicollinie-arity, and nonrecursive modeling.
Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Si...
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How does a personality characteristic such as self-esteem become translated into political convictions? How do individual differences in self-esteem affect who becomes a politcal activist and a political leader? These are among the major questions addressed in this study, the first of its kind to be based on large-scale samples of both political laders and ordinary citizens. Drawing on the voluminous research of social psychologists on self-esteem and integrating the dynamic theories of Freud and his followers with the functional and social learning approaches, Professor Sniderman advances new theories to account for the complex connections between personality, political beliefs, and politic...
A Special Publication of the Society of Environmental Toxicology and Chemistry (SETAC) Aquatic Mesocosm Studies in Ecological Risk Assessment discusses the methods currently used for conducting simulated field studies and provides a series of case histories in which mesocosm type studies have been used to assess the impact of pesticides on aquatic ecosystems. Specific chapters address the dosing and exposure components of such studies and how they influence experimental design. Advantages and disadvantages of various statistical designs are addressed in detail. Regulatory aspects of the design and interpretation of these studies are also covered. The book will be a superb reference for aquatic biologists, ecologists, toxicologists, environmental toxicologists, environmental chemists, and regulatory personnel.
Using an accessible approach perfect for social and behavioral science students (requiring minimal use of matrix and vector algebra), Holmes examines how propensity scores can be used to both reduce bias with different kinds of quasi-experimental designs and fix or improve broken experiments. This unique book covers the causal assumptions of propensity score estimates and their many uses, linking these uses with analysis appropriate for different designs. Thorough coverage of bias assessment, propensity score estimation, and estimate improvement is provided, along with graphical and statistical methods for this process. Applications are included for analysis of variance and covariance, maximum likelihood and logistic regression, two-stage least squares, generalized linear regression, and general estimation equations. The examples use public data sets that have policy and programmatic relevance across a variety of social and behavioral science disciplines.
Claude Markovits tells the story of two groups of Hindu merchants from the towns of Shikarpur and Hyderabad in the province of Sind. Basing his account on previously neglected archival sources, the author charts the development of these communities, from the pre-colonial period through colonial conquest and up to independence, describing how they came to control trading networks throughout the world. While the book focuses on the trade of goods, money and information from Sind to the widely dispersed locations of Kobe, Panama, Bukhara and Cairo, it also throws light on the nature of trading diasporas from South Asia in their interaction with the global economy. This is a sophisticated and accessible book, written by one of the most distinguished economic historians in the field. It will appeal to scholars of South Asia, as well as to colonial historians and to students of religion.