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Measurement in social science research has only recently begun to command attention. With a shift in attitudes towards causal modelling and the use of parametric statistics, interest in formal measurement models has grown. Bohrnstedt and Borgatta aim to stimulate further theoretical research into sociological measurement, and to provide examples of how these techniques can be applied in research. This timely compilation will benefit those who are interested in quantitative methods, particularly researchers, educators, and advanced students in the social sciences.
The fourth edition of STATISTICS FOR SOCIAL DATA ANALYSIS continues to show students how to apply statistical methods to answer research questions in various fields. Throughout the text, the authors underscore the importance of formulating substantive hypotheses before attempting to analyze quantitative data. An important aspect of this text is its realistic, hands-on approach. Actual datasets are used in most examples, helping students understand and appreciate what goes into the research process. The book focuses on the continuous-discrete distinction in considering the level at which a variable is measured. Rather than dwelling on the four conventional levels-of-measurement distinctions, the authors discuss statistics for analyzing continuous and discrete variables separately and in combination.
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While Father is Away reveals the intimate story of a British-American's role in the American Civil War. William Bradbury's letters home provide a rare window on the unique relationships among husband, wife, and children while a father was away at war. Yorkshire attorney turned Union volunteer soldier Bradbury became a "privileged private" with extraordinary access to powerful Union generals including Daniel Butterfield, future president Benjamin Harrison, and Clinton B. Fisk, the region's administrator for the Freedmen's Bureau during Reconstruction. The letters also provide an in-depth look at this driven land speculator and manager for the Atchison Topeka Santa Fe Railway. As a reporter for the Chicago Tribune and the Manchester Guardian, Bradbury was both eyewitness to and participant in the shaping of events in the world as it moved west.
This is a study about perceptions of well-being. Its purpose is to investigate how these perceptions are organized in the minds of different groups of American adults, to find valid and efficient ways of measuring these percep tions, to suggest ways these measurement methods could be implemented to yield a series of social indicators, and to provide some initial readings on these indicators; i.e., some information about the levels of well-being perceived by Americans. The findings are based on data from more than five thousand Americans and include results from four separate representative samplings of the American population. One of the ways our research is unusual is that it includes a maj...
Hayduk is equally at ease explaining the simplest and most advanced applications of the program . . . Hayduk has written more than just a solid text for use in advanced graduate courses on statistical modeling. Those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know more, will find this an excellent reference.
`Wright has written a very readable overview of the major quantitative techniques used in the social sciences. Her book covers many of the major techniques used in contemporary social science concisely and clearly and, therefore, should be useful to both practitioners and students alike.' -- George W Bohrnstedt, Indiana University
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...