Synopsis
This book provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence.
The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage.
No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.
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About the Authors
Melissa Hardy is a Distinguished Professor Emeritus of Sociology and Demography at Penn State University in University Park. She is an alumna of Albright College and Indiana University in Bloomington. Her research focused on aging and the life course, retirement and age-stratified transitions, self-assessed health, and political attitudes using longitudinal data and a range of quantitative techniques. Her published work appears in American Sociological Review, Social Forces, Journal of Health and Social Behavior, and Demography. She enjoyed teaching social statistics and general linear models to graduate and undergraduates students, using everyday experiences to help them understand the meaning of statistical concepts.
Alan Bryman is Professor of Organizational and Social Research, School of Management, University of Leicester, UK.
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