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Informationen zum Autor RESEARCH aND TEACHING INTERESTSQuantitative Analysis Techniques, Longitudinal Methods; Aging & Social Change;Public Policy and Aging.Social Inequality, Social Sciences and Humanities Research Council of Canada. “Workforce aging in the new economy: A comparative study of information technology employment” (Julie A. McMullin, PI; Victor Marshall, Joann Marshall, University of North Carolina; Neil Charness, Florida State University). October 2002 – September 2006.Work and Retirement, including the influence of organizational incentives, pensions, family decision-making, health, job satisfaction; Public Policy, including Social Security, the Age Discrimination and Employment Act, the Employee Retirement Income Security Act, Medicare and Medicaid; Political Attitudes, including analysis of social change and individual aging; Women’s Issues and Aging, including poverty and financial security, caregiving, long-term care, intergenerational assistance, and health; Cognitive Components of Saving and Investment behavior, including planning horizon, discounting, risk tolerance, deferred gratification; Older Workers, including training, displacement, work schedules, job demands, organizational incentive structures. Alan Bryman is Professor of Organizationaland Social Research, School of Management, University of Leicester, UK. Klappentext This is a book that will rapidly be recognized as the bible for social researchers. It 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. However, 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. Zusammenfassung Handbook of Data Analysis Inhaltsverzeichnis Introduction - Melissa A Hardy and Alan Bryman Common Threads among Techniques of Data Analysis PART ONE: FOUNDATIONS Constructing Variables - Alan Bryman and Duncan Cramer Summarizing Distributions - Melissa A Hardy Inference - Lawrence Hazelrigg Strategies for Analysis of Incomplete Data - Mortaza Jamshidian Feminist Issues in Data Analysis - Mary Maynard Historical Analysis - Dennis Smith PART TWO: THE GENERAL LINEAR MODEL AND EXTENSIONS Multiple Regression Analysis - Ross M Stolzenberg Incorporating Categorical Information into Regression Models - Melissa A Hardy and John Reynolds The Utility of Dummy Variables Analyzing Contingent Effects in Regression Models - James Jaccard and Tonya Dodge Regression Models for Categorical Outcomes - J Scott Long and Simon Cheng Log Linear Analysis - Douglas L Anderton and Eric Cheney PART THREE: LONGITUDINAL MODELS Modeling Change - Nancy Brandon Tuma Analyzing Panel Data - Trond Petersen Fixed- and Random-Effects Models Longitudinal Analysis for Continuous Outcomes - Guang Guo and John Hipp Random Effects Models and Latent Trajectory Models Event History Analysis - Paul Allison Sequence Analysis and Optimal Matching Techniques for Social Science Data - Heather MacIndoe and Andrew Abbott PART FOUR: NEW DEVELOPMENTS IN MODELING Sample Selection Bias Models - Vincent Kang Fu, Christopher Winship and Robert D Mare Structural Equation Modeling - Jodie B Ullman and Peter M Bentler Multilevel Modeling - William Browne and J Rasbash Causal Inference in Sociological Studies - Christopher Winship and Michael Sobel The Analysis of Social Networks - Ronald L Breiger PART FIVE: ANALYZING QUALITATIVE DATA Tools of Qualitative Data Analysis - Raymond M Lee and Nigel ...
