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Handbook of Data Analysis

by Melissa A Hardy and Alan Bryman SAGE Publications Ltd
Pub Date:
06/2009
ISBN:
9781848601161
Format:
Pbk 728 pages
Price:
AU$115.00 NZ$120.87
Product Status: Available in Approx 5 days
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This is a book that will rapidly be recoginsed 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.

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.

'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning

'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University

'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa

'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey

Contents:
Preface
Notes on Contributors
f002 Melissa Hardy and Alan Bryman Introduction: Common Threads among Techniques of Data Analysis
PART ONE: FOUNDATIONS
/f002Alan Bryman and Duncan Cramer /f001Constructing Variables
f002 Melissa Hardy Summarizing Distributions
/f002Lawrence Hazelrigg /f001Inference
/f002Mortaza Jamshidian /f001Strategies for Analysis of Incomplete Data
/f002Mary Maynard /f001Feminist Issues in Data Analysis
/f002Dennis Smith/f001 Historical Analysis
PART TWO: THE GENERAL LINEAR MODEL AND EXTENSIONS
/f002Ross M. Stolzenberg /f001Multiple Regression Analysis
/f002Melissa Hardy and John Reynolds /f001Incorporating Categorical Information into Regression Models: The Utility of Dummy Variables
f002 James Jaccard and Tonya Dodge Analyzing Contingent Effects in Regression Models
/f002J. Scott Long and Simon Cheng /f001Regression Models for Categorical Outcomes
/f002Douglas L. Anderton and Eric Cheney /f001Log-Linear Analysis
PART THREE: LONGITUDINAL MODELS
/f002Nancy Brandon Tuma /f001Modeling Change
/f002Trond Petersen /f001Analyzing Panel Data: Fixed- and Random-Effects Models
/f002Guang Guo and John Hipp/f001 Longitudinal Analysis for Continuous Outcomes:Random Effects Models and Latent Trajectory Models
/f002Paul Allison /f001Event History Analysis
/f002Heather MacIndoe and Andrew Abbott /f001Sequence Analysis and Optimal Matching Techniques for Social Science Data
PART FOUR: NEW DEVELOPMENTS IN MODELING
/f002Vincent Kang Fu, Christopher Winship and Robert D. Mare /f001Sample Selection Bias Models
f002 Jodie B. Ullman and Peter M. Bentler Structural Equation Modeling
/f002William Browne and Jon Rasbash/f001 Multilevel Modelling
/f002Christopher Winship and Michael Sobel /f001Causal Inference in Sociological Studies
f002 Ronald L. Breiger The Analysis of Social Networks
PART FIVE: ANALYZING QUALITATIVE DATA
/f002Raymond M. Lee and Nigel G. Fielding /f001Tools for Qualitative Data Analysis
/f002Roberto P. Franzosi /f001Content Analysis
/f002Peter K. Manning /f001Semiotics and Data Analysis
/f002Steven E. Clayman and Virginia Teas Gill/f001 Conversation Analysis
/f002Jonathan Potter /f001Discourse Analysis
/f002Nick Pidgeon and Karen Henwood /f001Grounded Theory
/f002Barbara Czarniawska/f001 The Uses of Narrative in Social Science Research
/f002Sara Delamont and Paul Atkinson /f001Qualitative Research and the Postmodern Turn
Appendix. Areas of the Standard Normal Distribution
Index

Alan E. Bryman University of Leicester
Melissa A. Hardy Gerontology, The Pennsylvania State University