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Handbook of Data Analysis

Handbook of Data Analysis

First Edition
Edited by:

July 2009 | 728 pages | SAGE Publications Ltd
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.
Melissa Hardy and Alan Bryman
Introduction: Common Threads among Techniques of Data Analysis
Alan Bryman and Duncan Cramer
Constructing Variables
Melissa Hardy
Summarizing Distributions
Lawrence Hazelrigg
Mortaza Jamshidian
Strategies for Analysis of Incomplete Data
Mary Maynard
Feminist Issues in Data Analysis
Dennis Smith
Historical Analysis
Ross M. Stolzenberg
Multiple Regression Analysis
Melissa Hardy and John Reynolds
Incorporating Categorical Information into Regression Models: The Utility of Dummy Variables
James Jaccard and Tonya Dodge
Analyzing Contingent Effects in Regression Models
J Scott Long and Simon Cheng
Regression Models for Categorical Outcomes
Douglas L Anderton and Eric Cheney
Log-Linear Analysis
Nancy Brandon Tuma
Modeling Change
Trond Petersen
Analyzing Panel Data: Fixed- and Random-Effects Models
Guang Guo and John Hipp
Longitudinal Analysis for Continuous Outcomes: Random Effects Models and Latent Trajectory Models
Paul Allison
Event History Analysis
Heather MacIndoe and Andrew Abbott
Sequence Analysis and Optimal Matching Techniques for Social Science Data
Vincent Kang Fu, Christopher Winship and Robert D Mare
Sample Selection Bias Models
Jodie B Ullman and Peter M Bentler
Structural Equation Modeling
William Browne and Jon Rasbash
Multilevel Modelling
Christopher Winship and Michael Sobel
Causal Inference in Sociological Studies
Ronald L Breiger
The Analysis of Social Networks
Raymond M Lee and Nigel G Fielding
Tools for Qualitative Data Analysis
Roberto P Franzosi
Content Analysis
Peter K Manning
Semiotics and Data Analysis
Steven E Clayman and Virginia Teas Gill
Conversation Analysis
Jonathan Potter
Discourse Analysis
Nick Pidgeon and Karen Henwood
Grounded Theory
Barbara Czarniawska
The Uses of Narrative in Social Science Research
Sara Delamont and Paul Atkinson
Qualitative Research and the Postmodern Turn

'An excellent resource book for graduate students and professional researchers'

Dr Krishna Regmi
School of Health & Bioscience, University of East London
November 7, 2011

This is a great text for anyone in the process of planning their researh. It presents a wealth of information and guidance around the analysis of data generated through both qualitative and quantitative research approaches.

Mr Michael Mathews
Fac of Organisation & Management, Sheffield Hallam University
October 1, 2011

extremely detailed review and resource for students completing the dissertation-
good to include both qualitative and quantitative methods

Dr Steve Willcocks
School of Health & Postgrad Medicine, Central Lancashire University
April 11, 2011

not suitable for the purpose of the course, but nevertheless a very good preparation for me - gives me the possibility to extend my knowledge

Miss Elisabeth Wolfsteiner
Department of Marketing, Faculty of Businness, Economics, and Statistics
March 3, 2011

An excellent text exploring the tricky arena of quantitative and qualitative data analysis. An excellent addition to any student/course with contributions from world experts.

Mr James Brighton
Department of sport and Outdoor Education, Hartpury College
February 1, 2011

The title is not misleading; this truly is a handbook of data analysis. It is thorough and provides detailed information in all aspects related to the subject, from statistical treatment to interview methods and qualitative analysis. The book is graphically very well presented and is an excellent source, providing at the same time a reliable theoretical background and a very well structured approach which can help students engage in the discipline.

Professor Catarina Camarinhas
Faculdade de Arquitectura, Technical University of Lisbon
October 27, 2010

An excellent work, however in considering my specific needs for this module, it's emphasis on quantitative analysis and overall "theoretical" rather than "hands-on" approach is not so helpful in terms of teaching HOW TO DO qualitative data analysis.

Dr Lesley Ledden
Strategy, Marketing & Entrepreneurship, Kingston University
August 20, 2010

useful text for those conducting research rather than a literature review for their dissertation

Mr Melanie Rogers
School of Human & Health Sciences, Huddersfield University
April 19, 2010

This book will be of use for students undertaking quantitative methodological research projects

Patricia Warren
Dept of Nursing, University College Cork (NUI)
March 11, 2010

Excellent text for researchers engaged in data analysis. This book deals with both quantitative and qualitative data analysis, however quantitative data analysis is the main focus of the text. Contains excellant chapters on modeling qualitative data with diagramatic representations. Not a beginners text. This book would be a great resource to experienced researchers, in particular quantitative researchers or those involved in mixed methods research.

Miss Joy Conlon
Nursing , Dublin City University (DCU)
February 18, 2010

Sample Materials & Chapters

Chapter One

Chapter Two

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