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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

This comprehensive book is an excellent reference guide for researchers to guide them in data analysis techniques. Various topics around data analysis are discussed in detail. This is definitely a book for researchers to keep at hand all the time.

Dr Ensa Johnson
Centre for Augmentative and Alternative Communication, University of Pretoria
November 25, 2015

It can be used not only a one course handbook, it also have wide range of interest about data management and analysis.

Dr Gokhan Secme
Business Administration , Nevşehir Hacı Bektas Veli University
October 7, 2015

This is an excellent book with 30 separate chapters, all by key authors. Covers the foundations of data analysis, linear and longitudinal models, 'new developments' and analysing qual. data. Whilst many students will probably only use the book for a specific chapter there is a wealth of information here including: feminist issues, analysing incomplete data, grounded theory, the postmodern turn. Suitable for some 3rd year UG and many PG students.

Mr Andrew Holmes
Centre for Educational Studies, Hull University
March 29, 2015

Great book that covers all the principle data analysis techniques.

I recommend it for several courses:
- Interview (Master);
- Research seminar in organisational psychology (Master);
- Work and organisational psychology (Master).

Dr Marina Burakova-Lorgnier
Psychology & Education Sciences, University of Provence Aix-Marseille I
February 27, 2014

It is a great book covering every aspect of data analysis!

Dr Basak Bilecen
Faculty of Sociology, Bielefeld University
October 2, 2013

An excellent detailed text on data analysis. Highly recommended to guide data analyisis for both MSc and PHd students.

Mr Amos Haniff
Management, Heriot-Watt University
August 21, 2013

This work reliefs the students of the crises of inability of reducing their computations into meaningful reports owing to lack of skills. It is indeed, a masterpiece in a dry area of interest

Mr Peter Chiamogu
Public Administration, Federal Polytechnic Oko
February 11, 2013

An excellent and comprehensive text that will provide a useful reference point for conscientious students.

Dr Luke Sloan
Cardiff School of Social Sciences, Cardiff University
September 13, 2012

For postgrad students

Dr Emre Toros
Political Science , Atilim University
September 7, 2012

This is a very thorough and well-presented handbook of data analysis. Although it is a bit on the advanced side for the course I initially planned on using it for, I will definitely recommend it to my Masters graduation students.

Ms Pinar Cankurtaran
Product Innovation Management, Delft University of Technology
July 23, 2012

Sample Materials & Chapters

Chapter One

Chapter Two

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