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Handbook of Data Analysis
First Edition
Edited by:
- Melissa A Hardy - Pennsylvania State University, USA
- Alan Bryman - University of Leicester, UK
Courses:
Quantitative Data Analysis
Quantitative Data Analysis
June 2012 | 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.
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
PART ONE: FOUNDATIONS
Alan Bryman and Duncan Cramer
Constructing Variables
Melissa Hardy
Summarizing Distributions
Lawrence Hazelrigg
Inference
Mortaza Jamshidian
Strategies for Analysis of Incomplete Data
Mary Maynard
Feminist Issues in Data Analysis
Dennis Smith
Historical Analysis
PART TWO: THE GENERAL LINEAR MODEL AND EXTENSIONS
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
PART THREE: LONGITUDINAL MODELS
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
PART FOUR: NEW DEVELOPMENTS IN MODELING
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
PART FIVE: ANALYZING QUALITATIVE DATA
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
A very thorough text which is highly supportive of dissertation students as they progress through their preparation
Humanities , Grimsby Institute of Further and Higher Education
November 26, 2009
