Hardy / Bryman Handbook of Data Analysis

1. Auflage 2012
ISBN: 978-1-4462-0691-1
Verlag: SAGE Publications
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 728 Seiten, Format (B × H): 184 mm x 246 mm

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.

Autoren/Hrsg.

Hardy, Melissa A

Bryman, Alan

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

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 G Fielding
Content Analysis - Roberto P Franzosi
Semiotics and Data Analysis - Peter K Manning
Conversation Analysis - Steve E Clayman and Virginia Teas Gill
Discourse Analysis - Jonathan Potter
Grounded Theory - Nick Pidgeon and Karen Henwood
The Uses of Narrative in Social Science Research - Barbara Czarniawska
Qualitative Research and the Postmodern Turn - Sara Delamont and Paul Atkinson

Über Autor(innen)

Bryman, Alan
Alan Bryman is Professor of Organizational
and Social Research, School of Management, University
of Leicester, UK.

Hardy, Melissa A
RESEARCH aND TEACHING INTERESTS

Quantitative 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 Organizational and Social Research, School of Management, University of Leicester, UK.

Melissa A Hardy: RESEARCH aND TEACHING INTERESTS Quantitative 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.