Handbook of Data Analysis

Informationen zum Autor Melissa Hardy is a Distinguished Professor Emeritus of Sociology and Demography at Penn State University in University Park. She is an alumna of Albright College and Indiana University in Bloomington. Her research focused on aging and the life course, retirement and age-stratified transitions, self-assessed health, and political attitudes using longitudinal data and a range of quantitative techniques.   Her published work appears in American Sociological Review , Social Forces, Journal of Health and Social Behavior , and Demography . She enjoyed teaching social statistics and general linear models to graduate and undergraduates students, using everyday experiences to help them understand the meaning of statistical concepts. Alan Bryman is Professor of Organizationaland Social Research, School of Management, University of Leicester, UK. Klappentext A fundamental book for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis. Scholars and students can turn to it for teaching and applied needs with confidence. Zusammenfassung A fundamental book for social researchers. It provides a first-class! reliable guide to the basic issues in data analysis. Scholars and students can turn to it for teaching and applied needs with confidence. Inhaltsverzeichnis Introduction: Common Threads among Techniques of Data Analysis - Melissa Hardy and Alan Bryman PART ONE: FOUNDATIONS Constructing Variables - Alan Bryman and Duncan Cramer Summarizing Distributions - Melissa 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: The Utility of Dummy Variables - Melissa Hardy and John Reynolds 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: Fixed- and Random-Effects Models - Trond Petersen Longitudinal Analysis for Continuous Outcomes: Random Effects Models and Latent Trajectory Models - Guang Guo and John Hipp 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 Modelling - William Browne and Jon 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 for Qualitative Data Analysis - Raymond M Lee and Nigel G Fielding Content Analysis - Roberto P Franzosi Semiotics and Data Analysis - Peter K Manning Conversation Analysis - Steven 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 ...

List of contents

Introduction: Common Threads among Techniques of Data Analysis - Melissa Hardy and Alan Bryman
PART ONE: FOUNDATIONS
Constructing Variables - Alan Bryman and Duncan Cramer
Summarizing Distributions - Melissa 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: The Utility of Dummy Variables - Melissa Hardy and John Reynolds
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: Fixed- and Random-Effects Models - Trond Petersen
Longitudinal Analysis for Continuous Outcomes: Random Effects Models and Latent Trajectory Models - Guang Guo and John Hipp
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 Modelling - William Browne and Jon 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 for Qualitative Data Analysis - Raymond M Lee and Nigel G Fielding
Content Analysis - Roberto P Franzosi
Semiotics and Data Analysis - Peter K Manning
Conversation Analysis - Steven 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

About the author

Melissa Hardy is a Distinguished Professor Emeritus of Sociology and Demography at Penn State University in University Park. She is an alumna of Albright College and Indiana University in Bloomington. Her research focused on aging and the life course, retirement and age-stratified transitions, self-assessed health, and political attitudes using longitudinal data and a range of quantitative techniques.  Her published work appears in American Sociological Review, Social Forces, Journal of Health and Social Behavior, and Demography. She enjoyed teaching social statistics and general linear models to graduate and undergraduates students, using everyday experiences to help them understand the meaning of statistical concepts.
Alan Bryman is Professor of Organizational
and Social Research, School of Management, University
of Leicester, UK.

Product details

• Authors: Alan Bryman, Melissa A Hardy
• Assisted by: Alan Bryman (Editor), Bryman Alan (Editor), Melissa A Hardy (Editor), Melissa a a Hardy (Editor), Melissa A. Hardy (Editor)
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 31.05.2009
• EAN: 9781848601161
• ISBN: 978-1-84860-116-1
• No. of pages: 728
• Dimensions: 175 mm x 248 mm x 35 mm
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; Social sciences, law, business > Social sciences (general); Social sciences, law, business > Sociology > General, dictionaries; Sociology, SOCIAL SCIENCE / Sociology / General, Data analysis: general, Data science and analysis: general, social research