The Handbook of Data Analysis

Paperback (Print)
Buy New
Buy New from BN.com
$71.40
Used and New from Other Sellers
Used and New from Other Sellers
from $47.13
Usually ships in 1-2 business days
(Save 44%)
Other sellers (Paperback)
  • All (7) from $47.13   
  • New (4) from $47.13   
  • Used (3) from $48.29   

Overview

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. 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.

Read More Show Less

Product Details

  • ISBN-13: 9781848601161
  • Publisher: SAGE Publications
  • Publication date: 7/17/2009
  • Edition description: Paperback Edition
  • Pages: 728
  • Product dimensions: 6.80 (w) x 9.60 (h) x 1.50 (d)

Meet the Author

RESEARCH a ND 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. Mc Mullin, 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.

Read More Show Less

Table 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 Mac Indoe 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

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)