EBOOK

Handbook of Data Analysis


€ 83,49
 
pdf eBook
Sofort lieferbar (Download)
April 2004

Beschreibung

Beschreibung

This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond. Diagrams and tables are used effectively throughout the text and snippets of sample code provide useful additions to chapters for those of us who are less familiar with statistical software packages. Where equations are used to they are explained and documented with careful explanation of statistical notation. Each of the chapters in the book references a representative range of key authors and seminal texts, making it an ideal springboard for further and more advanced reading... the book provides an excellent reference of quantitative methodology and would provide a very useful addition to the shelves of researches and university libraries. - Environment and Planning

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.

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 provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University

`With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. While quantitative methods are treated, from basic statistics through the general linear model and beyond, qualitative methods are by no means neglected. Indeed, a unique feature of this volume is the careful integration of quantitative and qualitative approaches. Undoubtedly, this integration succeeds because of the research strengths of the editors, leading social researchers who themselves employ both quantitative and qualitative methods' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa and Editor of the SAGE `Quantitative Applications in the Social Sciences' series

`This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey

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

Technik

Dieses eBook wird im PDF-Format geliefert und ist mit einem Adobe DRM-Kopierschutz versehen. Sie können dieses eBook auf vielen gängigen Endgeräten lesen.

Sie können dieses eBook auf vielen gängigen Endgeräten lesen.

Für welche Geräte?
Sie können das eBook auf allen Lesegeräten, in Apps und in Lesesoftware öffnen, die PDF und Adobe DRM unterstützen:

  • tolino Reader
    Öffnen Sie das eBook nach der automatischen Synchronisation auf dem Reader oder übertragen Sie das eBook auf Ihr tolino Gerät mit einer kostenlosen Software wie beispielsweise Adobe Digital Editions.

  • Sony Reader und andere eBook Reader
    Laden Sie das eBook direkt auf dem Reader im eBook.de-Shop herunter oder übertragen Sie das eBook mit der kostenlosen Software Sony READER FOR PC/Mac oder Adobe Digital Editions auf ein Standard-Lesegeräte mit PDF- und Adobe DRM-Unterstützung.

  • Tablets und Smartphones
    Installieren Sie die eBook.de READER App für Android und iOS oder verwenden Sie eine andere Lese-App für PDF-eBooks mit Adobe DRM.

  • PC und Mac
    Lesen Sie das eBook direkt nach dem Herunterladen über "Jetzt lesen" im Browser, oder mit der kostenlosen Lesesoftware Adobe Digital Editions.

Schalten Sie das eBook mit Ihrer persönlichen Adobe ID auf bis zu sechs Geräten gleichzeitig frei.

Bitte beachten Sie: Dieses eBook ist nicht auf Kindle-Geräten lesbar.

Ihr erstes eBook?
Hier erhalten Sie alle Informationen rund um die digitalen Bücher für Neueinsteiger.

EAN: 9781446206911
Untertitel: Sprache: Englisch.
Verlag: SAGE Publications
Erscheinungsdatum: April 2004
Seitenanzahl: 728 Seiten
Format: pdf eBook
Kopierschutz: Adobe DRM
Es gibt zu diesem Artikel noch keine Bewertungen.Kundenbewertung schreiben