Analyzing Tabular Data

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A01=Nigel Gilbert
Author_Nigel Gilbert
Category=GPS
Cell Frequencies
Data Table
Design Subcommand
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Event History Analysis
Explanatory Variables
Extramarital Sex
Follow
Forward Selection
Hold
Log Odds Ratio
Logistic Models
Loglinear Analysis
Loglinear Models
Lower Order Relatives
Marginal Table
Model Table
Ordinal Scale
Partial Tables
Party Identification
Pre-marital Sex
Premarital Sex
Quasi-independence Model
Saturated Model
Table Total
UK Population

Product details

  • ISBN 9781032195407
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Feb 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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First published in 1993, Analyzing Tabular Data is an accessible text introducing a powerful range of analytical methods. Empirical social research almost invariably requires the presentation and analysis of tables, and this book is for those who have little prior knowledge of quantitative analysis or statistics, but who have a practical need to extract the most from their data. The book begins with an introduction to the process of data analysis and the basic structure of cross-tabulations. At the core of the methods described in the text is the loglinear model. This and the logistic model, are explained and their application to causal modelling, to event history analysis, and to social mobility research are described in detail. Each chapter concludes with sample programs to show how analysis on typical datasets can be carried out using either the popular computer packages, SPSS, or the statistical programme, GLIM. The book is packed with examples which apply the methods to social science research.

Sociologists, geographers, psychologists, economists, market researchers and those involved in survey research in the fields of planning, evaluation and policy will find the book to be a clear and thorough exposition of methods for the analysis of tabular data.

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