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Exploring data : an introduction to data analysis for social scientists /

By: Marsh, Catherine.
Contributor(s): Elliott, Jane (Barbara Jane).
Publisher: Cambridge : Polity, c2008Edition: 2nd ed.Description: xxiii, 304 p. : ill. ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780745622828 (hbk.); 9780745622828:; 0745622828 (hbk.); 0745622836 (pbk.); 9780745622835 (pbk.).Subject(s): Data Interpretation, Statistical | Social sciences -- Statistical methodsDDC classification: 300.15195
Contents:
Distributions and variables -- Numerical summaries of level and spread -- Scaling and standardizing -- Inequality -- Smoothing time series -- Percentage tables -- Analysing contingency tables -- Handling several batches -- Scatterplots and resistant lines -- Transformations -- Causal explanations -- Three-variable contingency tables and beyond -- Longitudinal data.
Summary: This edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, later chapters move on to simple strategies for examining the associations between variables using inferential statistics such as chi squared.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Standard Loan Standard Loan ATU Sligo Yeats Library Main Lending Collection 300.15195 MAR (Browse shelf(Opens below)) 1 Available 0060979
Total holds: 0

Includes bibliographical references and index.

Distributions and variables -- Numerical summaries of level and spread -- Scaling and standardizing -- Inequality -- Smoothing time series -- Percentage tables -- Analysing contingency tables -- Handling several batches -- Scatterplots and resistant lines -- Transformations -- Causal explanations -- Three-variable contingency tables and beyond -- Longitudinal data.

This edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, later chapters move on to simple strategies for examining the associations between variables using inferential statistics such as chi squared.

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