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Graphing data : techniques for display and analysis

Author: Gary T Henry
Publisher: Thousand Oaks, Calif. : Sage Publications, ©1995.
Series: Applied social research methods series, v. 36.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"How can applied researchers present and analyze their research data more effectively? By using the techniques described in this volume, social scientists will be able to make their data more accessible to nontechnical audiences. This book is packed with examples that illustrate the characteristics of effective graphical displays of data and provides solid techniques for producing graphs. Graphing Data begins with a  Read more...
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Additional Physical Format: Online version:
Henry, Gary T.
Graphing data.
Thousand Oaks, Calif. : Sage Publications, ©1995
(OCoLC)621501056
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Gary T Henry
ISBN: 0803956746 9780803956742 0803956754 9780803956759
OCLC Number: 30893994
Description: vi, 161 pages : illustrations ; 23 cm.
Contents: Applied Research and the Use of Graphical Displays --
Graphical Competence --
Data Summaries: Parts of a Whole --
Displaying Multiple Units --
Trends --
Graphical Complements for Correlation and Regression --
Graphical Complements for T-Tests and Analysis of Variance --
Achieving Graphical Competence.
Series Title: Applied social research methods series, v. 36.
Responsibility: Gary T. Henry.
More information:

Abstract:

"How can applied researchers present and analyze their research data more effectively? By using the techniques described in this volume, social scientists will be able to make their data more accessible to nontechnical audiences. This book is packed with examples that illustrate the characteristics of effective graphical displays of data and provides solid techniques for producing graphs. Graphing Data begins with a discussion of what has been learned from the visual perception research that relates to graphing data. It then explores the analysis tasks that apply most often: the use of graphs for data summarization, the display of multiple units, ways to improve tabular displays, graphical alternatives to tables, two-variable scatterplots as graphical support for correlation and regression, how to show variation and summary statistics together, and how to create more effective legends and titles on graphical displays"--Publisher description.

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