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Analyzing single system design data
~
Nugent, William R.
Analyzing single system design data
Record Type:
Electronic resources : Monograph/item
Title/Author:
Analyzing single system design data/ William R. Nugent.
Author:
Nugent, William R.
Published:
New York ;Oxford University Press, : 2009.,
Description:
xiii, 169 p. :ill. ; : 21 cm.;
Subject:
Social sciences - Statistical methods. -
Online resource:
http://dx.doi.org/10.1093/acprof:oso/9780195369625.001.0001
ISBN:
9780195369625
Analyzing single system design data
Nugent, William R.
Analyzing single system design data
[electronic resource] /William R. Nugent. - New York ;Oxford University Press,2009. - xiii, 169 p. :ill. ;21 cm.
Includes bibliographical references and index.
Covering the visual, graphical, and statistical analysis of data from single-case studies, this book offers a much more comprehensive coverage of the range of data analysis methods than is contained in any other books on the topic for social workers.
Electronic reproduction.
Oxford :
Oxford University Press,
2010.
(Oxford Scholarship Online).
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher).
ISBN: 9780195369625 Subjects--Topical Terms:
73429
Social sciences
--Statistical methods.
LC Class. No.: HA29
Dewey Class. No.: 519.5
Analyzing single system design data
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Analyzing single system design data
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[electronic resource] /
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William R. Nugent.
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New York ;
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2009.
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Oxford University Press,
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xiii, 169 p. :
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ill. ;
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21 cm.
504
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Includes bibliographical references and index.
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Covering the visual, graphical, and statistical analysis of data from single-case studies, this book offers a much more comprehensive coverage of the range of data analysis methods than is contained in any other books on the topic for social workers.
533
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Electronic reproduction.
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Oxford :
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Oxford University Press,
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2010.
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(Oxford Scholarship Online).
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Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher).
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Available as searchable text in HTML format.
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Access restricted to subscribing institutions.
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Social sciences
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Statistical methods.
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http://dx.doi.org/10.1093/acprof:oso/9780195369625.001.0001
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