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Introduction to power analysis : two-group studies / E.C. Hedberg
Books/Textual Material | Sage Publications, Inc. | 2018
Available at Gumberg 2nd Floor (QA277 .H43 2018)
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Gumberg 2nd Floor QA277 .H43 2018 AVAILABLE
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Imprint
Thousand Oaks, California : Sage Publications, Inc., [2018]
Descript
xvii, 138 pages ; 22 cm.
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Series
Bibliog.
Includes bibliographical references and index.
Contents
The what, why, and when of power analysis -- Statistical distribution -- General topics in hypothesis testing and power analysis when the population standard deviation is known : the case of two group means -- The difference between two groups in simple random samples where the population standard deviation must be estimated -- Using covariates when testing the difference in sample group means for balanced design -- Multilevel models I : testing the difference in group means in two-level cluster randomized trials -- Multilevel models II : testing the difference in group means in two-level multisite randomized trials -- Reasonable assumptions -- Writing about power -- Conclusions, further reading, and regression.
Summary
Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy. --! From back cover.
Subject
ISBN
9781506343129 (paperback)
1506343120 (paperback)
MARC
OCoLC
20180531044304.0
171006s2018 caua b 001 0 eng cam i
993691230
DLC eng rda DLC OCLCF OCLCO AAA YDX YDX OCLCO BTCTA BDX NRC KSU ICW CHVBK OCLCQ OCLCO UPM DUQ
(OCoLC)1005779063 (OCoLC)993691230
DUQQ kem
pcc
Isadore R. Lenglet Collection of Management and Business cop. 1
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