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Statistical power analysis for the s...
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Liu, Xiaofeng Steven.
Statistical power analysis for the social and behavioral sciencesbasic and advanced techniques /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Statistical power analysis for the social and behavioral sciencesXiaofeng Steven Liu.
Reminder of title:
basic and advanced techniques /
Author:
Liu, Xiaofeng Steven.
Published:
New York :Routledge,2014.
Description:
xvi, 378 p. :ill.
Subject:
Social sciencesStatistical methods.
Online resource:
Click here to view
ISBN:
9780203127698 (e-book : PDF)
Statistical power analysis for the social and behavioral sciencesbasic and advanced techniques /
Liu, Xiaofeng Steven.
Statistical power analysis for the social and behavioral sciences
basic and advanced techniques /[electronic resource] :Xiaofeng Steven Liu. - New York :Routledge,2014. - xvi, 378 p. :ill.
1. Introduction -- 2. Statistical power -- 3. Power of confidence interval -- 4. Analysis of variance -- 5. Linear regression -- 6. Multivariate analysis -- 7. Multi-level models -- 8. Complex multi-level models -- 9. Meta-analysis -- 10. Structural equation models -- 11. Longitudinal studies.
"This will be the first book to demonstrate the application of power analysis to the newer more advanced techniques such as hierarchical linear modeling, meta-analysis, and structural equation modelling that are increasingly popular in behavioral and social science research"--
Mode of access: World Wide Web.
ISBN: 9780203127698 (e-book : PDF)Subjects--Topical Terms:
182009
Social sciences
--Statistical methods.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HA29 / .L83185 2014
Dewey Class. No.: 300.727 / L783
Statistical power analysis for the social and behavioral sciencesbasic and advanced techniques /
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Statistical power analysis for the social and behavioral sciences
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basic and advanced techniques /
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1. Introduction -- 2. Statistical power -- 3. Power of confidence interval -- 4. Analysis of variance -- 5. Linear regression -- 6. Multivariate analysis -- 7. Multi-level models -- 8. Complex multi-level models -- 9. Meta-analysis -- 10. Structural equation models -- 11. Longitudinal studies.
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