|
Showing 1 - 1 of
1 matches in All Departments
This is the first book to demonstrate the application of power
analysis to the newer more advanced statistical techniques that are
increasingly used in the social and behavioral sciences. Both basic
and advanced designs are covered. Readers are shown how to apply
power analysis to techniques such as hierarchical linear modeling,
meta-analysis, and structural equation modeling. Each chapter opens
with a review of the statistical procedure and then proceeds to
derive the power functions. This is followed by examples that
demonstrate how to produce power tables and charts. The book
clearly shows how to calculate power by providing open code for
every design and procedure in R, SAS, and SPSS. Readers can verify
the power computation using the computer programs on the book's
website. There is a growing requirement to include power analysis
to justify sample sizes in grant proposals. Most chapters are
self-standing and can be read in any order without much
disruption.This book will help readers do just that. Sample
computer code in R, SPSS, and SAS at
www.routledge.com/9781848729810 are written to tabulate power
values and produce power curves that can be included in a grant
proposal. Organized according to various techniques, chapters 1 - 3
introduce the basics of statistical power and sample size issues
including the historical origin, hypothesis testing, and the use of
statistical power in t tests and confidence intervals. Chapters 4 -
6 cover common statistical procedures -- analysis of variance,
linear regression (both simple regression and multiple regression),
correlation, analysis of covariance, and multivariate analysis.
Chapters 7 - 11 review the new statistical procedures --
multi-level models, meta-analysis, structural equation models, and
longitudinal studies. The appendixes contain a tutorial about R and
show the statistical theory of power analysis. Intended as a
supplement for graduate courses on quantitative methods,
multivariate statistics, hierarchical linear modeling (HLM) and/or
multilevel modeling and SEM taught in psychology, education, human
development, nursing, and social and life sciences, this is the
first text on statistical power for advanced procedures.
Researchers and practitioners in these fields also appreciate the
book's unique coverage of the use of statistical power analysis to
determine sample size in planning a study. A prerequisite of basic
through multivariate statistics is assumed.
|
You may like...
Barbie
Margot Robbie, Ryan Gosling
Blu-ray disc
R266
Discovery Miles 2 660
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.