This is a title in our Understanding Statistics series, which is
designed to provide researchers with authoritative guides to
understanding, presenting and critiquing analyses and associated
inferences. Each volume in the series demonstrates how the relevant
topic should be reported -- including detail surrounding what can
be said, and how it should be said, as well as drawing boundaries
around what cannot appropriately be claimed or inferred.
This volume addresses reliability, which is a fundamental aspect of
any social science study that involves educational or psychological
measurement. It not only has implications for the quality of test
scores themselves,
but also any statistical analysis conducted using those scores.
Topics addressed in this book include cover three different types
of reliability methods and appropriate standard errors of
measurement: classical test theory methods, decision consistency
indices, and generalizability theory coeffcients. After a brief
introduction to the topic, the author outlines how to report
reliability in professional journal articles. Meyer is known for
his clear, accessible writing; like all books in this series, this
volume includes examples of both good and bad write-ups for methods
sections of journal articles.
General
Imprint: |
Oxford UniversityPress
|
Country of origin: |
United States |
Series: |
Understanding Statistics |
Release date: |
September 2010 |
First published: |
April 2010 |
Authors: |
Patrick Meyer
|
Dimensions: |
208 x 141 x 14mm (L x W x T) |
Format: |
Paperback
|
Pages: |
160 |
ISBN-13: |
978-0-19-538036-1 |
Categories: |
Books >
Medicine >
Other branches of medicine >
Clinical psychology >
General
|
LSN: |
0-19-538036-3 |
Barcode: |
9780195380361 |
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