1.

Record Nr.

UNINA9910760401003321

Autore

Meyer J. Patrick

Titolo

Reliability / / J. Patrick Meyer

Pubbl/distr/stampa

Oxford University Press, 2010

Oxford : , : Oxford University Press, Incorporated, , [2010]

©2010

ISBN

9786612706837

1-282-70683-7

0-19-970158-X

0-19-984791-6

Descrizione fisica

1 online resource (148 pages) : illustrations

Collana

Series in understanding statistics. Measurement

Altri autori (Persone)

SchaferWilliam D

Disciplina

150.287

Soggetti

Psychometrics

Psychological tests - Evaluation

Educational tests and measurements - Evaluation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from title screen (viewed on Jan. 31, 2003).

Distributed to depository libraries in microfiche (1 microfiche), shipping list no.: 2003-0085-M.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

CHAPTER 1 INTRODUCTION -- CHAPTER 2 DATA COLLECTION DESIGNS -- CHAPTER 3 ASSUMPTIONS -- CHAPTER 4 METHODS -- CHAPTER 5 RESULTS -- CHAPTER 6 DISCUSSION AND RECOMMENDED READINGS -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W.

Sommario/riassunto

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.