Understanding Measurement: Reliability (Paperback)

Paperback. 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 testscores 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, accessiblewriting; like all books in this series, this volume includes examples of both good and bad write-ups for methods sections of journal articles. This volume guides its reader through the basics of reliability, with an emphasis on what and how to include relevant information in the methods and results sections of professional papers. The author offers examples of good and bad write-ups. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…