E-grāmata: Ordinal Measurement in the Behavioral Sciences

A textbook for courses and seminars on psychological measurement at the graduate and upper-undergraduate levels. It offers alternatives to the current models for measuring behavior that are empirical, but based on ordinal rather than interval scale concepts. Annotation c. Book News, Inc., Portland, OR (booknews.com)

This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It is based on the assumptions of ordinal statistics as explained in Norman Cliff's 1996 Ordinal Methods for Behavioral Data Analysis. It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory. Applications of these models can therefore lead to unwarranted inferences regarding the status of the derived variables. These methods can also be difficult to apply, particularly in small-sample contexts without making additional, unrealistic assumptions. Ordinal methods more closely reflect the original data, are simple to apply, and can be used in samples of any size. The book's approach is in essence a return to simple empiricism in psychological measurement.
Ordinal Measurement in the Behavioral Sciences provides:
*methods for analyzing test responses;
*extensive discussions of ordinal approaches to analyzing data that are judgments of stimuli;
*methods for treating psychological data in ways consistent with its ordinal nature so as to stimulate new developments in this area; and
*ordinal test theory and the unfolding methods that are applicable to cross-cultural studies.

Advanced students, researchers, and practitioners concerned with psychological measurement should find this book relevant. Measurement professionals will find it provides useful and simple methods that stimulate thought about measurement's real issues.