Home » Ordinal Measurement in the Behavioral Sciences
Product Image

Ordinal Measurement in the Behavioral Sciences

Norman Cliff | John A. Keats
€179.80
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=John A. Keats
A01=Norman Cliff
Author_John A. Keats
Author_Norman Cliff
Average Tau
Category=JMAL
Category=JMBT
Circular Triad
CMT
conjoint
cross-cultural assessment
dichotomous
Dichotomous Items
Dichotomous Scoring
dominance
dominance analysis
Dominance Order
Dominance Relations
empirical measurement methods
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Integral Scores
IRT
IRT Model
ITC Guideline
item
Item Scores
items
Kendall's Concordance Coefficient
Net Wins
Number Correct Scores
ordinal data analysis in psychology
polytomous
Polytomous Items
Polytomous Scoring
psychometric analysis
Rank Order Correlation
relation
response
Scientific Scales
scores
Single Elimination Tournament
test response modeling
theories
Total IQ
unfolding model
Verbal IQ
Vice Versa
War Time

Product details

  • ISBN 9780805820935
  • Weight: 600g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Nov 2002
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Description

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.

More from this author