Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Ordinal Methods for Behavioral Data Analysis

by Norman Cliff
Save 35% Save 35%
Current price ₹4,441.00
Original price ₹6,831.00
Original price ₹6,831.00
Original price ₹6,831.00
(-35%)
₹4,441.00
Current price ₹4,441.00

Imported Edition - Ships in 12-14 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9781138977631
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Taylor & Francis
  • Publisher Imprint: Psychology Press
  • Publication Date:
  • Pages: 212
  • Original Price: GBP 52.99
  • Language: English
  • Edition: N/A
  • Item Weight: 326 grams
  • BISAC Subject(s): Research & Methodology and Methodology

This book was written with the belief that ordinal statistical methods--sometimes discussed under the title of "nonparametric statistics"--deserve much more serious attention as research tools than they have traditionally had. There are three classes of reasons for this:
*Many behavioral variables constitute only ordinal scales, not interval measurements that are required for traditional statistics.
*Various research issues that are of primary interest in behavioral research are themselves questions about order: Which group scores higher? Is the order on this variable similar to the order on that?
*Inferences from ordinal statistics are less subject to distributional peculiarities of the data than are those from traditional statistics.

Taking an innovative approach, this book treats ordinal methods in an integrated way rather than as a compendium of unrelated methods, and emphasizes that the ordinal quantities are highly meaningful in their own right, not just as stand-ins for more traditional correlations or analyses of variance. In fact, since the ordinal statistics have desirable descriptive properties of their own, the book treats them parametrically, rather then nonparametrically. The author discusses how ordinal statistics can be applied in a much wider set of research situations than has usually been thought, and that they can often come closer to answering the researcher's primary questions than traditional ones can. And he includes some extensions of ordinal methods in order to accomplish that end.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us