Some non‐parametric tests for analysing ranked data in multi‐group repeated measures designs
作者:
Barry M. Katz,
Maryellen McSweeney,
期刊:
British Journal of Mathematical and Statistical Psychology
(WILEY Available online 1983)
卷期:
Volume 36,
issue 1
页码: 145-156
ISSN:0007-1102
年代: 1983
DOI:10.1111/j.2044-8317.1983.tb00770.x
出版商: Blackwell Publishing Ltd
数据来源: WILEY
摘要:
This paper develops two statistical techniques for analysing ranked data. The first technique can be used in designs in whichcindependent groups of subjects are asked to rank orderpobjects with respect to a specified criterion. An explicit statement of a statistic which can be used to determine whether differences in ranking patterns exist between the groups is presented together with associatedpost hocprocedures. The statistic is a generalization of a technique developed by Hollander&Sethuraman (1978). The second technique developed can be used in designs in which subjects incindependent groups are each asked to rank order a set ofpitems with respect to a certain criterion underqdifferent conditions of ranking. An explicit statement of a statistic which can be used to test the groups by items by conditions three‐way interaction hypothesis is presented together with an analysis strategy for testing the other effects of interes
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