Adjustments to the Pearson and Mantel-Haenszel Chi-squared tests for data from complex surveys

Weerasekera, D. R.

dc.contributor.author	Weerasekera, D. R.
dc.date.accessioned	2022-07-04T09:18:08Z
dc.date.available	2022-07-04T09:18:08Z
dc.date.issued	1990
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/6815
dc.description.abstract	The usual chi-squared testing procedure to test independence between variables in two-way contingency tables assumes that the observations are independent or come from simple random sampling. This assumption is invalid for data from complex survey designs, and hence some adjustments to this test have been developed in the recent past.	en_US
dc.language.iso	en	en_US
dc.publisher	Faculty of Science, University of Colombo	en_US
dc.title	Adjustments to the Pearson and Mantel-Haenszel Chi-squared tests for data from complex surveys	en_US
dc.type	Thesis	en_US