Adjusted chi-squared tests for cross-classified tables of survey data

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


SUMMARY: Holt, Scott & Ewings (1980) propose a modified Pearson X2 statistic for testing independence in a two-way table of survey data. It is shown that the multiplier of X2 needed for this modification is a weighted sum of cell and marginal cell design effects. A similar adjustment of the X2 and G2 statistics is possible whenever log linear models with closed form estimates are fitted to a cross-classified table of survey data.

Original languageEnglish (US)
Pages (from-to)591-595
Number of pages5
Issue number3
StatePublished - Dec 1983
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics


Dive into the research topics of 'Adjusted chi-squared tests for cross-classified tables of survey data'. Together they form a unique fingerprint.

Cite this