怎样避免卡方检验的"局限"

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vanessa119074

各位老师,上午好. 我想在这里说一下我的困惑. 希望能得到帮忙.
我最近在写一篇论文,正好用到SPSS中卡方检验. 但是卡方对小于5的数值的检验并不合适, 我不知到该如何处理这种情况.
 
回复: 怎样避免卡方检验的"局限"

Use Fisher's Exact test instead if the expected value of a cell is less than 5. Fisher's Exact test computes the exact significance level. Check your SPSS manual for how to do this.
 
回复: 怎样避免卡方检验的"局限"

Log likelihood ratio is preferred to chi-sqaure test.
 
回复: 怎样避免卡方检验的"局限"

Log likelihood ratio compares the full range of the data and chi-sqaure basically the two ends of the data.
 
回复: 怎样避免卡方检验的"局限"

Just tried it. It's really convenient! Thanks a lot!
 
回复: 怎样避免卡方检验的"局限"

An LL test is accepted as more reliable than chi-shquared tests in the corpus field as an LL test, unlike a chi-square test, does not assume normal distribution of data. However, a minimum of 5 for expected cell value also applies as for chi square tests, in which case an exact test is recommended.
 
回复: 怎样避免卡方检验的"局限"

作者 julia2006:
I tried. it's so nice， but is it widely accepted?
Click to expand...
Mathematic justification of the reliability of LL in corpus linguistic studies can be found in Paul Rayson's PhD thesis
Rayson, P. (2003). Matrix: A statistical method and software tool for linguistic analysis through corpus comparison. Ph.D. thesis, Lancaster University.
Available at:http://lingo.lancs.ac.uk/llwizard.html
 
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