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From |
Richard Williams <Richard.A.Williams.5@ND.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Chi-square test for Categorical Data Analysis |

Date |
Tue, 18 Sep 2007 18:54:21 -0500 |

At 04:00 PM 9/18/2007, Maarten buis wrote:

Actually, since it is a 2 by 2 table, you can do a z-test with a signed effect. See case II of> Second question - does the chi-square test convey any additional > information other than the fact that the distributions are different? > That is, since only the number of observations in each group is being > tested, can I, for example, conclude that Group A is making > significantly more income than Group B? No, the Chi-square test just says that these distributions are different. Again -intreg- will give you more meaningfull output.

http://www.nd.edu/~rwilliam/stats1/Categorical-Stata.pdf

But note: this would just say that one group had significantly more people above the median than the other group did. That isn't necessarily the same as one group making significantly more money. For example, one group might have relatively few people above the median, but those people could be really really really rich. Or, there might be no significant differences in % above the median, but the above average people in one population could be a lot richer than the above average people in the other population.

In the Stata reference manual for intreg, it gives an example along the lines of what Martin later suggests, i.e. log the endpoints of income.

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Richard Williams, Notre Dame Dept of Sociology

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**References**:**st: Chi-square test for Categorical Data Analysis***From:*"Hugh Colaco" <hmjc66@gmail.com>

**Re: st: Chi-square test for Categorical Data Analysis***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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