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From |
"Hugh Colaco" <[email protected]> |

To |
statalist <[email protected]> |

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

Date |
Tue, 18 Sep 2007 16:40:25 -0400 |

Dear Statalisters, I am working on some data from a survey and have a question about the chi-square test. I have 2 cohorts - lets call them A and B. Assume N=100 for A and N=50 for B. Participants were asked about their income level and had to choose one from below. Assume the income ranges are:- $0 - $25,000 $25,001 - $50,000 $50,001 - $100,000 $100,001 - $150,000 $150,001 - $200,000 $200,001 - $500,000 $500,001 or more Rather than report so many income ranges, I would now like to report just two, based on the median of all 150 participants. So, I will have 4 groups in all (i.e. Group A below median income, Group A equal to or above the median income, Group B below median income, Group B equal to or above the median income). I would like to then run a chi-square test to see if there is a difference in the distributions. Is this valid? 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? Finally, can somebody give me a good reference for the chi-square test for categorical data analysis? Thanks in advance, -- Hugh * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Chi-square test for Categorical Data Analysis***From:*"Austin Nichols" <[email protected]>

**Re: st: Chi-square test for Categorical Data Analysis***From:*Maarten buis <[email protected]>

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