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Dear all,
I would like to seek some advice regarding the analysis of a Stratified Cluster Sample. I would like to find the association between two variables. Within the 2x2 table, there was an expected count of less than 5. I was told that Fisher's exact test should not be used in such a scenaario. Can you please advice which test should be used instead? Thanks in advance! Alice. ____________________________________________________________________________________ Get your own web address. Have a HUGE year through Yahoo! Small Business. http://smallbusiness.yahoo.com/domains/?p=BESTDEAL |
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Alice,
I am assuming you are using the Complex Sample module in SPSS, and have specified what sampling design was used to collect the data. To your question of which test to use chi-square v. Fisher's exact: the latter should be used because in a 2x2 table if only one cell has an expected frequency of less than 5, one of the assumptions for the chi-square test is violated. SPSS gives you automatically the results of Fisher's test in Crosstab when the analysis is on a 2x2 table. Good luck. Dominic Lusinchi Statistician Far West Research Statistical Consulting San Francisco, California www.farwestresearch.com -----Original Message----- From: Alice P Chiu [mailto:[hidden email]] Sent: Monday, March 05, 2007 2:29 AM Subject: Analysis of a Stratified Cluster Sample Dear all, I would like to seek some advice regarding the analysis of a Stratified Cluster Sample. I would like to find the association between two variables. Within the 2x2 table, there was an expected count of less than 5. I was told that Fisher's exact test should not be used in such a scenaario. Can you please advice which test should be used instead? Thanks in advance! Alice. ____________________________________________________________________________ ________ Get your own web address. Have a HUGE year through Yahoo! Small Business. http://smallbusiness.yahoo.com/domains/?p=BESTDEAL |
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Dear All,
I have several outcome measures. For each DV, I conducted two separate repeated measure ANOVAs. One had A & B as between group variables as well as C as within group variable on each DV. The other had A,B, & D as between group variables as well as C as within group variable on each DV. I found that the main effect of C on DV1 got significant as D was not included into the analysis. Moreover, the main effect of A and the interaction effect between A and C on DV2 got significant as D was not included into the analysis. What do these results mean? What results should I report? Thank you in advance for any help you can offer. Guan |
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