The SEI is an indicator of economic and socio-economic attainment: The higher the SEI score, the more successful the respondent.Ĭan a person's astrological sign predict their socioeconomic success? Yes No Test this assumption with the GSS2008 data by analyzing the relationship between respondent's astrological sign (ZODIAK) with respondent's socioeconomic index (SEI). Read the PSPP anova Lecture for step-by-step help.Īstrologers assert that our birth dates influence our success (or lack thereof) in life. NB: You might have noticed that the site:treatment post-hoc tests doesn't show any significance, this is because I only selected a small sample from the original data.Go to: Analyze>Compare Means>One-Way ANOVA But I don't want my result from anova to be biased by those! (It happens in the real data that the significance actually caused by those unwanted pairs!) Is there any way that I can tweak the aov or TukeyHSD function to exclude those possibilities ('not wanted' ones) I listed above? I could easily select the significant entires that I am interested (with *) from the long list produced from TukeyHSD. However, there are some pairs I don't want to be included in the two-way ANOVA which I preformed, specified as # not wanted. Next step is to use TukeyHSD post-hoc test to see actually which pair caused the * significance in site factor. I did a two-way ANOVA (also not sure whether to use within subject site/treatment or between subject site*treatment.), and summarised the results. control-B, control-A VS.control-C, treated-A VS.treated-C, etc.), while excludes comparisons between different sites and different treatments(e.g., pairs such as control-A VS. Specifically, I want to do a pair-wise test among all the site under each same treatment (e.g. I have datTable contain proportion data under two factor site (four levels: A, B, C, D) and treatment(two levels: control and treated). I would like to know the way to exclude all the unwanted pairs from the output generated from two-way ANOVA, so when there shows a significant result from summary(aov()), the post-hoc test won't give me any comparisons I don't want. ![]() I have asked about this already on stats.exchange ( original question), now I re-posted the same content here - hoping to get help from a wider population.
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