Thanks in advance for your answers.
I have a dataset with 4 columns that has data on the percentage poverty of individual of different generations from different cities.
col1: city
col2: 1st generation % poverty
col3: 2nd generation % poverty
col4: 3rd generation % poverty
I would like to check if there is a significant difference in poverty for the 3 generation groups.
My concern is that I do not know if I should run a one-way ANOVA or a repeated measures ANOVA.
What different information would each test provide?
Thanks
