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I am conducting an analysis of a survey about the quality of healthcare received by futre mothers in a maternity clinic. My variable is the number of times (observed frequencies) that future mothers have provided a compliment about the maternity services. I am using the Chi Square goodness of...

Hello Hannah, I would take the most simple yet robust and sufficient approach. It sounds to me that clustering (see comments bellow) would be an excellent one, as staassis mentioned. Following by ANOVA would be a sound strategy. You may want to consider hierarchical clustering, which should work...

I also use random samples in 99% of cases, and as a very last resort consider the alternatives, with reluctance of course. Find it hard to accept some participants will have a greater chance to be selected than others, it is just really unfair :D

It is not the clearest text I've read. But what I understand is that, as you increase your random sample, it becomes more representative of the population. In other words it becomes much more like it, it becomes like a mirror of it that becomes sharper and sharper as you increase the sample...

Agreed, sometimes I have seen studies that rely on stratified, cluster samples, among others. Thanks for your comments. Kind regards Ramon

Hi Karabiner Many thanks for your message. I would like to get back to your point about random sampling not being absolutely necessary for t tests or z tests in this case. Do you have any literature / sources to share? The Statistics books I've checked claim that using a t test to compare two...

Hello everybody and thanks for reading :) PROBLEM: A survey was sent out to the male and female participants of a charity-ran program implemented in China, Congo, and Egypt. Among others, the survey monitored whether participants had a positive impression of the program (with possible answers...