I'm searching for the most appropriate and simplest analysis to statistically test for differences among 3 groups ("Type1", "Type2", "Type3") of individuals (N=75) according to their answers to a set of 30 questions - the questions are of the type "Do you have any knowledge about topic XYZ?", which are answered Y/N - asked to each individual. In detail, the set of questions is comprised of 3 groups of topics, so there are 3 topic-classes, each with 10 questions. The hypothesesis to be tested are (I) overall knowledge, which could be quantified by summing Y in each "Type", is different among Types - (II) the "kind of knowledge", quantified by the sum of Y-answers within each "topic-class", is different among "Types". The sample is a random sample from a population of about 1000 teachers. Thanks in advance!
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$\begingroup$ What are the research questions you wish to answer? $\endgroup$– Penguin_KnightJan 6, 2016 at 21:47
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$\begingroup$ Sorry, I was just about to elaborate more on the design and hypothesis! Please see the updated Q. $\endgroup$– KayJan 6, 2016 at 21:58
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$\begingroup$ You say that this is a survey dataset. Before anyone can provide you with a reliable answer, you'll need to describe the survey a bit more. How was the sample drawn for this survey? Can you tell us more about how the sampling and survey was actually carried out? $\endgroup$– StatsStudentJan 6, 2016 at 22:49
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$\begingroup$ It is a random sample. $\endgroup$– KayJan 7, 2016 at 6:57
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