- Thread starter pinkcloud35
- Start date

What do you want to know from your analysis? You just told us that you have a variable with 25 observations, and another variable with 6 observations. It is even unknown wether these are 31 different respndents.

With kind regards

Karabiner

With kind regards

Karabiner

I just want to know whether a product is effective. All of the questions relate to satisfaction/ effectiveness of the product and they have been asked to strongly agree, agree, disagree, strongly disagree.

I can see this by looking at the numbers on bar charts but want to know if it's statistically significant.

So you want to compare what group A said in terms of questions a, b, c about product X

with what group B said in terms of questions d, e, f about product X ? Since you have different

measures, I don't know what sense this should make.

With kind regards

Karabiner

with what group B said in terms of questions d, e, f about product X ? Since you have different

measures, I don't know what sense this should make.

With kind regards

Karabiner

Thank you

No I don't want to compare the groups with each other. I would like to see if each response in itself is statistically significant compared with the number of other responses within each individual question.

Thank you

Thank you

With kind regards

Karabiner

This is still not quite clear to me. Could you explain this a bit further, or give some example?

With kind regards

Karabiner

With kind regards

Karabiner

Responses are:

Strongly agree - 13

Agree - 11

Disagree - 1

Strongly Disagree - 0

Can I statistically say that the product is easy to use i.e. the agree answers are significant?

It looks obvious that the majority says yes but some questions are not so clear cut.

Thanks

answers you would generally consider as a favourable evaluation of a product.

Something like: "I consider it as a positive evaluation if more than 66% [or 80%,

or 50%...whatever] say it is easy to use". If such a benchmark is identified, then you

can make a test of significance. The test would indicate whether in your sample the

rate positive responses is high enough to assume that it is > 66% in the population.

Statistical tests of signficance do not tell you whether something is "signficant" in the

sense of relevant, important, large.

With kind regards

Karabiner