Hmm. Well it sounds like you have a survey. Questions on surveys can collect quantitative data (numbers) or qualitative data (words).

Quantitative data can be analyzed a number of ways. Descriptive statistics such a percentages or statistical analysis like T-tests, ANOVA or MANOVAs etc. It really depends on what the actual question is.

Qualitative data otherwise known as natural language data or text data can be analyzed utilizing a number of methods. One example, Raven's Eye offers an automated method of quantitative phenomenology.

Hope this helps.

https://ravens-eye.net

You can do an ANOVA analysis ans multivariate test (SNK , duncan) to test the diference between different environments or you can do PCA to classify environments

Thanks very much Naceur!!

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Many thanks!!

necessarily depends on the purpose of research, for example. If you want your problem demonstrate the existence research purposes, so this would be an experimental paradigm, therefore ANOVA, T test, among others depending on the quality of the data.

In the case of seeking relationship between survey responses and other evidence, such a paradigm associative, so depending on the quality of the data or types of variables, you could apply: correlation of pearson or spearman or kendall among others.

Question lacks precision necessary to respond. What research design generated the survey data, by what means were the data collected, what were eligibility criteria (include, exclude) and what was (were) the principal hypothesis?

Besides ANOVA, T-statistics and descriptive statistics may be used in case of Survey based papers.

The question is incomplete!

would you not use a paired analysis or repeated measures if this is the same sample, maybe I'm wrong, good luck with this

Deborah, the problem is not with your response, but the question. I still wonder what this question means? Where is the hypothesis? What is the outcome? what type of data? etc etc. There are numerous ways to analyse survey data and several tests can be used.

yes ? is a bit vague as example; say with pedometer survey data such as the global children's challenge program where school kids all over the world use pedometers in select classes at school http://www.phaa.net.au/documents/November12.pdf see page 13. when comparing similar age children - you have different environments, climates and geographical locations but in this case they apparently get a class average of step counts/ day over 50 days and then compare the class means from all over the world. However the question above does not really explain whether it is something like this, or is it the actual same group identical people moved to a different environment or is it the similar age group but actually different people but it sounds like the same person put into a different enviromental condition so if you are analysing daily steps the same person in a different environment may take a markedly different number of steps under different temperature and weather conditions and if this was a survey the whole sample also may dffer, sorry this is a rushed response I am late for where I am gonig in 5 mins but I was just trying to illustrate my understanding and I think it needs a bit more clarification.

Hmm. Well it sounds like you have a survey. Questions on surveys can collect quantitative data (numbers) or qualitative data (words).

Quantitative data can be analyzed a number of ways. Descriptive statistics such a percentages or statistical analysis like T-tests, ANOVA or MANOVAs etc. It really depends on what the actual question is.

Qualitative data otherwise known as natural language data or text data can be analyzed utilizing a number of methods. One example, Raven's Eye offers an automated method of quantitative phenomenology.

Hope this helps.

https://ravens-eye.net