Is using a similar experimental procedure and analysis structure to test something different considered plagiarism? Here is the situation: 

I am currently writing a thesis which uses a behavioral experiment to answer the main research question. Its main aim is to test how a certain welfare scheme would affect taxpayer behaviour, and thus relates to a very broad strain of literature on taxpayer behaviour. I have found a paper which uses (in my opinion) a very clever experimental procedure to test how behaviour is affected by the way taxes are used. Therefore I decided to use this experimental procedure and adapt it to the specific welfare scheme I am interested in so I can use it to answer my research question. 

Currently I am in the progress of writing my thesis and was wondering where the line ends from building on previous work and plagiarism. Because the experimental procedure is similar in it's structure, the model used for the formulation of my hypothesis is also an adapted version of the model in the original paper. Consequently, the data I have also takes a similar form, which will result in taking similar steps for a correct analysis of this data. 

So, would it be considered plagiarism if I have adapted an already existing experimental procedure, adapted the (mathematical) model previously used to formulate hypothesis, and use a similar structure of hypothesis testing (that is: first using statistical test A, then B, then C, etc on my own data)?  

I have obviously referenced a great deal to this original paper, and even explained why I think the experimental procedure is so good and fitting for answering my question. Obviously, I am using my own wording and data, but was wondering if something like this can be seen as 'structure plagiarism' or is something desirable as it can be used for direct comparison of the papers.
You are only building on the shoulders of giants, there is nothing wrong with that, as long as you cite the sources. Your hypothesis and your data are original, you are only applying a method that has the advantage of having been validated in the literature.
This might make your work less original, but what is the point of developing a new statistical analysis if a perfectly fitting one already exists?