Help with Experimental Design

We can help you with the different types of Experimental Design that you may need for planning experiments, pseudo-experiments or any kind of data collection project involving using a certain methodological approach.

Applying an appropriate experimental design and following a correct methodology can be the difference between success and failure. If you choose the wrong experimental design or choose the wrong methodology, regardless of the quality of the data analysis, the results won't be valid most likely.

Being able to choose the proper experimental design requires expertise, and it better be done right because otherwise it will jeopardize the validity of the results obtained.

We can guide you with the experimental design choice and with finding and using the correct methodology, ensuring that soundness of the experimental structure.

What do experimental designs help to understand?

Experimental design is a methodology that allows to structure the way data will be collected for a study and how the data will be analyzed and what type of conclusions are expected to be drawn.

Having a strong experimental design is the key to a successful and useful study. No matter how good your data analysis capabilities are, there is nothing productive data analysis can do with a deficient experimental design.

Designing a proper experimental design is crucial for the success of your research, and our statistical consultants can help you with that.

Is experimental design difficult?

Experimental design is not a difficult concept, but its implementation may pose some difficulties in order to be done right, as the setup needs to avoid or reduced to the maximum degree all possible sources of bias.

The difficulty comes from the fact that a theoretical experimental design in which all sources of bias are removed is virtually impossible to achieve in real life.

That is why there are many palliative experimental designs, such as a quasi-experimental design that can have a practical use in most case and our statistics experts can help you with that.

What is the main goal of experimental design?

The main goal of experimental design is to provide a design for data collection and data analysis in which most or all of the potential sources of bias are removed or limited.

There are traditional designs that are well known to be effective, such as a blocked randomized design, latin cubes, repeated measures designs, just to mention a few.

All these design options have their specific needs and difficulties, and they all condition the type of data analysis you need to conduct, and a that point, the help of a statistical consultant can prove to be invaluable.

How do you benefit from getting the proper Experimental Design

Using expert experimental design assistance can give you access to expertise to enhance validity, derive strategic insights, which lead to powerful results and discoveries.

• Methodological Rigor - Experts ensure appropriate experimental methods like randomized control trials, factorial designs etc.
• Strategic Testing - Design tests to gain targeted insights and optimize outcomes.
• Error Checking - Avoid issues like carryover effects or coercion that undermine validity.
• Credible Evidence - Well-designed studies provide causal evidence and influential findings.