It's crucial to differentiate between the population and a sample extracted from it. Distinguishing between the two achieved through "inferential statistics" and sampling lies at the heart of this process.

It all comes down to the capacity in which we manipulate our recruitment - this is the distinction between probability vs. non-probability sampling techniques.

This is the stage of our research where "bias" comes to bite us if we're not careful. Whenever we decide to interfere in the research process, especially this early, we inevitably steer the results in some direction.

The first challege was to present the population vs. sample concept in a non-boring way. I tested different shapes and sizes of "individuals", until I a suitable set was created (all the credit to our designer, Milica).

Also, figuring out the content sequence visualization for sampling techniques. Initially I tried a horizontal display, but quickly realized a different approach is needed. I was in the middle of color testing.

BIas is difficult to present in graphical form, so I tried giving it context to the sampling techniques. We often forget (sometimes intentionally) that multiple forms of bias can appear with each technique.

I had no clue how thie poster would turn out when printed. The first iterations helped us set the overall text/image ratios, line thickness, font sizes, color intensity. It is completely different when seen in physical form.

It is the moment I got introduced to CMYK (print) and RGB (digital) colors and how are they generated. It took us some time to test out and confirm the color pallete, especially in relationship to black and the white space.

With grace and patience of my friends who are printing the posters, this process was painless and quite playful. We tested and tested before gettig to the right size/composition of the poster, including paper weight.

The final version has three segments. The first is all about inferential statistics and the deliniation of population vs. sample, including symbols used for the two groups. that will help you differentiate.

The second part is something that came in the final stages of making this poster. These are different aspects of the population/sample that we should be mindful of before recruitment of our participants

And third, the main sampling techniques with visual descriptions that you can repeatedly turn to. Accompanied by biases below, they ensure you don't forget the main risks when choosing each sampling method.