RCBD with Single Factor. Stats Design & Analysis Web Guide (DAWG), University of Tennessee

Randomized Complete Block Design
Single Factor

Check that your experimental setup comforms to a
Randomized Complete Block Design with a Single Factor

You have a RCBD experimental design if all of your experimental units are similar to each other. There is no variable that you can identify that makes some different from others. There is no variation to block on.

You have a single factor treatment design (or no treatment design), if you consider your treatments to not be divisible into factors. The treatments are all "just treatments".

Plant example: You are applying treatments to plots (experimental units), and all plots are similar in moisture, soil type, slope, fertility, etc.(this makes it a RCBD). You have 5 levels of nitrogen fertilizer, that are all representative of the same single factor (nitrogen).

Animal example: You are applying treatments to animals (experimental units), and all animals are similar in weight, age, breed, etc. (this makes it a RCBD). You have 4 protein level diets, that are all representative of the same single factor (protein). In particular, the 4 diets are not created by combining protein source and amount (i.e. 2 factors).

Begin SAS Analysis: RCBD with Single Factor

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