jamovi

Hi. Do you know any module where we can analyze RCBD(randomized complete block design) and Latin Square type of experiments? I kinda need it for my students' researches. Thank you so much.

Also if you know fractional factorial designs analysis I would be happy to use that too.

does the Randomizer module do what you want?

jonathon

No it just gives me the randomized experiment runs, but not the anova (the one I need)

'Randomized complete block design,' ' Latin Square type of experiments,' and 'fractional factorial designs,' have to do with how an experiment is designed. They are not analyses.

Such designs are typically analyzed using routines such as t tests and ANOVAS, which are built into jamovi.

Then how do I analyze these? The way it provides me the proper model and anova I need?

Example: A Latin square was used counterbalance the order in which each of six participants experienced Condition A, Condition B, and Condition C. Each participant produced a response in each of the three conditions. The data are shown below.
An appropriate analysis to assess the relationship between Condition (A, B, or C) and Response, would be a one-factor repeated-measures ANOVA.

So I will just use one factor? Isn't that erroneous? I want blocking to be considered in my calculations. I know CRD can just do one way anova, but RCBD and Latin Squares can't be done with jamovi's features.

*If* you want to include an assessment of the effect of Condition Order (i.e., an assessment of the effect of the "blocking" variable), then for the present example, an appropriate analysis would be a 3 (Condition: A, B, C) by 6 (Condition Order: ABC, ACB, BAC, BCA, CAB, CBA) repeated-measures analysis of variance, with Condition varying within subjects and Condition Order varying between subjects. See the illustration below.

Will the linear model generate be the same as if I will calculate the rcbd in let's say R? Because I don't want them to be very distinct, and drawing wrong conclusions

Again, there's no such thing as an "RCBD analysis."

If you are going to analyze the results of a "randomized complete block" experiment (or if you're going to do what I did here, and employ Latin square counterbalancing rather than randomization) then you're probably going to conduct an analysis of variance, regression, or perhaps a linear mixed effects analysis. See https://stat.ethz.ch/~meier/teaching/an ... signs.html for examples of such ANOVAs (for analyzing the results of a randomized complete block design) in R. And note that jamovi does indeed do analysis of variance (as well as regression and linear mixed-effects analysis).