Three way ANOVA If there was One way then and Two way, then you knew that there had to be………

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Presentation transcript:

Three way ANOVA If there was One way then and Two way, then you knew that there had to be………

Three way Mixed Model In a Human Factors experiment, there were two Job types, Dimensional stimulus (two or three dimensions), and five Analysts who performed ratings. Job type and dimension may be considered fixed (repeatable) factors. Analyst may be considered random (different in another run of the experiment). Primary interest is consistency (or differences) between stimulus types, two or three dimensional. Data from Hicks 1982, Fundamental Concepts in Design of Experiments (good reference).

Data structure (partial…)

Layout of Design

Linear Model notation

Linear Model

ANOVA Summary

Detailed ANOVA with Mean Squares

What are “correct” F-tests? Table first…

Candidate terms for coefficients For each term in the model: Then candidates for variance components:

EMS using Restricted Model (Cornfeld-Tukey)

Correct F-tests for Fixed Effects

Residuals by Predicted

Normality Plot of Residuals

Shapiro-Wilk Test of Normality Goodness-of-Fit Test Shapiro-Wilk W Test W Prob<W 0.984424 0.8463 Note: Ho = The data is from the Normal distribution. Small p-values reject Ho.

Conclusions The differences among levels of the fixed effects are not greater than that which would be expected by chance over this population of Analysts. If one were to consider Analysts fixed, then one would test all terms against Experimental Error (which has lower variation), but any conclusions would only apply to these Analysts.

All factors fixed analysis (inference changes)

Dimension and Analyst

LS Means HSD

Job and Analyst

LS Means HSD