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Monitoring panel performances with g p p the Mixed Assessor Model ...

Monitoring panel performances with g p p the Mixed Assessor Model ...

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The <strong>Mixed</strong> <strong>Assessor</strong> <strong>Model</strong> (M. A.M.)<br />

The M.A.M. C.A.P Table<br />

Application to <strong>the</strong> SensoBase<br />

Disagreement of <strong>panel</strong> for <strong>the</strong> classical model and <strong>the</strong> MAM<br />

‣ With MAM, <strong>the</strong> disagreement effect was significant (p=0.05) 05) for 28.9% of <strong>the</strong> attributes,<br />

whereas it was 48.3% <strong>with</strong> <strong>the</strong> classical model.<br />

Classical <strong>Model</strong><br />

MAM<br />

55.9%<br />

S<br />

S<br />

48.3% 44.1%<br />

51.7% 3.6%<br />

NS<br />

NS<br />

S<br />

1/2 significant attributes for<br />

disagreement becomes non<br />

significant.<br />

96.4% The <strong>Mixed</strong> <strong>Assessor</strong> <strong>Model</strong><br />

NS<br />

dramatically improves <strong>the</strong><br />

S : significant<br />

agreement of <strong>the</strong> <strong>panel</strong><br />

NS : not significant<br />

3 Université Sensometrics de Bourgogne, 2012 le 20 Janvier 2012<br />

<strong>Monitoring</strong> <strong>panel</strong> <strong>performances</strong> <strong>with</strong> <strong>the</strong> M.A.M.<br />

13/15

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