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Nu: 3.9165 No: 3.9133 Confusion: -0.0032 Confidence: 3.8519 Po: 0.9740 Nu: 2.9469 No: 3.8000 Confusion: 0.8531 Confidence: 2.0938 Po: 0.9400 Nu: 1.7763 No: 3.5400 Confusion: 1.7637 Confidence: 0.0126 Po: 0.8620 Nu: 0.9541 No: 3.0700 Confusion: 2.1159 Confidence: -1.1618 Po: 0.8620 Nu: 0.6470 No: 2.6433 Confusion: 1.9963 Confidence: -1.3493 Po: 0.5930 Integrated: Confident, Consistent, Assured; Nu = 4 Adaptation: Inconsistency begins to drop; Nu < 1 Lower Adjustment: Confusion begins to drop; Nu = 1 Top Adjustment: Continued growth; Nu = 3 Mid Adjustment: Confidence becomes positive; Nu = 2 No = (10f 0 + 2)/3 Nu = (1/(4 Z)) 2 , Z = 2(1/(1 Sample Data from Optimization of the Appreciation Model ©Agape Consultants, 2011

Appreciation Model Sample Data, Chart

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This is a sample simulation data of the Appreciation Model, which defines the transitions between Adaptation, Adjustment, and Integration, as a process in learning and development

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Page 1: Appreciation Model Sample Data, Chart

Nu: 3.9165

No: 3.9133

Confusion: -0.0032

Confidence: 3.8519

Po: 0.9740

Nu: 2.9469

No: 3.8000

Confusion: 0.8531

Confidence: 2.0938

Po: 0.9400

Nu: 1.7763

No: 3.5400

Confusion: 1.7637

Confidence: 0.0126

Po: 0.8620

Nu: 0.9541

No: 3.0700

Confusion: 2.1159

Confidence: -1.1618

Po: 0.8620

Nu: 0.6470

No: 2.6433

Confusion: 1.9963

Confidence: -1.3493

Po: 0.5930

Integrated: Confident,

Consistent, Assured; Nu = 4

Adaptation: Inconsistency begins to drop; Nu < 1

Lower Adjustment: Confusion begins to drop; Nu = 1

Top Adjustment:

Continued growth; Nu = 3

Mid Adjustment:

Confidence becomes positive; Nu = 2

No = (10f0 + 2)/3

Nu = (1/(4 – Z))2,

Z = 2(1/(1 –

f0/4))2

Sample Data from

Optimization of the Appreciation Model

©Agape Consultants, 2011