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Recommendations By

Peter Anyebe

It is possible to categorise people into the following three, 3 groups, according to

their scores on the factor-Nu:

Adapted, Nu < 2.00

Adjusted, 2.00 ≤ Nu ≤ 4.00

Integrated, Nu ≥ 4.00

The factor-Nu measures the number of essentials that the person is able to identify,

out of the expected five, 5. It is derived from the factor-F. This conception is

corroborated by the following two, 2 measures:

Maturation, MI and

Normality, NI

In principle the factors MI and NI are correlated at r = 0.9962, when the subjects are

consistent. The correlation drops to r = 0.8579 when the inconsistent subjects are

included in the analysis. In general, a correlation of r = 0.7014 is observed between

both factors. This is expected to rise with the number of subjects in the analysis. Of

the twenty, 20 subjects in the analysis described here, six, 6 were consistent.

Normality is derived from the factor-Nu. And maturation, MI is derived principally

from the factors S and C. Recall that it is sufficient to put a value on people

objectively, using the factors F, S, and C. These factors, in turn, are derived from the

factors Pc, Rn, Vc, and √n which are measured on their various kits.

Following this corroboration, performance is appraised on the factor-PfI, which is

one of two, 2 factors that define maturation formally as follows:

The factor- EB is a measure of the quality of the business environment.

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Pf = 1 / (1 – 1/Fp)

Fp = (FA x FC)

FC = √n / √n’, FC > 1

FC = 1/ FC + 1, FC < 1

FA = 1/(RES x RGT), 1 ≤ FA ≤ 2

FA = 1/ FA + 2, FA < 1

MI = √(PfI x EB),

PfI = 1 – 1/Pf,

EB = Rw/2,

Rw = √(Nu/Nu’),

Nu’ = f1, Derived on the PMM

f0 = 2Po – 1

Po = RES / RGT

The factor-PfI is predicted from the measure of only the factor-Pc at r = 0.9999, for

the subjects that are consistent. It drops to r = 0.8024 when the inconsistent subjects

are included in the analysis. For recommendations therefore, the score on this factor

necessarily needs to be at least 0.80 for the subject to be recommendable. Recall the

Pareto 80-20 Rule, following which 80% of the work in most organisations is done

by 20% of the personnel. The 20%ters need to score up to 0.98 on this factor.

Reference the data on the tables 1 and 2 below.

The factor-ROI is another factor that needs to feature prominently on the

recommendation note. When the negative ROI scores are ignored, the other scores

on the above referenced data return a correlation of r = 0.7846 between the scores

derived from only the factor-Pc and the scores derived from the three, 3 factors Pc,

Rn, and √n. Serially, a recommendation would be adequate when it includes the

following measures:

Thus for a meaningful recommendation, the object would be to define a quality

human-power resource, HPRQ against the back drop of the competencies that need

to be rewarded, for sustained organisational growth, ROI. These competencies are

expressed in the amount of entropy, F that the subject is capable of contributing, as

well as the category, Nu and level of maturation, MI.

Recall that the factor-C is the input to the evaluation of the ROI. It is the objective

determinant of employability. It ought to exceed or at least equal the organisational

C-score for the subject to be employable. A lower C-score would only negate

organisational growth.

Recommendations put labour on the shelf, like all other commodities. Done in the

manner presented here, it makes HR precise.

1. Maturation Recommendations

2. Category 6. HPRQ

3. Entropy 5. Reward

4. ROI

Data derived from only the factor-Pc

Data derived from the factors Pc, Rn, Vc, and √n

Hastings’ Approximation of the Normal Distribution Function

Pc Rn /n Vc S F C RES RGT ROI Rw EB Nu PfI MI NI Po Ps

1.64 2.42 2.15 1.25 0.43 1.08 1.71 1.0 0.99 6.16 1.51 0.76 3.38 0.95 0.86957 0.99928 0.91 27.26

1.58 2.32 2.07 1.24 0.44 1.07 1.67 0.97 0.96 6.09 1.45 0.72 3.23 0.9 0.85011 0.99877 0.86 24.92

1.8 2.68 2.36 1.27 0.41 1.08 1.83 1.06 1.08 1.4 0.52 0.26 1.06 0.3 0.50903 0.708 0.29 9.39

1.95 2.93 2.55 1.29 0.39 1.09 1.95 1.11 1.15 1.06 0.53 0.26 0.99 0.29 0.51307 0.67499 0.28 9.44

2.33 3.56 3.05 1.33 0.35 1.1 2.23 1.21 1.32 0.68 0.54 0.27 0.85 0.26 0.51764 0.6047 0.25 9.33

5.37 8.7 7.07 1.46 0.23 1.14 4.52 1.63 2.29 0.22 0.48 0.24 0.46 0.16 0.49105 0.35528 0.15 7.08

1.69 2.5 2.22 1.26 0.42 1.08 1.75 1.01 1.02 1.85 0.51 0.25 1.11 0.32 0.50461 0.73439 0.3 9.29

2.6 4.01 3.41 1.35 0.33 1.11 2.44 1.27 1.43 0.55 0.54 0.27 0.78 0.25 0.51807 0.56418 0.23 9.14

3.64 5.76 4.78 1.41 0.28 1.13 3.22 1.45 1.79 0.34 0.52 0.26 0.61 0.2 0.51071 0.45489 0.19 8.28

1.18 1.68 1.56 1.15 0.51 1.05 1.36 0.76 0.7 4.94 0.93 0.47 2.09 0.52 0.68368 0.96334 0.5 9.82

1.65 2.43 2.16 1.25 0.43 1.08 1.72 1.0 1.0 6.17 1.52 0.76 3.41 0.96 0.87272 0.99934 0.92 27.65

1.34 1.93 1.76 1.19 0.47 1.06 1.48 0.86 0.81 5.61 1.16 0.58 2.59 0.67 0.76049 0.99028 0.66 15.7

2.85 4.43 3.74 1.37 0.32 1.11 2.63 1.32 1.52 0.47 0.54 0.27 0.73 0.23 0.51725 0.53209 0.22 8.94

18.31 30.8 24.31 1.53 0.12 1.16 14.23 2.02 4.85 0.08 0.31 0.16 0.21 0.08 0.39584 0.67499 0.07 3.71

2.14 3.24 2.8 1.31 0.37 1.1 2.09 1.16 1.24 0.82 0.53 0.27 0.91 0.28 0.51612 0.63765 0.26 9.41

2.65 4.09 3.47 1.36 0.33 1.11 2.47 1.29 1.45 0.53 0.54 0.27 0.77 0.24 0.51798 0.55738 0.23 9.1

1.4 2.03 1.84 1.2 0.46 1.06 1.53 0.89 0.85 5.78 1.23 0.62 2.76 0.73 0.78516 0.99415 0.71 17.98

1.28 1.83 1.69 1.17 0.49 1.05 1.44 0.82 0.77 5.41 1.08 0.54 2.41 0.62 0.73379 0.98393 0.6 13.45

1.32 1.9 1.74 1.18 0.48 1.06 1.47 0.85 0.8 5.55 1.13 0.57 2.53 0.66 0.75183 0.9885 0.64 14.94

1.66 2.45 2.18 1.25 0.42 1.08 1.73 1.0 1.0 2.04 0.51 0.25 1.13 0.32 0.50309 0.74191 0.31 9.25

Pc Rn /n Vc S F C RES RGT ROI Rw EB Nu PfI MI NI Po Ps

1.64 2.28 2.13 1.14 0.44 1.07 1.71 0.99 0.99 6.05 1.63 0.82 3.65 0.92 0.86442 0.99973 0.97 27.05

1.58 2.16 2.05 1.11 0.45 1.05 1.67 0.96 0.95 5.35 1.75 0.87 3.91 0.86 0.86667 0.99991 0.97 21.74

1.8 2.6 2.35 1.21 0.41 1.11 1.83 1.06 1.08 5.62 1.56 0.78 3.18 0.3 0.48466 0.99852 0.95 36.42

1.95 2.89 2.55 1.27 0.38 1.13 1.95 1.11 1.16 4.74 1.58 0.79 2.9 0.29 0.47741 0.99623 0.94 42.05

2.33 3.66 3.08 1.38 0.33 1.19 2.23 1.22 1.36 3.3 1.67 0.84 2.45 0.26 0.46809 0.98579 0.91 50.95

5.37 7.29 6.03 1.42 0.32 1.21 4.52 1.69 1.86 1.84 1.5 0.75 2.32 0.19 0.37849 0.97958 0.91 53.61

1.69 2.61 2.06 1.53 0.39 1.27 1.51 0.92 0.86 -5.28 0.9 0.45 2.01 0.4 0.42272 0.95587 0.88 59.72

2.6 4.7 3.7 1.54 0.26 1.27 2.44 1.28 1.63 2.66 1.81 0.9 2. 0.24 0.46254 0.9543 0.88 60.02

3.64 6.29 4.89 1.57 0.24 1.29 3.22 1.44 1.94 1.97 1.91 0.95 1.93 0.2 0.43962 0.94629 0.88 61.4

1.18 1.09 1.36 1.58 0.89 1.29 1.36 0.52 0.89 4.22 2.38 1.19 1.91 0.42 0.70573 0.94423 0.88 61.72

1.65 0.74 1.36 1.69 0.59 1.34 1.72 0.93 0.95 -6.18 0.84 0.42 1.72 0.8 0.57928 0.91395 0.86 65.65

1.34 1.09 1.56 1.7 0.59 1.35 1.6 0.86 0.89 -5.64 0.88 0.44 1.7 0.66 0.53747 0.91063 0.85 66.0

2.85 2.74 2.81 1.82 0.53 1.41 2.62 1.34 1.22 -19.33 0.69 0.34 1.54 0.26 0.30049 0.8756 0.83 69.25

18.31 35.62 25.05 1.84 0.14 1.42 14.23 2.07 4.29 1.14 2.13 1.06 1.5 0.09 0.3121 0.86732 0.83 69.91

2.14 4.79 3.13 2.06 0.19 1.53 1.65 1.07 1.28 -12.76 1.04 0.52 1.29 0.15 0.27514 0.80299 0.8 74.17

2.65 3.1 1.89 2.28 0.44 1.64 1.23 0.72 0.52 -1.92 0.51 0.25 1.14 0.18 0.21218 0.74441 0.77 77.24

1.28 4.41 2.53 2.49 0.11 1.74 0.89 0.84 -0.55 6.72 3.04 1.52 1.03 0.32 0.6966 0.6969 0.74 79.38

1.4 2.39 1.19 3.02 0.38 2.01 1.27 0.79 0.58 -1.63 0.38 0.19 0.85 0.18 0.18555 0.60304 0.69 83.03

1.32 2.2 1.1 3.0 0.4 2.0 1.22 0.74 0.49 -1.6 0.38 0.19 0.85 0.14 0.16562 0.60549 0.69 82.94

1.66 3.57 1.26 4.67 0.25 2.83 1.44 0.97 0.9 -1.49 0.27 0.14 0.61 0.29 0.19929 0.45528 0.57 87.86

NI = 2(ϕx – 0.5),

x = Nu,

ϕx = 1 – Qt(C1t + C2t + C3t + C4t + C5t)

t = 1 / (1 + Px)

ϕt = 1 / √(2π) x e(-(x2/2))

P = 0.2316419

C1 = 0.31938153 C2 = 0.356563782

C3 = 1.78147837

C4 = -1.821255978

C5 = 1.330274429

e = 2.7183

π = 3.141