Railway Accounts Department Examinations

Showing posts with label Normalisation Analysis. Show all posts
Showing posts with label Normalisation Analysis. Show all posts

Friday, July 17, 2026

Normalisation 2026 LDCE Analysis

 GROUP "B" LDCE 2025–26



POST-WISE NORMALIZATION ANALYSIS

📌 Executive Summary
• Total candidates covered: 35,188
• Highest variation: AOM (13.42)
• Second: ACM (13.19)
• Third: AME (9.25)
• Least: ASTE (0.09)
• Highest average score: APO (86.12)

Post-wise Analysis

Post

Candidates
S1/S2

Avg. Score
S1/S2

Difference

Normalization

Remarks

AOM

4293/4506

59.62/46.20

13.42

🔴 Very High

Maximum impact expected

ACM

908/876

64.07/50.88

13.19

🔴 Very High

Large shift variation

AME

3398/3500

55.39/46.14

9.25

🟠 High

Significant effect

AEE

3885/3960

40.92/36.85

4.07

🟡 Moderate

Limited impact

APO

771/803

86.12/82.94

3.18

🟢 Low

Highest average score

AMM

238/238

74.20/71.40

2.80

🟢 Very Low

Balanced shifts

AEN

2605/2621

58.59/57.29

1.30

🟢 Negligible

Almost equal

ASTE

1284/1302

78.31/78.22

0.09

🟢 Almost Nil

Practically identical

Candidate Strength 

(Highest to Lowest)

Rank

Post

Candidates

1

AOM

8,799

2

AEE

7,845

3

AME

6,898

4

AEN

5,226

5

ASTE

2,586

6

ACM

1,784

7

APO

1,574

8

AMM

476

Key Observations

·        Posts likely to benefit most from normalization: AOM, ACM and AME.

·        ASTE and AEN show almost identical paper difficulty.

·        AOM also has the largest candidate pool (8,799).

·        AMM has the smallest candidate pool (476).

Conclusion
The expected impact of normalization is strongest in AOM, ACM and AME. For ASTE and AEN, the impact is expected to be negligible because the two shifts exhibited almost identical average prorated scores.

 



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