DGVCL Vidyut Sahayak Normalization Methods 2021 Out – Download PDF Here!!!

DGVCL Vidyut Sahayak Normalization Methods PDF. Dakshin Gujarat Vij Company Limited has released the Normalization Methodology for Computer Based Test (CBT) for recruitment for the post of Vidyut Sahayak (Junior Assistant) And Vidyut Sahayak (Junior Engineer-Electrical / IT / Civil). So; Applied Candidates can download Normalization Methods PDF from our website.

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DGVCL Vidyut Sahayak Normalization Method:

Purpose: If test is conducted in batches with different set of questions, there is possibility that the difficulty level may differ and in such an event to have scores of both batches comparable, process Normalization is adopted.

Process: Mean and Standard Deviation is ascertained for the Base as well as Targeted Batch. Formula is applied using these figures to the Scores of Targeted Batch and Normalized score is obtained. The base factors for the calculation are:

• Proportion of Deviation
• Difference between Target Value and Average Value
• Average Value and the formula used to get Normalized Score is A x B + C.

Method A –

Score Normalization using Mean and Standard Deviation of Base / Standard and Target Batch

Xn = (S2 /S1 )*(X-X av ) + Y av

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Where: Suffix 1 and suffix 2 represent two sets of marks. S represents standard deviation. X and Xav represent raw score and average score for set 1. Y and Yav represent raw score and average score for set 2. And Xn = Normalized score. Supposing set 1 is to be scaled against set 2 (which is declared as standard)

 In this method there are following 3 factors:

1. A) Ratio of SD of Base / Standard Batch to SD of Targeted Batch
2. B) Difference of Score of Candidates and Average Score of the Target Batch
3. C) Average Score of Base / Standard Batch Normalized Score = A x B + C Batch with maximum average with minimum 70% of the overall average attendance is considered as the Base / Standard Batch.

Method B:

• In this case additional elements like Average and Standard Deviation of top 0.1% of overall candidates as well as that of targeted batch are brought in the picture.
• By using Proportion of difference ( Average score of Top 0.1% candidates minus Average+ SD of all candidates’ score) for all shifts to targeted shift the purpose to normalize the data more precisely is achieved if there is significant variation in marks scored by top 0.1% candidates in different batches.

Method C:

This method is similar to Method B except change in “Factor C” i.e. instead of “Sum of mean marks of candidates (in the shift having max. mean) and Standard Deviation of candidates considering all batches” , “Sum of mean and Standard Deviation marks of candidates in the exam considering all batches” is considered.

Therefore, this method is appropriate where all Batches are equally important or unique and no Batch can be taken as a Base / Standard Batch.

Download DGVCL Vidyut Sahayak Normalization Method PDF

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