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Question 1:
(a) What is the difference between a TRAINING NEED and a NON-TRAINING NEED?
(b) What is TNA and how it is carried out?
Question 2:
What are the key issues that should be addressed in the design of an effective training programme?
Question 3:
(a) What is training evaluation and why it is important?(b) How is training evaluation carried out?
Question 4:
(a) Explain the concepts of training, education and development and explain why they are related concepts.
(b) How is adult learning different from common learning?
Q. Effectiveness of a recruitment programme? The total recruitment programme should be evaluated in the light of its objective and costs involved. For this purpose, various qua
Jane Burns, an HR analyst for Standard City, USA, knows that SDy (standard deviation of dollar-valued job performance among untrained employees) for firefighters in her city is $28
Q. What do you mean by Application blanks? The application blank mainly requires the personal history of the applicant. According to the Blum & Naylor (1968), "used properly
When a proposal for amalgation or merger comes up then managements of concerned companies look into the pros and cons of the scheme. The likely benefits such as eonomic of scale, o
T arget Return Pricing Target return pricing strategy dictates that the price of an item will being introduced into a market to be determined that sales for the product
Q. What do you mean by Human resource development ? Meaning and definition: the word human development can be broken up as under: HUMAN RESOURCE DEVELOPMENT = human resource
Repeated Results If investigations yield identical results in identical conditions, then the results may be accepted as valid. To put it in other words, the validity of results
Q. What is Behaviourally anchored rating scales? Behaviourally anchored rating scales: some times this is called behavioural expectation scales, are rating scales whose scales
Determine the Text analysis of Text mining Text mining needs natural language processing abilities. Second, while data mining attempts to identify causal relationships through
What are the techniques used for KDD? The techniques used for KDD include: faceted classification that helps to draw hierarchies, trees; statistical techniques, e.g., co-word a
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