Merits or Demerits Enumerator method
Answers
Demerits:
1. Absence of Being Representative:
Methods, such as purposive sampling may not provide a sample, that is representative.
2. Wrong Conclusion:
If the sample is not representative, the results will not be correct. These will lead to the wrong conclusions.
3. Small Universe:
Sometimes universe is so small that proper samples cannot be taken not of it. Number of units are so less.
4. Specialised Knowledge:
It is a scientific method. Therefore, to get a good and representative sample, one should have special knowledge to get good sample and to perform proper analysis so that reliable result may be achieved.
5. Inherent defects:
The results which are achieved though the analysis of sampling data may not be accurate as this method have inherent defects. There is not even a single method of sampling which has no demerit.
6. Sampling Error:
This method of sampling has many errors.
7. Personal Bias:
As in many cases the investigator, chooses samples, such as convenience method, chances of personal bias creep in.
Merits:
1. Economical:
It is economical, because we have not to collect all data. Instead of getting data from 5000 farmers, we get it from 50-100 only.
ADVERTISEMENTS:
2. Less Time Consuming:
As no of units is only a fraction of the total universe, time consumed is also a fraction of total time. Number of units is considerably small, hence the time.
3. Reliable:
If sample is taken judiciously, the results are very reliable and accurate.
ADVERTISEMENTS:
4. Organisational Convenience:
As samples are taken and the number of units is smaller, the better (Trained) enumerators can be employed by the organisation.
Hey dude,
Demerits:
1. Absence of Being Representative:
Methods, such as purposive sampling may not provide a sample, that is representative.
2. Wrong Conclusion:
If the sample is not representative, the results will not be correct. These will lead to the wrong conclusions.
3. Small Universe:
Sometimes universe is so small that proper samples cannot be taken not of it. Number of units are so less.
4. Specialised Knowledge:
It is a scientific method. Therefore, to get a good and representative sample, one should have special knowledge to get good sample and to perform proper analysis so that reliable result may be achieved.
5. Inherent defects:
The results which are achieved though the analysis of sampling data may not be accurate as this method have inherent defects. There is not even a single method of sampling which has no demerit.
6. Sampling Error:
This method of sampling has many errors.
7. Personal Bias:
As in many cases the investigator, chooses samples, such as convenience method, chances of personal bias creep in.
Merits:
1. Economical:
It is economical, because we have not to collect all data. Instead of getting data from 5000 farmers, we get it from 50-100 only.
ADVERTISEMENTS:
2. Less Time Consuming:
As no of units is only a fraction of the total universe, time consumed is also a fraction of total time. Number of units is considerably small, hence the time.
3. Reliable:
If sample is taken judiciously, the results are very reliable and accurate.
ADVERTISEMENTS:
4. Organisational Convenience:
As samples are taken and the number of units is smaller, the better (Trained) enumerators can be employed by the organisation.
@DevanKey02