Dear researchers ,
Greetings. I am trying to collect data from an organization. Suppose , the number of employees in an organization is 1000. What could be the optimum number of sample size from these 1000 people ( that means , I wont get respond from everyone, what is the optimum number of data size to be considered ). I am trying to gather information on employees . 1.There are different formulization for optimum sample size , can you please list them all provide me the best one (with recent publication references ?)
2. Also, can you please let me know how can I eliminate the possibility of bias in the dataset ?
There are a large number of sample size calculators on the internet which will provide you with an initial sample size. It is less clear what would be an acceptable non-response rate. So, an alternative would be to use the g*Power program to determine how many actual respondents you need for a given statistical test (e.g., a t-Test).
Dear Faisal Bin Al Abid
The sample size Also can be controlled by the margin of error
Because they are related to an inverse relationship
Increasing the margin of error means reducing the sample size
Reducing the margin of error means increasing the sample size
Notice below the basic equation for calculating sample size.
I have explained this in detail
Best wishes to you
See the attached link Dear Faisal Bin Al Abid
Data Sample size and how to calculate it using the Cochrane function.
Controlling bias is also possible and is directly related to the researcher.
Conduct a random lottery to ensure that there is no bias in principle.
When conducting data collection, adhere to impartiality and scientific honesty.
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