Types and Sources of Errors in Statistical Data. Types of Errors. In general, there are two types of errors: a. non-sampling errors and b. sampling errors.
a. non-sampling errors and
b. sampling errors.
Non-sampling errors arise from:
a. they find questions particularly sensitive, or if
b. they have been asked too many questions.
- designing good systems to capture errors that occur during the process of collecting data, sometimes called Data Quality Assurance Systems.
It is affected by a number of factors including:
a. sample size.
b. the sampling fraction.
c. the variability within the population.
d. sample design.