SAMPLING ERROR
SRUTHI S
SAMPLING
sample are taken from population
selecting observations to provide an adequate description
SAMPLING ERROR
differences between the sample and the population
Increasing the sample size will reduce this type of error
Types of Sampling Errors�
Sample Errors
Non Sample Errors
Sample Errors
Error caused by the act of taking a sample
results to be different from the results of census
Differences between the sample and the population occur
Statistical Errors are sample error
We have no control over
Non Sample Errors
Control by Sample Size
Non Response Error
Response Error
Non Response Error
Response Error
occurs during data collection, analysis or interpretation
Respondent Error
Interviewer Bias�
Different interviewers administer a survey in different ways
Differences occur in reactions of respondents to different interviewers, e.g. to interviewers of their own sex or own ethnic group
Inadequate training of interviewers
Inadequate attention to the selection of interviewers
There is too high a workload for the interviewer
Measurement Error
The question is unclear, ambiguous or difficult to answer
The list of possible answers suggested in the recording instrument is incomplete
Requested information assumes unfamiliar to the respondent
The definitions used by the survey are different from those used by the respondent (e.g. how many part-time employees do you have?
Key Points on Errors
inevitable in production of national statistics.
steps taken to minimise
question procedures adopted for data collection, and data verification
attempt to resolve queries immediately they arise.
results presented can be interpreted meaningfully.
Thanks…