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Examples of types of bias in sampling include



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Examples of types of bias in sampling include: 
Bias resulting from incompleteness of the sampling frame: accessibility bias, seasonability 
bias, self-reporting bias, volunteer bias, non-response bias etc. 


Research methodology 
46
Non-response bias refers to failure to obtain information on some of the subjects included in 
the sample to be studied. It results in significant bias when the following two situations are 
both fulfilled. 
1. When non-respondents constitute a significant proportion of the sample. 
2. When non-respondents differ significantly from respondents. 
The issue of non-response should be considered during the planning stage of the 
study: 
a) Non-response should be kept to a minimum. E.g. below 15% 
 
Methods that may help in maintaining non-response at a low level could be: 
• Training data collectors to initiate contact with study subjects in a respectful way and 
convince them about the importance of the given study (this minimizes the refusal type 
of non-response) 
• Offering incentives to encourage participation (this should be done by taking account 
of the potential problems that may arise in conducting future research)
• By making repeated attempts (at least 3 times) to contact study subjects who were 
absent at the time of the initial visit. 
b) The number of non-responses should be documented according to type, so as to 
facilitate an assessment of the extent of bias introduced by non-response. 
c) As much information as possible should be collected on non-respondents, so as to see 
in what ways they may differ from respondents. 
• Selection bias cannot be corrected by increasing the size of the samplewhy? How 
do you remove this type of bias? 


Research methodology 
47

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