A survey was conducted to investigate views on gun control. One thousand homes were phoned in a county, but responses were only obtained from $households households. Two different questions were asked at alternate households:
(a) Should more controls be placed on gun ownership to prevent random gun violence by unstable people?
or
(b) Should fewer controls be placed on gun ownership to help people defend themselves from violent crime?
The fact that only $households of 1000 households responded is an example of SXkgiS0iSda+zzSYC8FYNDMdibR2/sB0u2iJtEM5Jm4a5bNBYe3H8LdAzuA=.
The fact that households were only contacted by phone could lead to wJQSeyBaAI/fbBbs0hbwe/wENhw3AO40ehHug69xNyM7H69k5u9NEA== bias because not all households have phones.
People often have strong opinions on gun control. This could lead to bias which is called jXLps/m1S9BGwIpEsu4HEBiYPerSqyBsfBG2UmkPe2ip6LA/1EUUBIpYy0kszELt bias.
The researcher was puzzled by the dramatic difference in responses to questions (a) and (b). This is an example of a potential bias caused by 9PmgH1dO4eSUdKGymYz9OmTQ7/DNvprj3Yi5YRhv5Dj1nGOsIboNFdi3Ocz2cyjt5/61SliE2vc=.
Households without a landline(but with cellphones) cannot be called using random digit dialing. This is an example of v9rCFRrvY8KwKJEJbvZlsNwp1WN0/tiVONo/5SKsv8No6yAlbnDoZaYxQbPeRlgr.