What biases are present in convenient sampling?
Hi japanese,
As you may know,
convenience sampling is based on, well, convenience. Basically, that just means selecting people from the population to be part of the research based on what is going to be quickest, easier, or most financially effective. Or a combination of the three.
Sounds great, right? Yeah, but as you note, convenience sampling is likely to come with a number of biases. The types of biases depends a little on the research sample at hand, but here are some possibilities.
- Skewed toward age. Say Mrs. Brown, for example, is conducing a study on the impact of sleep deprivation on school results in secondary school students. Mrs. Brown is a Year 12 teacher, so she just uses her Year 12 class as the sample - it would be much quicker and easier that way. But that's not reflective of the entire population, because it would only include 17-18 year olds, rather than 12-18 year olds.
- Skewed toward capability. Say there's a study on the impact of drug use on literacy levels. The study acquires its participants through on a 'first come, first serve' basis after advertising in the local paper. Because you need to be able to read to understand the written ad, the study is already skewed toward those who can read in the first place.
- Skewed toward location. A study, say, on the impact of country of residence (Australia or Japan) on mental health. But the study is being conducted in a remote town in Australia, so only Australians from that remote town are selected to 'represent' the entire nation.
These aren't great examples (this response is replacing sleep haha), and I'm happy to be challenged, here. But the point is that, depending on the situation, there are a lot of possible biases. Gender, height, wealth, personality, experience, and so on. Did you have a particular scenario in mind, or was it more of a general question?

All the best!