2. Why researchers sometimes go wrong
•
They make mistakes
•
They talk to the wrong people (e.g. they can’t talk
to people without landlines on CATI surveys)
•
They confuse cause with effect (A and B regularly
happen together – therefore A causes B)
•
They are sure of the conclusion before the research
– & design the research (or fudge the data) to prove it
•
They are frightened of the wrong conclusions
•
They have reasons to lie (e.g. ties to funding
organisations)
3. Questionable research practices are common
John et al. (2011) Prevalence of Questionable Research Practices. Psychological Science 23(5) 524–532
3
4. Why don’t people always tell the truth?
•
They want to be liked
•
They are boasting (especially on social media!)
•
They don’t want to feel stupid
•
They hope to win something
•
They get bored
•
They can’t be bothered to think
•
Or perhaps they do tell the truth but they are not a
representative sample
•
Social media participants and survey respondents
are often “people with something to say”
5. How not to tell the truth in surveys
Sir Humphrey Appleby knew all about leading questions!
http://www.youtube.com/watch?v=G0ZZJXw4MTA
6. Selecting the data
•
What is the “best” set of data to fit my thesis
•
Are there “outliers” I can ignore – or include
8. Data visualisation – the wrong chart
Pie charts can easily cause
problems
And infographics can be very difficult to get right
(area of B on the left is 9x that of B on the right)
9. Selecting what you report
What is the average income in my street?
1 teacher
earning
One celeb earning
14 managers
£35,000
£4,464,000
making £50,000
20 other people only
Five professionals
making £10,000
making £150,000
mean = £150,000; median = £35,000; mode = £10,000