Lakha is planning to conduct a study to correlate helpfulness and intelligence. She is going to ask her participants to use an online IQ test and is going to measure helpfulness in the laboratory.
- (a)Suggest one way that Lakha could measure helpfulness for her correlation.[2]
- (b)Suggest one advantage of the measure of helpfulness that you gave in part (a).[2]
- (c)Name the type of graph Lakha should use to plot her results.[1]
- (d)Describe the pattern Lakha will see in her results if she finds a negative correlation between the two variables. You may use a drawing in your answer.[1]
- (e)A problem with the participants doing an online IQ test at home is that they may cheat. Explain the effect this would have on the negative correlation if only the less helpful participants cheated.[2]
Mark scheme
Marking points from the official mark scheme (Oct/Nov 2018). The mark or mark type is shown in brackets.
- [2] 1 mark for suggestion that produces ordinal, interval or ratio data (i.e. that could be correlated)
- 2nd mark for detail e.g. operationalisation.
- ∞ using a questionnaire = 1 mark
- ∞ with questions like 'How likely would you be to assist an old person crossing the street? (on a scale of 0–10) = 2nd mark
- ∞ by setting up a situation with a stooge = 1 mark
- ∞ so the participant was asked to help clear up a mess to see how much effort they make (and rate it) = 2nd mark
- [2] 1 mark for suggested advantage
- 2nd mark for detail
- ∞ reliable because objective = 1 mark
- ∞ e.g. in the questionnaire they could only give a number, so the response does not need to be interpreted = 2nd mark
- ∞ valid because few demand characteristics = 1 mark
- ∞ e.g. because with the stooge they would not know helping was part of the study, so they would act normally = 2nd mark
- Note: These are only examples, there will be many other acceptable answers.
- [1] 1 mark for scatter graph
- [1] 1 mark for 'As one variable goes up the other goes down'
- OWTTE
- Accept diagram (does not have to be labelled):
- [2] Both marks for explaining the effect on the correlation.
- ∞ less helpful participants would score better than they should (so would look like they had higher IQs)
- ∞ so the negative correlation would look steeper
- ∞ because the most unhelpful people (the most intelligent ones) would appear (even) more intelligent
- ∞ it would be less valid, because Lakha would be measuring cheating not IQ
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