Jeni implanted false memories about feeling ill in two different contexts: • relating to food • relating to location. Her laboratory experiment tested participants' confidence that these 'memories' were true. She used a ten-point rating scale to measure this confidence.
- (a)(i)Suggest why Jeni used a ten-point rating scale for confidence rather than asking participants if they were confident in the 'memory' or not.[2]
- (a)(ii)Suggest one disadvantage of using a ten-point rating scale in this study.[2]
- (b)(i)Identify one sampling technique that Jeni could have used to obtain a representative sample.[1]
- (b)(ii)Suggest how Jeni could have obtained a sample using the sampling technique you have suggested in (b)(i).[2]
Mark scheme
Marking points from the official mark scheme (Oct/Nov 2020). The mark or mark type is shown in brackets.
- 1 mark for brief suggestion + 1 mark for detail
- 2 brief suggestions = 2 marks
- Confidence is a 'sliding scale' / range / extent / obtain ordinal or continuous data rather than nominal or discrete data = 1 reason
- So Jeni can distinguish between who is really confident and who isn't / less reductionist than yes or no = 1 detail
- Because they may not be very confident about their memory for some occasion when they were sick = 1 reason
- 1 mark for disadvantage
- 1 mark for linked disadvantage
- Individuals may interpret the scale differently (disadvantage);
- So a confidence level of 5 may not mean the same for everyone (link) ;
- It doesn't allow them to explain (disadvantage);
- It is a closed question / quantitative (disadvantage);
- Because they may want to say why they don't feel confident (link);
- Because they can't explain what they feel confident about (link);
- 1 mark for correct answer:
- Random sampling = 1
- 1 mark for basic/partial description of the technique
- 2 marks for clear/complete definition
- Random sampling:
- People in the whole population being targeted are given a number (for random selection of numbers);
- (e.g. by) pulling names our of a hat/computer generator gives you / so each has an equal chance of being in the sample;
- Stratified sampling:
- Taking people from each of predetermined segments of society, e.g. different ages;
- In proportion to their existence in the population;
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