Section B Answer all questions in this section. Two friends, Zvi and Bill, are conducting a natural experiment. They are collecting data by observing whether young or old people are more likely to become frustrated when trying to get on a busy train.
- (a)(i)Suggest how the friends could operationalise their independent variable.[1]
- (a)(ii)For the way you suggested in (a)(i): Explain one strength of operationalising the independent variable in this way.[2]
- (b)Explain what is meant by a 'dependent variable', using Zvi and Bill's study as an example.[2]
- (c)(i)Zvi plans to collect data at the same time each day. Explain one strength of Zvi's plan.[2]
- (c)(ii)Bill plans to collect data over a range of different times each day. Explain one strength of Bill's plan.[2]
Mark scheme
Marking points from the official mark scheme (May/June 2021). The mark or mark type is shown in brackets.
- [1] (Operationalise age as) 40 and under, 41 and over;
- [1] (Operationalise age as) (Young =) under 20, (old =) over 60;
- [2] It would be easy to distinguish who was young and who was old; because the categories are very different / people's appearance changes a lot between the two age groups;
- [2] Because people wouldn't have to state their actual age; so (more ethical because) less invasion of privacy;
- [2] 'under 20 and over 50 are easy to tell apart; so objective/reliable/valid';
- [1] The DV is the variable being measured;
- [1] Frustration (e.g. as 'pushing');
- [1] The DV is what changes under the influence of the IV;
- [2] Collecting data at the same time will improve standardisation/reliability; Because other variables that could affect frustration, such as how busy the busy train is, will be constant;
- [2] It would control for variables such as how tired people are; Making the findings more valid as this won't mask the effect of age;
- [2] Collecting data at different times will increase validity; by being sure that the only factor affecting frustration is age and not when people travel (e.g. busy times or not);
- [2] Collecting data at different times will increase generalisability; As participant variables might vary over the day, e.g. (only younger passengers being) frustrated after work but not before;
- [2] To get a more varied sample / make results more generalisable / make findings more representative; E.g. to avoid bias due to factors other than age (e.g. work, travelling alone or in pairs, time of travel);
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