Lesson 2.2.1
2.2.1 Experimental design and controls Quiz: Pearson Edexcel Psychology, Unit 2
20 questions
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Lesson 2.2.1, Experimental design and controls: 20 multiple choice questions for the Pearson Edexcel Psychology (9PS0), Unit 2: Cognitive psychology, written with Revision Ninja.
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The 20 questions
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What is the difference between a laboratory experiment and a field experiment?
- A laboratory experiment has no independent variable, while a field experiment always has two independent variables
- A laboratory experiment is conducted in a controlled setting, while a field experiment takes place in a natural setting
- A laboratory experiment uses only qualitative data, while a field experiment uses only quantitative data
- A laboratory experiment uses questionnaires, while a field experiment uses only observations of participants
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Which design control involves randomly allocating participants to conditions to reduce bias?
- Use of a single participant in each condition of the study, to avoid individual differences
- Randomisation
- Debriefing of participants after the study has finished and all data have been collected
- Standardisation of the instructions in every condition of the study
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Why is counterbalancing used in repeated measures designs?
- To increase the number of participants in each condition so that the sample becomes larger and more representative
- To ensure that the dependent variable is measured in the same way for every participant in the study
- To control order effects, by varying the order in which participants complete the conditions
- To remove the need for a control group, since each participant serves as their own control in every study
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A researcher uses an independent groups design. What is a key advantage?
- Fewer participants are needed, since each participant takes part in every condition of the experiment
- Counterbalancing is unnecessary in every study, since the design removes every possible confound
- Participants are always matched on all variables, so individual differences are removed entirely from the data
- Order effects are avoided, since each participant takes part in only one condition of the study
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A researcher uses a matched pairs design. What is a key purpose of matching?
- To ensure that every participant completes both conditions, which removes all differences between people
- To control participant variables that might otherwise differ between conditions and affect the results
- To remove the need for random allocation, since the pairs are always equal in every way that matters
- To increase the number of participants who take part in each condition of the experiment at the same time
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What is an extraneous variable?
- The variable that is measured as the outcome of the experiment and used to assess the effect
- A variable other than the independent variable that might affect the dependent variable if not controlled
- A variable that is always the same in every condition, so it cannot affect the results in any way
- The variable that the researcher deliberately changes to see whether it has an effect on the outcome
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What is a confounding variable?
- A variable that is held constant across all conditions, so it can never affect the dependent variable at all
- A variable that the participant chooses for themselves, so the researcher has no control over it in any study
- A variable that is measured as the dependent variable, so it must always be recorded as a number
- A variable that varies systematically with the independent variable, so it can explain the results instead
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Which of these is an example of a demand characteristic?
- Participants forget the instructions because the room is too cold, which reduces their concentration in the study
- Participants guess the aim of the study and change their behaviour to match what they think is expected
- Participants are paid for their time, which is a form of incentive that has no effect on behaviour at all
- Participants are assigned to a condition by a coin toss, which is a form of random allocation in the study
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What is the purpose of a standardised procedure in an experiment?
- To ensure that every participant experiences the same procedure, so differences in results reflect the IV
- To ensure that participants are not told about the study, which prevents any demand characteristics at all
- To ensure that the dependent variable is measured only once, at the end of the study, for all participants
- To allow the researcher to change the procedure freely for each participant, so that each gets a unique experience
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A researcher finds that participants perform better in the second condition than the first, regardless of the IV. Which effect does this suggest?
- A Hawthorne effect, in which participants improve because they are aware of being observed by the researcher
- A social desirability effect, in which participants give answers they believe are socially acceptable to the researcher
- A placebo effect, in which participants improve because they expect the treatment to work for them
- A practice effect, in which participants improve through repeated experience of the task
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Which evaluation point is most relevant to field experiments?
- Field experiments always have perfect control of all variables, so they are always more reliable than lab studies
- Field experiments cannot be used to test independent variables, so they cannot test causal relationships at all
- Field experiments always use animal participants, so they are never relevant to human behaviour in any setting
- Field experiments may have high ecological validity, but control over extraneous variables is usually lower
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Which of these is a strength of laboratory experiments?
- Very large samples, since laboratory experiments always recruit thousands of participants at a time
- High control over variables, which supports cause-and-effect conclusions about the IV and the DV
- No ethical issues, since laboratory experiments never involve any form of deception or participant risk
- High ecological validity, since laboratory settings are identical to everyday life in every respect
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Which design would be most suitable for comparing two conditions when participants might be affected by practice effects?
- An independent groups design, since each participant takes part in only one condition and avoids order effects
- A design with no control group, since practice effects are removed when there is no comparison group at all
- A repeated measures design without counterbalancing, since the same participants in both conditions make it fair
- A repeated measures design with a single order for everyone, since practice effects are always reduced that way
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Which statement about a dependent variable is correct?
- It is the variable that the researcher changes deliberately, to see whether it affects the measured outcome
- It is the variable that is always a participant characteristic, such as age or gender, in every study
- It is the variable that the researcher measures, which is expected to change as a result of the IV
- It is the variable that is always controlled by the researcher, so it never changes across the conditions
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Which is an example of a situational variable that could affect results in a memory experiment?
- The participant's age, which is a participant variable rather than a situational variable in the design
- Noise level in the testing room during the presentation of the word list
- The participant's own memory capacity, which is a participant variable rather than a situational variable
- The participant's gender, which is a participant variable rather than a situational variable in the study
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A study finds that participants in one condition are all tested in the morning and those in another condition in the afternoon. What is the main problem?
- Time of day is not a variable at all, since it is simply a feature of the testing schedule with no effect
- Time of day is a confounding variable, since it varies with the IV and could explain the results
- Time of day is a controlled variable, since it is held constant across all conditions of the study
- Time of day is the dependent variable, since it is measured in each condition of the study at the same time
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Which measure would help control order effects in a repeated measures study of memory?
- Counterbalancing, which alternates the order of conditions across participants
- Using a single fixed order, so that every participant completes the conditions in exactly the same sequence
- Removing one condition from the study, so that participants complete only a single test in the procedure
- Telling participants the order of the conditions in advance, so that they can plan their approach to each
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What is the main problem with using a matched pairs design?
- It means that every participant must complete both conditions, which causes a serious order effect in all cases
- It takes time and effort to match participants on relevant variables, and perfect matching is hard to achieve
- It means that the sample must be very large, which makes the data impossible to analyse in any practical way
- It means that no random allocation is needed, which makes the pairs less representative of the population overall
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A researcher's participants are told the aim of the study, and they change their behaviour to fit it. What is this?
- A reliability problem, which means the measure gives inconsistent results when the test is repeated
- An operationalisation problem, which means the variables have not been defined in measurable terms
- A demand characteristic, which is a cue that leads participants to change their behaviour
- A confounding variable, which varies systematically with the independent variable in the study design
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Why might a laboratory experiment be preferred to a field experiment when testing a memory theory?
- Because the researcher has more control over extraneous variables, which supports causal conclusions
- Because laboratory experiments involve no ethical considerations, since participants are never deceived in them
- Because laboratory experiments always have higher ecological validity than field experiments do in every study
- Because laboratory experiments always use larger samples, which removes the need for any statistical analysis
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