Exam code: 8182
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Define a hypothesis.
A hypothesis is a precise, testable statement of the relationship between the variables being investigated.

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What must the alternative hypothesis include?
Both the independent variable (IV) and the dependent variable (DV), and both must be operationalised.
How would you operationalise the IV and DV in a study of aggression?
IV: whether children observe an aggressive or non-aggressive adult model. DV: the number of imitative acts of aggression performed by the child.
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Define a hypothesis.
A hypothesis is a precise, testable statement of the relationship between the variables being investigated.
What must the alternative hypothesis include?
Both the independent variable (IV) and the dependent variable (DV), and both must be operationalised.
How would you operationalise the IV and DV in a study of aggression?
IV: whether children observe an aggressive or non-aggressive adult model. DV: the number of imitative acts of aggression performed by the child.
Define a non-directional hypothesis.
A non-directional hypothesis predicts that there will be a difference or relationship between variables, without stating which direction it will take.
A study investigates whether children who observe an aggressive adult model later perform more imitative aggression than children who observe a non-aggressive adult model. Give the non-directional alternative hypothesis for this study.
‘There will be a difference in the number of imitative acts of aggression performed by children who observe an aggressive adult model and those who observe a non-aggressive adult model.’
Define a directional hypothesis.
A directional hypothesis predicts the direction of a difference or relationship — for example which condition will score higher, or whether a correlation will be positive or negative.
For the same study — comparing children who observe an aggressive adult model with those who observe a non-aggressive adult model — give the directional alternative hypothesis.
‘Children who observe an aggressive adult model will perform more acts of imitative aggression than children who observe a non-aggressive adult model.’
True or False?
Correlational studies use a hypothesis of difference, just like experiments.
False.
Correlational studies do not have an IV and DV — they measure two co-variables, so the hypothesis predicts a relationship, not a difference.
Give a non-directional hypothesis for a correlational study of sleep and test marks.
‘There will be a relationship between the number of hours of sleep the night before a test and the number of marks scored on the test.’
Give a directional (positive) hypothesis for the same correlational study.
‘As hours of sleep increase, the number of marks scored on the test will increase.’
Define the null hypothesis.
The null hypothesis predicts no difference between conditions (or no relationship between co-variables), and is written alongside the alternative hypothesis to allow for the possibility that the IV has no effect on the DV.
The null hypothesis must be the direct opposite of the alternative hypothesis: the same conditions, and the same operationalised .
The null hypothesis must be the direct opposite of the alternative hypothesis: the same conditions, and the same operationalised DV.
A researcher predicts participants will recall fewer words with loud music playing than in silence. Write the matching null hypothesis.
‘There will be no difference in the number of words recalled when memorising with loud music playing compared with memorising in silence.’
Give the null hypothesis for the correlational study of sleep and test marks.
‘There will be no relationship between the number of hours of sleep the night before a test and the number of marks scored on the test.’
True or False?
If an experiment shows a difference between conditions, the null hypothesis is accepted.
False.
If there is a difference, the null hypothesis is rejected and the alternative hypothesis is accepted. If there is no difference, the null hypothesis is accepted.
For the same study — comparing children who observe an aggressive adult model with those who observe a non-aggressive adult model — write the null hypothesis.
‘There will be no difference in the number of imitative acts of aggression performed by children who observe an aggressive adult model and those who observe a non-aggressive adult model.’
Define the independent variable (IV).
The independent variable is the factor which is changed or manipulated in order to observe the effect it has on the dependent variable.
Give an example of an independent variable.
Whether participants learn a list of 20 words in silence or with loud rock music playing; or whether they complete a jigsaw after 30 minutes of exercise or after none.
Define a condition, in relation to the IV.
Each version of the IV is called a condition.
What is a control condition?
A condition that acts as a baseline for comparison with the other conditions — such as silence, no exercise, or no model.
True or False?
In a laboratory experiment, the IV can be naturally occurring, such as age or gender.
False.
In a lab experiment the IV must be manipulated by the researcher. It cannot be naturally occurring.
True or False?
If an IV is naturally occurring and cannot be manipulated, the study is a natural experiment.
True.
For example, gender, age, or an event such as a school closing.
Define the dependent variable (DV).
The dependent variable is the factor which is measured in the study, to assess the effect of the IV.
Give two examples of a dependent variable.
The number of items recalled from a list of 20; the time taken in seconds to complete a jigsaw puzzle; or the number of imitative acts of aggression in a 20-minute observation.
Why must the DV ‘follow from’ the IV?
The DV must directly measure the effect of that specific IV — if the IV is music vs silence, the DV should be ‘the number of words recalled’, not just ‘memory’.
True or False?
It is possible to have a qualitative dependent variable.
False.
It is impossible. The DV must be measurable, so it is always recorded as quantitative (numerical) data.
Define extraneous variables.
An extraneous variable is any variable other than the IV that could affect the DV.
Why is it important to control extraneous variables?
If they are not controlled, the researcher cannot be sure that the IV caused the change in the DV.
Give three examples of extraneous variables.
Time of day — some participants are ‘morning people’; temperature — too warm or cold affects performance on the task; and mood.
Psychologists study how human behaviour is affected by various factors, which are called .
Psychologists study how human behaviour is affected by various factors, which are called variables.
Dr Winkleman tells one group that most people lie in police interviews, and tells the other group nothing. Both watch the same interview and count the lies. What is the IV?
Whether participants are told that most people lie in police interviews, or are not told anything at all.
Define standardisation.
Standardisation means keeping the procedure identical for every participant and every condition, apart from the IV itself.
Name four things that must be standardised in an experiment.
The instructions; the right to withdraw; the briefing and debriefing; the setting; the timings; and the materials.
Why must instructions be written out word-for-word in advance?
So that what is said does not act as an extraneous variable — for example, telling one participant to ‘do their best’ but not telling another.
True or False?
Standardisation only concerns the practical running of a study, not participants’ rights.
False.
It also includes telling participants about their right to withdraw at any time.
Why is the setting an important part of standardisation? Give an example.
Participants should be tested in the same environment. This is easier to control in a laboratory than, for example, testing people in different coffee shops.
How should materials be standardised in a repeated measures design? Give an example.
They should be identical, or equivalent in difficulty where the design requires different versions — such as two word lists matched for difficulty, so participants don’t benefit from seeing the same list twice.
Define randomisation.
Randomisation means using chance to decide key aspects of the design, rather than the researcher deciding, as this reduces bias.
Give two ways randomisation can be used in an experiment.
Randomly allocating participants to conditions, such as drawing names from a hat; and deciding the order of items in a word list randomly, so easy or related words don’t cluster together and unfairly help recall.
What is a limitation of randomisation?
Chance can still produce unbalanced outcomes — such as one condition ending up mostly female, or a word list with several words starting with the same letter.
True or False?
Participants can be randomly assigned to a condition in a repeated measures design.
False.
Participants experience all conditions, so random allocation is not possible. Researchers use counterbalancing instead.
Define counterbalancing.
Counterbalancing is where half the participants complete the conditions in one order — A then B — and the other half in the opposite order — B then A.
What does counterbalancing control for?
Order effects, such as practice and fatigue.
How are extraneous variables usually controlled?
By keeping them constant across all conditions, so they affect every participant equally and cannot explain any difference in the DV — such as running conditions at the same time of day, a constant temperature, and treating participants in the same friendly, neutral way.
When does an uncontrolled extraneous variable become a confounding variable?
When it varies systematically with the IV — for example, all Condition A participants tested in the morning and all Condition B tested in the evening, when time of day is not the IV.
A confounding variable means the researcher can no longer tell whether it was the IV or the confound that caused the change in the DV, so the study can no longer demonstrate cause and .
A confounding variable means the researcher can no longer tell whether it was the IV or the confound that caused the change in the DV, so the study can no longer demonstrate cause and effect.
Give one strength of controlling extraneous variables, in terms of validity.
It increases confidence that the IV caused the change in the DV — internal validity.
Give one strength of standardised procedures relating to other researchers.
They allow the study to be replicated; similar results across repeats show the findings are reliable, and let other researchers keep testing the theory — as with Asch’s conformity study, replicated many times in different countries.
Give one weakness of high-control procedures.
Where there is high control there tends to be low validity, particularly ecological validity. The artificial context and tasks can also give rise to demand characteristics.
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