Formulation of Testable Hypotheses (AQA GCSE Psychology): Revision Note
Exam code: 8182
The alternative hypothesis
A hypothesis is a precise, testable statement of the relationship between the variables being investigated
The alternative hypothesis predicts that the independent variable (IV) will affect the dependent variable (DV)
It is the hypothesis of a difference between conditions
The alternative hypothesis must include both the IV and the DV, and both must be operationalised, for example:
Operationalised IV = whether children observe an aggressive or a non-aggressive adult model
Operationalised DV = the number of imitative acts of aggression the child performs
A non-directional alternative hypothesis of difference for the above study on aggression could be written as:
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
A hypothesis of difference can also be written directionally, predicting which condition will score higher, e.g:
Children who observe an aggressive adult model will perform more acts of imitative aggression than children who observe a non-aggressive adult model.
Hypotheses for correlational studies
Correlational studies do not have an IV and a DV
Instead they measure two co-variables to see whether they are related
The hypothesis therefore predicts a relationship (correlation), not a difference, and both co-variables must still be operationalised, for example:
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
The matching null hypothesis (see below) predicts no relationship:
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
A correlational hypothesis can also be directional, predicting the type of relationship: positive (both rise together) or negative (one rises as the other falls), e.g:
As hours of sleep increase, the number of marks scored on the test will increase
Examiner Tips and Tricks
Match the wording to the method. An experiment gets a "difference" hypothesis; a correlation gets a "relationship" hypothesis.
Writing "there will be a difference between sleep and test scores" for a correlational study is a common way to lose marks.
The null hypothesis
Researchers must allow for the possibility that the IV has no effect on the DV, so a null hypothesis is written alongside the alternative hypothesis
The null hypothesis predicts no difference between conditions
The null hypothesis must be the direct opposite of the alternative hypothesis: same conditions, same operationalised DV, for example:
A researcher predicts that loud music harms memorising:
Participants will recall fewer words from a list when loud music is playing than when memorising in silence
The matching null:
There will be no difference in the number of words recalled when memorising with loud music playing compared with memorising in silence
Once the results are in:
If there is no difference between conditions, the null hypothesis is accepted
If there is a difference between conditions, the null hypothesis is rejected and the alternative hypothesis is accepted
The null hypothesis for the study on aggression could be written as:
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
Examiner Tips and Tricks
It is important not to get confused between the alternative hypothesis and the null hypothesis. One way of remembering which is which is to remember that ‘null’ means ‘nothing’ i.e. no difference in conditions.
Worked Example
Here is an example of a question you might be asked on this topic - for AO2.
AO2: You need to apply your knowledge and understanding, usually referring to the ‘stem’ in order to do so (the stem is the example given before the question)
Professor Premleague is sure that drinking cola before a match will improve football player’s ability to score penalties. His IV is whether players have drunk cola (or not) before attempting to score 10 penalties in a row.
Question: Write a null hypothesis the researcher can use in this experiment. [2]
Model answer:
There will be no difference in the number of goals scored (the DV) depending on whether football players have drunk cola or not drunk cola (the IV) before attempting the penalties.
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