Reliability of Qualitative & Quantitative Methods (AQA GCSE Psychology)
Revision Note
Written by: Claire Neeson
Reviewed by: Lucy Vinson
Reliability of experiments
Quantitative methods are those which generate quantitative data, for example:
Lab experiments
Closed questions on a questionnaire
Observations which use a tally chart to record the frequency of specific behaviours
Reliability is achieved if a study has been set up so that the IV can be seen to affect the DV:
If the procedure is replicated, the study should show similar results
Replicating a study and finding similar results shows that the measure is consistent and not liable to fluctuate to any significant degree
If a study is completed using a standardised procedure and obtains the same results, it can be said that it is reliable
Lab experiments are the most reliable method used in psychology as they:
take place in a neutral space under controlled conditions
follow a standardised procedure
use random allocation to conditions
tend to use a control group as a comparison to the experimental group
generate quantitative data which is easy to compare and analyse
Field experiments generate quantitative data and implement an IV but they are subject to an array of extraneous variables over which the research has no control, making them less reliable than lab experiments
Natural experiments generate quantitative data but they use a naturally occurring IV over which the research has no control making them less reliable than lab experiments
Examiner Tips and Tricks
Some experiments (such as Loftus & Pickrell) use qualitative data (in this case an account of being lost in a shopping mall as a child) but then translate this into quantitative results e.g. 25% of participants recalled the false memory. Remember this when you are in an exam: it is the way in which the results are reported rather than how the results were obtained that determines whether the study uses a quantitative or a qualitative method.
Reliability of questionnaires
Questionnaires are a reliable self-report method as they:
Tend to use all (or mainly) closed questions
Closed questions generate quantitative data which can be analysed and translated to graphs, percentages etc.
Use a standardised set of questions
Are likely to show consistency i.e. people are unlikely to radically change their answers from one testing session to the next
The reliability of a questionnaire can be assessed using two methods:
The test-retest method measures external reliability:
The same participants are given the same questionnaire at separate time intervals (e.g. with a 6-month gap between testing sessions)
If the same result is found per participant then external reliability is established
The split-half method measures internal reliability:
The researcher splits the test in half and analyses the responses given to the first half of the questionnaire compared to the second half of the questionnaire
If similar responses are given in both halves then internal reliability is established
Reliability of observations
For an observational study the researchers will have previously agreed on which specific behaviours should be recorded so that all observers are in agreement before the observation
Researchers can test the reliability of their observations by comparing them with another researcher's recording of their behaviours: the level of consistency between the two records is then compared
Inter-observer reliability is the level of consistency between two or more trained observers when they conduct the same observation, as follows:
The observers compare the two independent data sets (often designed as a tally chart)
They then test the correlation between the two sets
If there is a strong positive correlation between the sets then this shows that there is good inter-observer reliability and that the behaviour categories are reliable
All observers must agree on the behaviour categories and how they are going to record them before the observation begins
The observation is conducted separately by each observer to avoid conformity (i.e. one observer may be influenced by one or more other observers)
After the observational period:
Establishing good inter-observer reliability means that there is less chance that researcher bias has interfered with the observation
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)
Alannah Sugar has conducted research using a questionnaire on the extent to which people boast about their achievements. She wants to test the external reliability of her questionnaire.
Question: Outline how Alannah will test the external reliability of her questionnaire. [2]
Model answer:
Alannah should use the test-retest method.
In 6 months she should invite her original participants to fill in the same questionnaire and then look for consistency across both questionnaires.
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