Researchers must have the SAME training and use the same behaviour categories
Two psychologists conduct the observation/content analysis/ study independently
They check for agreement and if they find similar results it is reliable
This could be done by using a correlation, a strong positive correlation of +0.8 shows the observers gave similar results - so has reliability
Inter-observer reliability simplified:
Same training
Independently study
Agreement
Strong positive correlation of +0.8
Improving inter-observer reliability:
Training: Give the observers better training so they can identify the behaviour
Operationalisation: Make sure both observers are clear on what theyre looking for - could be checked using pilot study
View of behaviour: Video the behaviour and let the observers view the same behaviour
Test-retest reliability:
A test would be given to a participant on two different occasions and the scores are compared
If they find similar results it is reliable
This could be done by using a strong positive correlation of +0.8 or above
Validity: extent to which a test measures what it intends to measure
Internal validity:
findings are due to the IV and nothing else
We can establish a true cause and effect relationship
Improving:
Extraneous variables must be minimised - controlled environment EVs are easier to control
External validity: Ecological validity
Results can be generalised to the real world
Improving:
conduct in more natural environments
Use tasks that represent everyday life
Use materials that represent everyday life
External validity: population validity
results can be generalised to the rest of the target population
Improving:
Conduct studies on large sample sizes
Use random/stratified sampling
Conduct research cross-culturally and across different ages and genders
External validity: Temporal validity
results can be generalised to the modern day
Improving:
do the test again in the modern day to see if results are still accurate
Assessing validity: Concurrent validity:
Involves assessing how closely the scores on a test match a different measurement
High concurrent validity is when there is a close agreement between the data produced by the new test compared to the established test - indicated if both tests exceeds +0.8