What is low ecological validity?
When the study environment isn’t reflective of real life, so results can’t be generalised to behaviour in the real world.
Ecological validity is crucial for ensuring that research findings can be applied in real-world settings.
How can ecological validity be improved?
By making the setting realistic and the task more appropriate to real life.
This involves creating conditions in a study that closely mimic real-life situations.
What is low population validity?
When the sample isn’t representative enough of the target population, so results can’t be generalised to the target population.
Population validity is important for the generalizability of study findings.
How can population validity be improved?
By making the sample more representative using sampling methods such as stratified or random sampling.
By using a wider variety of people in the sample
A wider variety of people in the sample enhances the representativeness of the findings.
What is low temporal validity?
Low temporal validity is when results can’t be generalized to modern-day behaviour as the study was done in a different time period.
Retesting new participants on older research can help test temporal validity.
How can low temporal validity be improved?
Retest new participants on older research to test temporal validity.
However, studies that are unethical are not retested.
What factors can affect internal validity?
Extraneous variables and confounding variables,
investigator bias,
demand characteristics,
social desirability bias.
These factors can compromise the accuracy of a study.
Define extraneous variables (EVs).
Any variable other than the independent variable that may affect the dependent variable if not controlled.
Do not vary systematically with the Independent variable
EVs are essentially nuisance variables that do not vary systematically with the IV.
What are confounding variables (CVs)?
Any variable other than the independent variable that may have affected the dependent variable preventing certainty about the changes to the dependent variable.
CV vary systematically with the independent variable
CVs can complicate the interpretation of results.
How do extraneous and confounding variables affect study accuracy?
They can lead to inaccurate measurements of the effects of an independent variable on a dependent variable.
If present, researchers cannot be sure they have only measured the effects of the IV.
True or False: Extraneous variables systematically vary with the independent variable.
False.
EVs do not vary systematically with the IV.
Fill in the blank: _______ are variables that do not vary systematically with the independent variable but can still affect the dependent variable.
Extraneous variables.
These variables can introduce noise into the study results.
What are situational variables?
Things in the environment that affect one condition of the independent variable (IV)
Situational variables can lead to low internal validity if they cause findings instead of the IV.
How can you improve situational variables?
All participants must have the same environmental conditions
What must all participants have to ensure a standardised procedure?
The same environmental conditions
This helps maintain consistency across the experiment.
What are participant variables?
Features of the participant (individual differences) may account for their results rather than the intended change in the IV
Examples include intelligence, age, or background.
What is a repeated measures design?
Using the same participants in both conditions of the IV
This design helps control for participant variables.
What is a matched pairs design?
Matching participants on criteria that could be an extraneous variable (EV) like intelligence and would do the different conditions of a study
This approach aims to control for individual differences.
What is investigator effects bias?
When the researcher influences the participants in a way that affects their behavior
This can result in inaccurate outcomes in the study.
How can you remove investigator bias?
Double blind trial
What is a double blind trial?
A trial where neither the researcher nor the participants are aware of the aims of the study and know the study details
This helps eliminate bias from both parties.
What are demand characteristics?
When participants have guessed the aim of the study and have changed their answers of their behaviour to help or spoil the study therefore affecting their accurate behaviour.
This can lead to biased results if participants alter their responses based on their perceptions of the study’s purpose.
How can you decrease demand characteristics?
Double blind trial - neither researcher nor participants are aware of the aims
Deception - participants are unaware of the real aims
What is the purpose of using deception in studies?
To hide the aims from participants so they cannot figure out what the study is about.