What is reliability in research?
The extent to which research results are consistent. Reliable studies produce the same results when repeated using the same methods.
What is validity in research?
The extent to which a test or research study measures what it claims to be measuring.
What is internal validity?
How well a study measures what it intends to measure, especially whether the DV changes solely due to the IV.
What increases internal validity in experiments?
Controlling extraneous variables and using a control group.
What is external validity?
The extent to which research findings can be generalised beyond the research setting.
What are three types of external validity?
Ecological validity, temporal validity and population validity.
What is ecological validity?
The extent to which research findings reflect real-world behaviour and settings. This is mainly indicated through the research being conducted in a natural environment.
What is population validity?
Whether the results can be generalised to the wider population beyond the sample used.
What is temporal validity?
Whether the findings of a study still apply at a different time or era.
What is an independent variable (IV)?
The variable that the researcher changes or manipulates in an experiment.
What is a dependent variable (DV)?
The variable that is measured; it is affected by the IV.
What is a control group?
A group not exposed to the IV; used as a comparison to test the effect of the IV. Used a baseline measure of behaviour.
Why is a control group important?
It helps establish cause and effect, improving internal validity.
What is an extraneous variable?
Any variable other than the IV that could affect the DV if not controlled.
What is a confounding variable?
An extraneous variable that wasn’t controlled and has affected the DV, reducing validity.
What are situational variables?
Aspects of the environment that may affect participants’ behaviour (e.g., lighting, noise).
How can situational variables be controlled?
By standardising procedures and keeping test conditions the same.
What are participant variables?
Characteristics of participants (e.g., age, intelligence) that might affect the outcome.
How can participant variables be controlled?
Through matched pairs, repeated measures, or random allocation
What is operationalisation?
Clearly defining variables so they can be measured and tested