Complete glossary Flashcards
Case study
A rich, detailed study of one person or group. Often lacks population validity.
Content analysis
The use of themes or categories to turn qualitative data into quantitative data which allows for easier analysis.
Control
Minimisation of extraneous variables causing an impact on the dependent variable.
Controlled observation
An observation with lots of control, often using pre-defined categories.
Correlational analysis
The measuring of the relationship between to variables without manipulating either of them.
Correlation coefficient
The extent to which two variables share a relationship.
Counterbalancing
When one half of the group of participants completes the conditions opposite to the other half to prevent order effects.
Covert observation
An observation where the participants don’t know that they’re being observed.
Demand characteristics
The change of behaviour of participants due to knowledge that they’re in a study.
Ecological validity
The extent to which we can generalise the results to the real world.
Event sampling
The recording of an event every time it happens.
External validity
The extent to which the results can be generalised to either other people or to real life.
Extraneous variable
Variables controlled to make the experiment a fair test.
Field study
A study which takes place in a real/ natural setting where the independent variable is manipulated.
Independent groups design
A design where different participants complete different conditions of the independent variable.
Internal validity
The extent to which the test is really measuring what it sets out to measure.
Inter-rater reliability
Consistency of results between the observers.
Interval date
Numerical data which has strict intervals
Investigator effects
When the researcher influences the results or the behaviour of the participants
Lab study
A study in an artificial surrounding, which has control over the independent variable.
Matched pairs design
A design where different participants are matches so they are similar, however they complete different independent variables.
Meta-analysis
A way of drawing all the data from studies in a topic area together to form overall conclusions.