Unit 1 Exam Revision Flashcards
(140 cards)
Independent Variable
The variable you change
Dependant Variable
The variable you measure
Hypothesis
A prediction of the effect of the IV on the DV.
Controlled Variables
variables that are kept the same.
Extraneous variables
anything other than the IV that could have an effect on the DV.
Confounding variables
variables that already had an impact on the DV
Random Sampling
each person in the whole population has an equal chance of being selected.
Stratified Sampling
You manipulate the sample so that one unique characteristic is represented. (e.g 70% of cyclists are male, so you reflect this in your sample).
Convenience Sampling
People are grabbed to take part because they are available.
Control Group
The group not exposed to the IV
Experimental Group
The group that is exposed to the IV
Controlled Experiment
an experiment done under controlled conditions, with only a few factors changed at a time while all others are kept constant.
Correlational Studies
studies where the relationship between two variables is examined but not manipulated/changed.
Fieldwork
Studies done ‘one site’ or away from the laboratory situation so you can get naturalistic data.
Literature review
analysing written material that has already been published - to identify if the experiment is relevant/needed or there are errors.
Case Study
in-depth studies of a unique person or situation which provides rich data.
- To explore an issue in detail.
Primary Data
data collected firsthand by the researcher
Secondary Data
Data gathered from existing sources like journal articles, books or databases.
Between-Subjects design
half the group is allocated to the control group, the other the experimental group, then their results are compared.
Within-subjects design
the whole group does both the control and experimental test.
mixed design
some elements of between, some within.
(e.g sometimes measuring multiple variables at once, or having multiple test conditions)
Justice
fair and equal treatment of all participants
Integrity
being honest and truthful when publishing results regardless of the outcome.
Non-maleficence
Do no harm