The ability to manipulate the IV, control the extraneous variables and affect the DV
experimental control
More experimental control means we can.
A factor that is not the focus of the experiment, but can affect the results if not controlled
extraneous variables
A variable that can affect the temporal order or change the DV that is not the IV
confounding variable
When an experiment consistently alters their behaviour towards participants depending on what condition the participant is in
systemic bias
Different participants are randomly assigned to each condition
between-subject design
Each participant engages with more then one condition
within-subject design
Changing the order of conditions that participants participate in
counterbalancing
Experiment with only one IV, but the IV must have two levels (conditions)
single-factor design
The group that gets the change or active level of the IV
experimental condition
The group that does not receive treatment
control condition
Advantages of between-subjects design
disadvantages of between-subjects designs
A type of between-subject design where participants are randomly assigned to various conditions of the experiment
independent-groups design
The conditions are randomly assigned at every level and every possible point
Block randomization
A characteristic on which we match sets of individuals as closely as possible
matching variable
A set of participants is matched based on attributes and then is randomly assigned to conditions
matched-groups designs
Selecting participants and groups based on personal characteristics
natural-groups design
A personal characteristic that we want to study
subject variable
A procedure in which each member of a poluation has an equal probablitity of being selected into the sample
random sampling
participants are randomly selected to a condition and has an equal probablility of being in any condition
random assignment
participants are randomly selected to a condition and has an equal probablility of being in any condition
random assignment
Advantages of within-subject designs
Disadvantages of within-subject designs