anything that might influence something else
factor
any measured factors
variable
has an independent variable
two or more conditions
-control
-expiramental
a special kind of research design
true experiment
-Sometimes there are no control conditions, just two experimental conditions
A condition where nothing special is done
control condition
A condition where something special is done
experimental condition
What is the only kind of research that can tell you cause and effect
true expirament
An experiment creates two realities
cuase
and measures something to see if there’s a difference
effect
The beautiful logic of the true experiment
If you hold everything the same between conditions except the one thing you changed, then any measured difference between the conditions must be caused by the thing you changed.
The thing the researcher changes between conditions
“cause”
independent variable
Outcome of interests, the thing you measure, the differences should come from the independent variable
“effect:
dependent variable
in an experiment, anything that differs between conditions other then the independent variable is a ______
confound
Why are confounds bad?
breaks the beautiful logic
rival hypothesis for results
Multiple causes can explain any change in the dependent variable (we can’t tell which
Decreases internal validity
don’t know cause and effect
a fake procedure or substance
-usually given to control groups/conditions
placebos
why use placebos?
helps separate the effect of a chemical from the effect of expectation, helps keep everything the same between conditions
-prevents confounds
–protects beautiful logic
How you sample your population
-select people to study
subject selection
is how you put them into groups, how you assign them to conditions
subject assignment
groups each have equal traits
matched pairs(for small groups
is a good way to make groups for Formed groups should be similar
random assignment(for bigger group
subjects not randomly assigned to conditions
quasi experiments
-confound: the groups differ in so many ways that one can’t tell the cause and effect
They are more like a correlation (correlation doesn’t mean causation.
Neither the research nor the participants know the condition the participants are in.
double blind
why do double blind
to prevent
-observer bias(researcher sees what they want to see
-demand characteristics/ expectancy effect
An experiment can give away what is expected or may influence the subject.
What is the golden standard of experimental design?
-randomized
-double blind
-placebos
-controlled studies
How research measures an idea
how a concept is turned into a number
operational definition