precise and testable statement of what the researcher thinks will happen
what is an independent variable
variable that is manipulated
what is a dependent variable
variable that is measured
what is a test of difference
the experiment is looking for a difference between 2 variables e.g men and women
what is a test of correlation
the experiment is looking for a relationship between the co-variables correlating with an increase/decrease
what is a directional hypothesis
when there is previous research then a specific outcome can be predicted e.g women are more intelligent
what is a non-directional hypothesis
when there is a lack of research, there is a prediction that the DV will change but no knowledge of what condition will cause this change e.g there will be a difference in intelligence between males and females
what is a controlled variable
variables which the researcher will successfully ensure does not affect the DV
what is an extraneous variable
nuisance variable which does not vary systematically with the DV
what is a confounding variable
varies systematically with the IV therefore we do not know what caused the change in DV
what are systematic errors and give some examples
confounding variables that consistently affect all members of the sample
situation e.g noise + temp
measurement errors e.g broken scales
what are random errors and give some examples
extraneous variables that doesn't have any consistent effects across the entire population
situation e.g noise + temp
participant differences e.g age and IQ
what are demand characteristics
participants are influenced by cues indicating the purpose of the experiment
pleaseU effect
screwU effect
social desirability
what are investigator effects
researchers have expectations of the outcome and this influences the participants' behaviour
e.g facial expressions/design choices
what are order effects
when participants' responses are affected by the order of the condition in which they were exposed
e.g boredom/practise/fatigue
what are participant variables
any characteristic or aspect of a participant's background that could affect the study
what are the 4 types of ways of controlling variables
randomisation
standardisation
random allocation
counterbalancing
randomisation
randomise the material introducing chance therefore taking control away from observer
standardisation
identical location and instructions are standardised
not leading to a specific outcome
random allocation
assigning participants to groups with a random number generator
counterbalancing
sample is divided in half
2 conditions in a different order A+B OR B+A
neutralises order effects
lab experiment
An experiment that takes place in a controlled environment where the researcher manipulates the IV and records the effect on the DV while maintaining strict control of extraneous variables
strengths of lab experiment
easily replicated
high control over confounding and extraneous variables
weaknesses of lab experiment
lacks mundane realism
lacks ecological validity
field experiment
experiment conducted in a natural environment manipulating the IV to see the effect on the DV
strengths of field experiment
high ecological validity
mundane realism
weaknesses of field experiments
less control over extraneous variables
reduces internal validity
harder to replicate
ethics (consent)
natural experiment
an experiment that occurs in a natural setting measures the difference from 2 IV levels
strength of natural experiment
high external validity
limits demand characteristics
weaknesses of natural experiment
can not be replicated
lack of control over variables
quasi experiment
pre-existing from natural IV e.g gender and age and the researcher examines the effect of this on DV
strengths of quasi experiments
allows comparisons between types of people
high ecological validity
weaknesses of quasi experiments
lack of control over variables
not replicable
independent groups
division into 2 groups and each group does a different condition
strength of independent groups
not affected by order effects
not affected by demand characteristics
weakness of independent groups
participant variables as there are different participants in each condition
repeated measures
all participants take part in all conditions of the experiment