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investigation methodologies
controlled experiment
modelling
stimulation
fieldwork
types of data
quantitive qualitative
subjective objective
secondary primary
controlled experiment
examines effect of IV on DV to determine cause effect relo
strength of controlled experiment
strict procedures = reduces errors
limitation of controlled experiment
highly controlled setting may change participant’s behaviours
modelling
construction of physical/conceptual model of system
strength for modelling -se
useful for simplifying + explaining unobservable concepts
limitation of modelling
oversimplify or inaccurately rep complex concepts
simulation
process of using model to study behaviour of real or theoretical system
strength of simulation
low health and safety risk to participants
limitation of simulation
artificial enviros change ppls behaviours + lower validity
fieldwork
observing/interacting outside of lab to determine correlational relos
fieldwork strength
insights into thoughts/behaviours of participants
fieldwork limitation
responses can be socially desirable or wrong
systemic error
consistent diff btween recorded and true/expected value
random error
inconsistent diff btween recorded and expected value
personal error
mistakes, miscalcs and observer errors
what causes systematic errors?
observational errors and wrong instrument calibration
how do systematic errors affect results?
reduce accuracy of results
what causes random errors?
poorly controlled or varying measurement procedures
how do random errors affect results?
lowers precision of results
what should happen if a personal error occurs?
study should stop and start again once errors are removed
validity
high moderate low
internal validity
extent to which a study measures what it claims to be measuring
internal validity eg
Did IV cause the change in DV?
what to consider for internal validity
investi method
experimental design
EV CVs
external validity
extent to which results can be applied to similar ppl in diff settings
what to consider for external validity - lss
lvl of reproducibility
sample
sampling techniques