laboratory location is the most scientific way to carry out research
strengths of lab location:
control over extraneous variables
high reliability as it can be replicated
possible to use equipment eg. brain scan machines
weakness of lab location:
lacks ecological validity
high chance of demand characteristics
field location = the most natural way to investigate behaviour as research is carried out in a real life setting
strengths of field location:
high ecological validity
less chance of demand characteristics
weakness of field location:
difficult to replicate
difficult to use scientific equipment
online location= behaviour is investigated through using websitesto access ppts and usually questionnaires
strenghts of online location:
can access large and diverse groups
cost effective
weakness of online location:
methods often limited to questionnaires
ethical issues such valid consent and dealing with psychological harm
experiments = a research method where the IV is manipulated by a researcher to measure the effect on a DV
the main features of an experiment:
manipulation of an operationalised IV
effect of changing the IV is measured on the DV
ppts in control and experiment group
aim is to establish cause and effect
conducted in lab or field
strength of experiments:
higher internal validity to establish cause and effect
can often be repeated = high external reliability
weakness of experiments:
lack internal validity as theres a high risk of demand characteristics
lack ecological validity as the researcher artifically manipulates the IV
quasi experiment= research method where the IV is naturally changing and the DV is still measured
the main components of quasi-experiments:
naturally changing IV
DV is measured
can involve a natural experiment or difference study
researcher has no control over allocating ppts
strengths of quasi:
research a broader range of behaviours where it is impractical or unethical to manipulate the IV
high ecological validity
weakness of quasi:
difficult to establish cause and effect as the researcher doesnt control the IV or extraneous variables
often difficult to establish external reliability as it cannot be repeated
observations= one method for collecting research data. It involves watching a ppt and recording relevant behaviour for later analysis
participant observation= researcher observes behaviour whilst part of the group eg. joining a cult
non-participant behaviour= researcher is seperate from the group whilst observing their behaviour and does not interfere. Data is collected from a distance eg. video camera
strengths of ppt observation:
can gain an in depth understanding and wont miss out on important aspects
access to behaviour and attitudes/feelings
weakness of ppt observation:
greater chance of bias which lowers the internalvalidity
researcher may be overwhelmed with the amount of data and have difficulty recording it
strengths of non-ppt observations:
researcher can e more objective which reduces the chance of bias and increases internal validity
more able to manage the amount of data and recording
weakness of non- ppt observations:
may miss out on parts of behaviour eg. feelings and motivation
controlled observation= conditions are manipulated by the researcher and may be carried out in a lab
naturalistic observation= watching natural behaviour in a natural behaviour with no manipulation of variables
overt observation= ppts are aware they are being observed and the researcher is clearly visible to ppts
covert observation= observations are conducted without the knowledge of the ppts through hidden observer, secret cameras or two way mirror
event sampling = counting a number of times a behaviour occurs across the whole event with no set time period
time sampling = counting behaviours in a set time frame
designing observations:
decide what behaviour is being observed
decide on location and time length
covert or overt and ppt or non ppt
produce behavioual categories
decide on time
how to record
content analysis= indirect observation of an artefact. This usually involves turning qualitative into quantitative by identifying themes
main features of content analysis:
indirect observation of an artefact
involves identifying categories or themes
turns qualitative to quantitative data
can also produce qualitative data
artefacts are usually sampled through opportunity
designing content analysis:
create an aim
read/ view video
identify themes
re read or watch and tally each time they appear
present quantitative data in a graph
or describe the categories
strengths of content analysis:
high ecological validity
easy to assess to reliability of the findings and conclusions
weakness of content analysis:
potential research bias
hard to establish cause and effect and it only describes data
self report methods = questionnaires and interviews