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ocr psychology research methods
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strengths and weaknesses of lab experiment
Strengths
extrenious variables controlled for meaning cause and effect can be established
high replicability
high validity and less researcher bias due to level of control
weaknesses
still some extreneous variables remain
low ecological avalibility (not like real life sitchuations) tasks and environment are artficial
chance of demand characteristics (reduces internal)
strengths and weaknesses of field
strengths
higher ecological validity (natural environment)
less demand characteristics as participants don’t always know they are taking part= higher validity
weaknesses
uncontrolled environment= more extrenious variables so cause and effect can’t be established
enethical as consent is not always gained
hard to replicate
strengths and weaknesses of quasi
strengths
higher ecological validity due to IV not being manipulated
more ethical as the participants already have the IV so don’’t give them anything
weaknesses
not classes as ‘true’ experiment as IV not manipulated so it’s not scientific
EVs so cause and effect can’t be established
hard to find participants- smaller sample size- time consuming
strengths and weaknesses of independent measures design
strengths
no order effects
less demand characteristics
weaknesses
need more participant
participant variables differ- lower internal validity, replicability
strengths and weaknesses of repeated measures design
strengths
less participants needed
less participant variables
weaknesses
order effects
possible demand characteristics
strengths and weaknesses of matched participant design
strengths
no order effects
less demand characteristics
participant variables are constant
weaknesses
more participants needed
some participant variables remain
strengths and weaknesses of the mean
strengths
takes all scores into account so it is more representative of all the data
weaknesses
impacted by outliers (will be skewed- artifically inflated/ deflated
not useful when decimal point is not an option for data
cant use in catagory data
strengths and weaknesses of the mode
strengths
not impacted by outliers- not skewed
weaknesses
not representitive as not all scores are taken into account
may be several or none
can’t use on catagory data
strengths and weaknesses of the median
strengths
not impacted by outliers- not skewed
weaknesses
doesn’t take all scores into account representative
can use for category data but not if theres no modal or several modal scores
strengths and weaknesses of opportunity sampling
strengths
sample quickly acquired as it’s easy- larger sample more representitive
sample inexpensive
weaknesses
not representive
gives illusion of being drawn from a large sample when it is genrally drawn from small
strengths and weaknesses of random
strengths
avoids researcher bias as whole population has equal chance of being selected
most representitive
weaknesses
may end up with biased sample as not all selected participants will participate
hard to carry out effectively unless target popuation is very small
strengths and weaknesses of self selected
strengths
ethically sound as participants determine own involvment
less likely to withdraw
weaknesses
must have good advertising to obtain large numbers which can be time consuming and expensive
may be biased and unrepresentitive of target population as volunteers may be different from non
strengths and weaknesses of snowball sampling
strengths
gives you easier access to harder to reach groups
easier to find sample as you only have to find first few
weaknesses
not representitive as sample is likely to be similar
hard to genralise results
strengths of structured observations e.g bcc
S→
you know what you’re looking for/ what to record→ higher internal validity as behavior recorded is relevant
easier to record data as you know what you’re looking for
more reliable as there is a pre-written list of behaviors that another researcher can copy
weaknesses of structured observation
only includes behaviors thought beforehand (some behaviors will be missed if they are not on the list→ lower construct validity)
more observer bias- already have an idea of what you want to see reducing internal validity
you have to train people recording behaviors as they may interpret them differently
strengths are weaknesses of behavioral catagory checklist
S-
fairly simple to use- behaviors are unlikely to be missed by observers
provides quantitative data which can be statistically analysed
W-
gives restricted view so may miss important behaviors if they are not on the list
provides nominal level data which isn’t as precise as interval level data
coding frame strengths and weaknesses
it is where different behaviors can be presented as codes or abbreviations as well as letting you record extra information. this system allows us to differentiate between behaviors
S→ easier to use than BCC due to coding, allows for other variables to be recorded
W→ requires training on the codes, provides qualitative data that has to be converted in the quantitative data to analyse- time
strengths and weaknesses of unstructured observation
S-
you will include all behaviors with not pre-conceived idea about what you are looking for- high construct validity
less observer bias
less incorrect interpretation as there is no pre- written list
W-
you don’t know what you are looking for (less face validity)
harder to record data- less reliable
strengths and weaknesses of time sampling
S-
specific amount of time to record behaviors results in an order of events
easier to replicate
W-
some behaviors may be missed when recording- lowers internal, face, construct validity
keeping track of time can be diffiicult
what are strengths and weaknesses of event sampling
less likely to miss behaviors- more hollistic
no time to keep track of
weaknesses
more difficult to repeat- less reliable
no order of events produced
what are strengths and weaknesses of participant observation
strengths
able to record and monitor data in closer detail
less likely to miss things (observer is part of the group)
provides unique insights
weaknesses
difficult to record and monitor behavior unobtrusively
being a member if the group makes researcher less objective and may increase observer bias
strengths and weaknesses of non- participant observation
strengths
hidden observers can record data using equipment making their data more detailed and reliable
observers can remain objective
weaknesses
ethical conserns of consent as participants are unaware they’re being watched
remaining unaware if the observation means participants won’t change there behavior
cannot ask them how they are feeling- subjective
strengths and weaknesses of naturalistic observation
strengths
participants are in a normal environment so will act in naturalistic ways→ increases ecological validity
less demand characteristics (unaware of observer)
useful for obtaining observations where intervention would be unethical
weaknesses
extrenious variables
not reliable as scientific equipment= obvious
if participants identify observers behaviors may change
what are strengths and weaknesses of a controlled observation
strengths
reliable as scientific equipment can be used
extraneous variables controlled for- higher internal
compared to experiments a greater range of behaviors can be explored
weaknesses
participants are in an unfamiliar environment causing behaviors to be different from normal- decreases ecological validity
demand characteristics and artificial setting will affect responses (different from normal)- lower internal validity
social setting limited- can’t represent complex social settings
strengths and weaknesses of an overt observation
strengths
aware of observations so consent is gained
weaknesses
due to participants being aware of the observation tjey may change their behavior
strengths and weaknesses of covert observation
strengths
participants unaware they’re being watched allowing them to act genuinely- high internal validity
being unaware of study means no demand characteristics
weaknesses
if observers are identified- behavior will change affecting internal validity
no consent- unethical
what are the strengths and weaknesses of using observations
strengths
high ecological validity (normal behaviors)
rich/detailed data on actual behaviors
participants can’t lie
used to generate hypothesis for the future research
weaknesses
lack of control over EVs (low internal validity)
hard to establish cause and effect (no manipulation)
no consent
observer bias
hard to ensure inter-observer reliability unless well trained- expensive
strengths and weaknesses of a questionnaire
strengths
respondents may be more willing to reveal personal/ confidential information
easily replicated and data can be collected from large groups quickly and cheaply (rep & gen)
weaknesses
awnsers may not be truthful (leading questions, social desirability bias) and no chance to clarify
only literate people can fill them in- sample bias
strengths and weaknesses of structured interview
strengths
easier to analyse as answers are predictable
easily replicated as questions are standardised
gains most detailed information from each respondent (plan means info needed is gained)
weaknesses
interviewer bias (interviews expectations influence interviewees answers
reliability impacted due to interviews behavior
not as quick as questionnaires
strengths and weaknesses of unstructured/ semi structured interviews?
strengths
can access additional information that pre-determined questions may not reveal
weaknesses
reliability impacted by interviewers behavior
impacted by interviewer bias- leading questions
requires well- trained interviewers to think up questions on the spot (time and money)
what are the strengths and weaknesses of open questions?
strengths
likely to generate rich data so respondents can full express opinions- increasing face validity
allows elaboration of how/ why people think, increasing face validity
less chance of ambiguous awnsers
weaknesses
time consuming to analyse
hard to compare (spot patterns/ trends)
subjective- researcher bias
strengths and weaknesses of forced choice, closed questions
strengths
generates quantitative data- easier to analyse
easier to compare with other respondents responses
weaknesses
may not reveal full extend of peoples thinking lowering ecological validity
doesn’t allow elaboration of why respondents think this way
strengths and weaknesses of a likhert rating scale
strengths
turns opinions into quantitative data, which is easier to analyse
easy to compare and look for trends/ patterns
large amounts of data collected quickly as it’s easier for respondent to respond (replicable/ genralisable)
weaknesses
different interpretations of numbers- lowers reliability
people select middle value
lacks detail- lowers face validity
strengths and weaknesses of semantic differential rating scale
strengths
easy to compare and analyse quantitative data
easy for respondents to respond- large amounts of data can be collected
weaknesses
must be literate- bias sample
different cultures must have an understanding of language used
children will struggle- less cognitive ability
those who lack mental capacity will struggle
strengths and weaknesses of self report
strengths
can access participants thoughts and feelings- increase validity as you don’t have to infer
less reseacher bias as opinions are asked for so no assumptions are needed- info more useful
weaknesses
no scientific equipment used- information less valid (human error) and less reliable
bias from participant (response and social desirability bias)- lowers internal validity