*important concepts* Flashcards
having a then b
and b then a
counter balancing
participants and researcher dont know which group is which
double-blind control
small scale study first to see limitations and imprive
pilot study
thing that actually has no affect
placebo
can be a pill
reducing dividing bias
random allocation
can be with wheel spinner, names in hat, flipping coin
researcher knows which group is which, placebo or real
participants dont
single blind control
controls placebo effect
Cross-sectional design:
Comparing two or more groups on a particular variable at a specific time.
Event sampling:
A data collection strategy for observational studies. This is when the researcher makes note only when a specific behavior is observed. For example, only when aggression is observed on the playground.
quantitive data aims
for generalisation and is stistical, can determine % chance and relpicated/compared easily
qualititave data is
subjectivr and hard to analyse but specific to people
can asses findings and potentially generalise
for qualitative the researchder nends to be
professional with subject since it is over as long term their releatinship cant form, and need to pºrotoect participants trust
participant effectsss
reactivity
(act diffrent cause of being watchrd
conformity effrct
social desirsability (dont wanna be judged
expectancy
triangulation
theory tri (cognititive, bio, socioal apporach)
researcher tri
method tri (can prove results are not chance)
relextivity
personal- researcher reflects to see is their own biases have affected
epistemological- they reflect about the method and of thast made a diffrence
a case study is not a
method,
it has many methods but itsself is a collection/report of them
holistic
everything is connected, explained onlw wich the whole image
case studies cant be
repeated, generaslised, data hard to asnaluyse, attrition of participsntds
researcher can delevop releayionships eith aprticipsants
planning something
Type of data colection method
how to mske ethicaln
AIM
data? what type and how to collect
defined variabçes
ethicaç
TRIANGULATION
case studies can be transferability
transferability generalised
depending on sample size, dirversity, location socio-economic makeup
can be more generaslised if many studies have the same result
sturctured invertiws are good for
when researcher wants to know specific things
standardised
can be repeated
sturctured invertiws are bad for
priming from previous q
demand
low eco validity
limit to what can be asked
focus groups are
quick and give more credibility since +1 perdon hears what is said
unstructured interviews
are like tell me what you saw/happened
good for holocaust surfvivours
can ask confrmnation questions but R wont influencer results
hard to standardise/draw concusionsn
