research design Martijn Flashcards
what is a confounding factor?
A variable that affects both the independent and dependent variable
3 types of purposes of research
- exploritive studies
- descriptive studies
- explanatory studies
Design of simple but effective research:
- improves effectiviness of
statistics - avoids wasting time and
money - avoids human, animal
suffering or ecosystem
disturbance - minimizes random
variation - accounts for confounding
factors
Simpsons paradox:
er is een positieve trend voor elk van twee afzonderlijke groepen, maar er verschijnt een negatieve trend als de data wordt gecombineerd.
a hypothesis should always be:
- Be relevant to the research question
- Explain what you expect to happen
- Contain an independent and dependent variable
- Be clear and understandable
- Be testable
- Be measurable
control group:
een control group is identiek aan de treatment group. Dit betekent identiek van alle kanten -> ze moten dezelfde strain hebben, zelfde condities en from the same source
waarom een control group?
A control offers a baseline against which the
other treatment values can be compared
wat is een negatieve controle?
Een negatieve controle is een groep in een experiment die geen enkele behandeling krijgt en daarom geen verandering mag vertonen tijdens het experiment
positieve controle
een positieve controle is een groep in een experiment die de benoemde behandeling krijgt, waardoor verwacht wordt dat het een bepaald effect krijgt
Concurrent control
A concurrent control is a subject enrolled simultaneously with the treatment group from the same source population and followed for the same study period
historical control
a historical control is a subject treated in the past with the standard form of care whose outcomes are used to compare with patients receiving the treatment
Pilot studies can:
- Je kennis laten maken met het onderzoekssysteem
- Valideer de biologische vraag (check)
- Oefen en valideer technieken
- Standaardiseer methoden tussen waarnemers
Om de hypothese duidelijk te verklaren is nodig:
- strongest evidence
- Controls
- Pilot study & preliminary data
difference hypothesis and prediction
A hypothesis explains why
something happens while a prediction suggests that
something will happen
random variation (inherent variation, background variation, within-treatment variation, extraneous variation or noise)
any variation in the dependent variable between individuals in our sample that cannot attributed to the independent factors.
Replication is important:
-To account for between-individual variation
-To reduce chance when measuring a factor that is high variable (i.e.»_space; SD standard deviation), i.e. extreme outcomes are less likely by chance.
-As random variation gets less (cancelled) when the sample size increases
-As the mean becomes more precise as sample size increases and it becomes easier to discriminate between two populations
-As it allows to estimate variation in populations
-As it allows statistics
sample:
to select individuals from the population to be measured
Sampling methods:
1)Simple random
2)Stratified
3)Cluster
4)Convenience
5)Self-selection
Simple random sampling:
- Use random number
generator to select
samples - Every individual should
have equal chance of
being added - The larger the sample the
more likely that it will be
representative - Sometimes access to data
of all subjects can be
difficult or impossible
Stratified sampling:
- Depends on variable to
strongly affect the factor
of interest - Requires good
information on the
distribution of the strata
variable
Cluster sampling:
- Reduced effort, if
individuals occur in
natural clusters - Be careful not to change
the sample population - Pay attention to
practicality and risk of
interaction within a
cluster
Problems convenience sampling:
- Selection bias = some
suitable subjects are
more likely to end up in
your sample than others - Recruitment bias = a
relation between trait we
are interested in and
willingness to be in the
study - External validity = the
extent you can generalize
your findings to the whole
population
Convenience sampling:
- is not as methodoligical
as the other sampling
methods - its an simple way of
sampling if you dont have
enough money or
recources. - scottish height of ten year
olds zoo
self-selection
- Limits usefulness (e.g.,
phone polls are not
random, and not
everybody responds to an
ad) - In human studies self-
selection is almost
inevitable - Minimize self-selection
and evaluate the
consequences