What is the aim of studies?
Studies aim to look at how one variable or factor that
changes (the independent variable) affects something else
(the dependant variable), while keeping all other variables
the same (controlled).
What are the 5 features of a good study?
What are the 5 Characteristics a good study should have?
Valid– an investigation that is properly designed to
answer the questions being asked
Precise– measured in a way that can be
reproduced
Reliable– can be replicated by different people on
different occasions
Non biased – not influenced in a particular
direction
Accurate– an investigation that reaches the proper
conclusions or gets close to the true values
What are the three types of studies?
Longitudinal study – a study carried out over a long period of time.
Case-control study – an observational study where the subjects are
not randomized to the exposed or unexposed groups. In a case-control
study the outcome is usually known and the investigator is trying to
figure out what caused it. In case control studies, a group of people
that have the disease (cases) are compared with a control group
who do not have the disease. This is a retrospective study.
Cohort study – is an observational, longitudinal study that uses a
cohort, meaning a group of people with common characteristics. The
outcome is unknown until after the study. Cohort studies follow a
group of people over time to see who develops the disease and who
does not. It is prospective, meaning you want to see who develops
the disease.
When scientists design a major study, what can they
do to try and ensure their results will be both valid
and reliable?
Large sample sizes
Carry out the study over a long time
Isolate the factor being studied while keeping all
other factors constant
What is a random error?
Random error = a component of ‘measurement error’ that is due
to unpredictable factors that cannot be determined or controlled.
This effect can be minimised by taking many measurements.
Values lying randomly above or below a true value
What are the two types of errors?
Random error
Systematic error
What is a systematic error?
Systematic error = the extend to which data or conclusions have
been obtained from an investigation that has been suitably
designed to test the hypothesis.
These are values differing from the true value by the same
amount
What is validity?
the extend to which data or conclusions have been
obtained from an investigation that has been suitably designed to
test the hypothesis
What is a Experimental Group?
– the group that is given a medicine or has a
particular characteristic eg. High fat diet
What is a Control Group?
– the group that is given a medicine or has a
particular characteristic eg. High fat diet
What is a Null Hypothesis?
in statistics the starting hypothesis states that
there is no difference between the two groups being tested.
What is a Alternative hypothesis?
an alternative
hypothesis that states that there is a difference between two
groups. This needs to be proven using statistical tests.
What is Statistical testing?
statistical tests used to analyse the data and
determine if the null or experimental hypothesis are correct