Zusammenfassung der Ressource
Research Methods-Part 1
- Define research
- The process of gathering knowledge
- Define research methods
- Different ways of conducting
experiments, questionnaires,
interviews,
correlation,observations or case
studies.
- Define a sample
- When a target population is too big to be
tested therefore a fraction of the
population is investigated instead
- Define a target population
- A large group that the researcher wishes
to study. A sample is drawn using
sampling techniques
- Define stratified sampling
- A sample of proportional representation of the population.
The sample which is broken into smaller sub-groups which is
proportional to the sample. Eg: If 40% of the population
was male, 40% of the sample should be male
- Advantages
- It is very representative of the target
population as every sub-group is
represented in the sample therefore results
are more genralisable.
- Disadvantages
- It is very time consuming as it takes
time to divide the population into
sub-groups and to select the correct
proportion from each.
- Define random sampling
- This is where each member of target population
has an equal chance of being selected eg:
putting the target population on separate
pieces of paper and putting it into a hat or
container.First 'x' names drawn from the hat
will be the sample.
- Advantages
- Researcher has little influence on who
is being selected therefore there is no
researcher bias. Everyone has an
equal chance of being selected.
- Disadvantages
- Its time consuming and difficult to
carry out on a large sample. Also it
does not garantee that the sample
will be representative of target
population.
- Define systematic sampling
- This is when target population is arranged in
an order (eg alphabetical) and then it uses a
method of systematic selection (eg every nth
name) until desired sample size is reached.
- Advantages
- The researcher has little influence over who is being
selected therefore there is no researcher bias.
- Disadvantages
- It may not be representative of the targer population. Also not everyone
has an equal chance of being selected causing issues in genralising
results.
- Define an independent variable
- A factor which is altered or manipulated by the researcher to look for
an effect on another variable .This factor usually produces two
conditions for the study.
- Define a dependent variable
- The factor that the researcher measures to see id the independent variable has affected it
- Define extraneous variables
- Any other factors other than the independent
variable the could affect the DV and hide the
affect of the IV
- Anomalous result
- An extremely high or low result that does not
match the other results in a set order. It has an
affect on mean and range and should be
discarded before any further calculations are
made.
- Standardised procedures
- How
- Participents should have the same experiences
when taking part in an experiment:same place,
conditions and at roughly the same time.
- Why
- Makes the experiment unbiased If treated
differently, the internal validity can be
affected.
- Standardised instructions
- How
- Participents are given the exact same set of orders
which are written down especially when given a task.
This avoids researcher bias in tone of voice . Orders
must be clear , unambiguous and simple
- Why
- So the researcher can be sure that the
difference in results is due to the
independent variable and not what they
were told to do in the experiment.