Pros And Cons Of Reseaech Designs And Sampling Flashcards
PROS OF REPEATED MEASURES
Using the same participants as the E-group and the C-group means
that confounds caused by ‘participant variables’ will be eliminated. It is also
possible to use fewer participants than with other designs.
CONS OF REPEATED MEASURES
The repeated measures procedure takes a long time – participants
have to take part in both conditions, so ‘drop-outs’ are likely. The procedure can
also suffer from confounding variables known as order effects:
– Participants may perform better on the task when doing it a second time
because of the effect of practice.
– Participants may do worse the second time because of fatigue or boredom.
COUNTERBALANCING
. In the
counterbalancing procedure, half the participants will first perform the task with the
IV present (experimental condition) and then perform the task with the IV absent
(control condition). The other half of the participants will experience the conditions
in the reverse order. Random selection should be used to decide which participants
perform the tasks in which order.
MATCHED PARTICIPANTS
In the matched participants design a researcher identifies a variable that is a likely
confound, and eliminates the effects of this variable from the experiment. Participants
can be ranked in accordance with their scores on this variable and then allocated to
the respective groups.
PRO OF MATCHED PARTICIPANTS
Advantage: The variable on which the participants are ‘matched’ will not influence
the results because its effects will be the same in the E-group and the C-group.
CON OF MATCHED PARTICIPANTS
It is very time-consuming (and therefore expensive) to find out the
value of this variable for each participant. Also, if one of the pair drops out, the
scores for the other must also be eliminated.
PRO AND CON OF INDEPENDENT GROUPS
Advantage: The independent groups procedure can all be done at once and dropouts
are unlikely.
» Disadvantage: The procedure needs a large number of participants to ensure that
the spread of participant variables in the sample will match the spread in the
population.
PRO AND CON OF RANDOM SAMPLE
Gives representative sample -
participant variables spread in same
proportion as in population
Difficult to achieve - the larger the
population, the harder it is to list
all individuals
PRO ANF CON OF STRATIFIED
Eliminates the effect of the variable on
which the sample is stratified
Time-consuming; expensive
STRATIFIED
Dividing population into categories
and selecting at random in proportions
equivalent to population
PRO AND CON OF CONVENIENCE
Quick, easy, cheap - this is the
most common method of sampling
Bias in sample
OPERATIONALISE
STATED IN TERMS OF HOW ITS MEASURED