1/19
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
|---|
No study sessions yet.
advantages of matched pairs design
controls some pts variables
no repetition effects
less chance of demand characteristics
disadvantages of matched pairs design
difficult to find similar pts (time consuming)
impossible to control ALL variables
needs more pts as each person only participates once
advantages of repeated measures design
controls EV’s
fewer pts needed
high statistical power
disadvantages of repeated measures design
repetition effects
demand characteristics
cannot always be used
name some examples of qualitative data
case study’s
unstructured observation
name some examples of quantitative data
correlations
structured observation
experiment
what is primary data
collected at a different time than the current study
what is secondary data
collected from first hand experience by the researcher for the study being undertaken
what is a meta-analysis
combination of the results of multiple studies on the same topic to produce an overall statistical conclusion
advantages of primary data
likely to measure what it is intended to
obtained from pts for sole purpose or current investigation
disadvantages of primary data
requires time and effort
can be very expensive
advantages of secondary data
relatively easy to collect / minimal effort
desired information may already exist
disadvantages of secondary data
data available may not be high enough quality or accurate
may be incomplete outdated or irrelevant
low internal validity
what is the problem with repeated measures
order effects
what is the solution to order effects
counter balancing
what is counter balancing
when equal number of pts undertake the tasks required of them in a different order
what is counter balancing sometimes referred to as
the ABBA technique e.g. A-B then B-A
how does counter balancing improve order effects
doesn’t remove or prevents the problem but it attempts to minimise the effects
what is the issue with independent groups
participant differences
what the solution for participant differences in an independent group design
random allocation