methods Flashcards
longitudinal research
- takes place over long period of time
- can include qual and quant
- performance over time - development seen through patterns in measurements
clinical examples; longitudinal
- monitoring changes in symptoms
in a patients group undergoing a certain treatment. - measuring symptoms/ severity at certain intervals over time
- see how effective treatment is
longitudinal; strengths
because these studies involve the use and collection of data in long periods of time, they can determine patterns efficiently. by using them, it would be possible for researchers to learn more about cause and effect relationships and make connections in a clearer manner.
longitudinal; weakness
time is a huge disadvantage as it typically takes a substantial amount of time to collect all data that is required. also, it takes equally long periods to gather results before the patterns can start to be made.
risk experiencing attrition
cross sectional studies
- usually use a large group of people in the sample to get a good cross section of the target pop, eg. diff age groups.
clinical example;
experience of people at different ages suffering sz
take sample of participants at diff ages at the same time and investigate them.
cross; strength
- no problem with attrition as people less likely to drop out as its not done over a long period of time.
- reasonably cheap and quick to carry out as people usually only tested one time only.
cross; weakness
less rich, detailed data obtained
harder to developmental changes
cross cultural
taking samples from different cultural groups to draw comparisons about the similarities and differences between them to consider how culture impact them differently.
clinical example;
if disorders like sz have differences in disorder progression across diff culture.
cross cultural; strength
- if there are similarities in behaviours across cultures then it can be said to have an evolutionary basis.
- more validity as findings reported at the time rather than years later.
cross cultural; weakness
might be bias in the cultural groups selected
researcher might analyse the data with biases of their own culture and this might marginalise groups
meta analysis
analysing secondary data from multiple researchers
can include range of methods and be quant or qual
the researcher conducts a literature review
clinical; Carlson
meta analysis; strength
- large amount of data can be obtained quickly and cost effectivly
- none of the ethical concerns of obtaining data first hand
meta analysis; weakness
- may be undisclosed issues with reliability and validity of which the researcher is not aware due to not collecting first hand.
primary data
info researcher gathers themsleves
strengths=
- potentially be more reliable and valid
weakness=
- more time consuming
- need to consider ethical issues
secondary
relies on evidence that has been found by others
strengths=
- quicker
- no ethical concerns as studies have already been conducted
weakness=
no way of knowing how reliable and valid research is
conclusions drawn may be flawed.