Researching Mental Health Flashcards
(43 cards)
What is primary data?
Data that you collect yourself as a researcher using first hand methods such as experiments, observations and interviews
What is an example of a researcher collecting primary data?
Rosenhan gathered primary data first hand through observing the activity of pseudo patients in mental health hospitals
What is secondary data?
Using and analysing pre existing primary data. It may used or analysed in a different way or to answer a different question.
What is an example of secondary data?
Carlsson et al (2000) who conducted a review of research which investigated the effects of neurotransmitters in the development of schizophrenia
In what way is primary data better than secondary data with regards to validity?
It is gathered for the intended purpose of the study and is more likely to be focused on that purpose and have controls to fit whereas secondary data is used for a different aim
Why does primary data have temporal validity?
It is likely to be gathered at the time of the study and conclusions will be drawn at the time and so will be more valid
Why can secondary data be more practical?
It is much cheaper as it already exists for the researchers use and therefore does not cost as much to obtainas there are no participants or experimental tasks
Why is secondary data often more generalisible?
It is from different sources and large quantities can be obtained, so there can be more detail and room to compare
Why does secondary data require fewer ethical considerations?
As it does not outline the procedure and can even analyse research that it now deemed unethical
What are meta analyses?
They involve looking at secondary data from multiple studies conducted by other researchers and drawing the findings to make overall conclusions
Why might a researcher choose to do a meta analysis?
When an area of research has inconsistent findings or when conclusions cannot be drawn
What happens in a mete analysis if a number of studies seperately find the same answer?
Those studies can be analysed together and the answer can become stronger as the studies support one another
What is an example of a meta analysis in psychology?
Stafford et al (2015) did a meta analysis looking at treatments of psychosis and schizophrenia in children and young adults. 27 studies were used and they found that APs were good for adults and children
What is the main benefit of meta analysis?
Conclusions can be drawn from a large amount of data very quickly and at much less cost than if the data was primary, also no ethical concerns
Why is it good that meta analyses involved statistical tests?
It means that the power of the statistical result is larger than the result of single studies as there is a larger sample
How might a meta analysis be able to generalise about the universality of an issue?
Studies may be from different cultures so they can draw cross cultural conclusions
What is a major diadvantage of meta analyses?
The researchers do not have involvement in gathering the data directly, so there may undisclosed issues of reliability and validity
What is the difficulty that meta analyses face concerning research methods?
The studies are unlikely to be identical in their research methods, procedure, sampling and decision making meaning they might not be comparable
What is the issue of publication bias that meta analyses face?
Research that produces null effects may not be published and therefore would be ignored by meta analytic reseaech
What is a longitudinal study?
A study that takes place over a long period of time and often involves comparing a single sample group with their own performance over time
What might clinical psychologists be measuring in a longitudinal study?
Monitoring changes in symptoms in a patient undergoing certain treatments
What is a benefit of longitudinal studies?
They follow the same people over a period of time so there are no individual differences that might affect the results
What is a benefit concerning cause and effect conclusions with longitudinal studies?
It is easier than if you used a cross sectional design where different people are studied as only age changes, no other individual differences so you can be sure your IV is affecting your DV
What is a weakness of longitudinal studies?
Participants are likely to drop out as it takes place over a long period of time, perhaps due to death, and there may be something about these participants that makes them not finish, makes them less generalisable