Research methods Flashcards
What is primary data?
It is information that researchers have gathered themselves directly from a group of participants
What is a clinical example of primary data?
Rosenhan as they sent participants to mental hospitals to test the reliability of the DSM and they observed.
What are the strengths of primary data?
- You are reliant
- Appropriate to the study
- Operationalised
- More credible as the data is gathered for a particular purpose
What are the weaknesses of primary data?
- Time-consuming
- Expensive
- Limited by time, location, number and type of participants
What is secondary data?
Relies on evidence that has been gathered by other researchers by accessing peer-reviewed articles or public statistics.
What is an example of secondary data in clinical?
Carlsson did a meta-review on multiple pieces of research to find the relationship between dopamine and neurotransmitters.
What are the strengths of using secondary data?
- Quick
- Easy
- Can check for reliability and validity
- Offers potential for large quantities of data
What are the weaknesses of using secondary data?
- Having to rely on others that the experiment and the findings are reliable
- That may not be appropriate to the study
- The study could have been subjective to interpretations
What is longitudinal data?
Takes place over a long period of time and often involves comparing a single sample group with their own performance over time which means development or time is measured.
What is an example of longitudinal data in clinical?
Twin studies- as it is looking at how twins behave over periods of time and comparing if they are similar or stay the same.
What are the strengths of longitudinal data?
- No difficulty in making comparisons between people that could be affected by individual differences
- Only reliable way to measure the effect of behaviour with time.
- Important for considering long term effects of a treatment
What are the weaknesses of longitudinal data?
- Sample- attrition- people drop out or die so the sample is smaller and is not reliable
- Cohort effects- they will all share the same experience so not generalisable
- New treatment may be developed and therefore becomes outdated.
What is cross-sectional data?
Researchers take a quick ‘snapshot’ of behaviour in a given population. They take a large sample to get a good cross-section of the target population.
What is an example of cross-sectional data in clinical?
Becker- Fiji
The TV and the effects on body image from role models on TV. Used 2 different groups in different years.
What are the strengths of cross-sectional data?
- Quicker than longitudinal so can apply results sooner
- Results are more valid as reported at the time when they have the most application rather than years later.