Research designs
Panel and cohort designs differ, in that:
Cohort studies involve quantitative research, whereas panel studies are qualitative
A panel study does not need rules to handle new entrants to households
Only a cohort study will suffer from sample attrition
A panel study can distinguish between age effects and cohort effects, but a cohort design can only detect ageing effects
A panel study can distinguish between age effects and cohort effects, but a cohort design can only detect ageing effects
Both panel and cohort studies are types of longitudinal design, similar to cross-sectional research but conducted over a considerable period of time. Cohorts are groups of people sharing a characteristic, like age or unemployed status, whereas panels are typically random samples of the population as a whole. It follows that a panel study should be able to distinguish between age effects (for example in the Understanding Society study) and cohort effects (where being born in the same time period is the shared characteristic) but the cohort study would only be able to identify aging effects. Both types of study suffer from attrition, through death and emigration, for example. Both are quantitative in nature.
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 57
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 57
A panel study can distinguish between age effects and cohort effects, but a cohort design can only detect ageing effects Both panel and cohort studies are types of longitudinal design, similar to cross-sectional research but conducted over a considerable period of time. Cohorts are groups of people sharing a characteristic, like age or unemployed status, whereas panels are typically random samples of the population as a whole. It follows that a panel study should be able to distinguish between age effects (for example in the Understanding Society study) and cohort effects (where being born in the same time period is the shared characteristic) but the cohort study would only be able to identify aging effects. Both types of study suffer from attrition, through death and emigration, for example. Both are quantitative in nature.
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 57
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 57
Related posts
If a study is “reliable”, this means that:A. It was conducted by a reputable researcher who can be trusted
B. The measures devised for concepts are stable on different occasions
C. The findings can be generalized to other social settings
D. The methods are stated clearly enough for the research to be replicated
Lincoln & Guba (1985) propose that an alternative criterion for evaluating qualitative research would be:
A. Impressiveness
B. Trustworthiness
C. Joyfulness
D. Messiness
Survey research is cross-sectional and therefore:
A. High in replicability but low in internal validity
B. High in internal validity but low in reliability
C. High in ecological validity but low in external validity
D. None of the above
In an experimental design, the dependent variable is:
A. The one that is not manipulated and in which any changes are observed
B. The one that is manipulated in order to observe any effects on the other
C. A measure of the extent to which personal values affect research
D. An ambiguous concept whose meaning depends on how it is defined
What is a research design?
A. A way of conducting research that is not grounded in theory
B. The choice between using qualitative or quantitative methods
C. The style in which you present your research findings, e.g. a graph
D. A framework for every stage of the collection and analysis of data
Cross cultural studies are an example of:
A. Case study design
B. Comparative design
C. Experimental design
D. Longitudinal design
What is a cross-sectional design?
A. A study of one particular section of society, e.g. the middle classes
B. One that is devised when the researcher is in a bad mood
C. The collection of data from more than one case at one moment in time
D. A comparison of two or more variables over a long period of time
Leave a Reply