Types of sampling and data Flashcards
Random?
All members of the target population have an equal chance of being selected to participate
Random strength?
Investigator has no control over who is picked so bias is avoided
Random weakness?
Probability relating to mathematical laws suggests that the sample should be representative however there is still a chance that it will not be
Systematic?
A mathematical selection of participants where the population size is divided by the sample size to dictate which participants are chosen for the sample- every nth name
Systematic strength?
The only input the researcher has is choosing the sample size- avoids investigator bias
Systematic weakness?
Still a chance that the sample will not be representative - cannot be generalised
Stratified?
Ensures that the key characteristics of the population are represented in the same proportion of the sample
Strength of stratified?
Avoids investigator bias and allows for the results to be generalised as the sample is representative
Weakness stratified?
If all key characteristics are not identified then the sample is not representative
Strength of opportunity?
Straight forward selection, less time consuming
Weakness of opportunity?
The investigator may consciously or subconsciously show bias in the sample selection thus limiting generalisation
Time sampling?
Time sampling is a method of sampling behaviour in an observation study and is where an observer records behaviour at prescribed intervals. For example, every 10 seconds.
Event sampling?
Event sampling is used to sample behaviour in observational research. It is where an observer records the number of times a certain behaviour occurs.
What is primary data?
Primary data is collected first hand by the researcher for a specific research purpose.
Secondary data?
When a researchers uses secondary data, this means that someone else has already collected the information, for a different purpose and the information has been stored on record for use by other researchers.