B. Secondary Analysis
Secondary analysis involves the use of existing data, collected for a prior study, in order to pursue a research interest which is distinct from that of the original work. This may be a new research question or an alternative perspective on the original question.
Sources include :
- information collected through censuses or government departments like housing, social security, electoral statistics, tax records
- internet searches or libraries
- GPS, remote sensing
- km progress reports
Correlation research measures a relationship between two variables without the researcher controlling either of them (positive correlation, negative correlation, or zero correlation). The most common data collection methods for this type of research include surveys, observations and secondary data.
Cross-cultural research commonly involves comparison of some cultural trait (or relationships between traits) across a sample of societies.
A case study is a research method involving an up-close, in-depth, and detailed examination of a particular case (a single person, group, event or community). Observations and interviews are generally how data is collected.