Longitudinal surveys are extensively used in the field of medicine and applied sciences. They are, nominal, ordinal, interval and ratio measurement scales without the fundamentals of which, no multiple choice questions can be created.
Numbers do not lie. Information about most research topics is available online and this aids in boosting the validity of primary quantitative data as well as proving the relevance on previously collected data. These are tough questions for researchers to answer, particularly in light of the fact that, unlike laws in the physical sciences, human communication is varied and unpredictable.
After the collection of raw data, there has to be an analysis of this data to derive statistical inferences from this research. There are five non-probability sampling models: Convenience Sampling: In convenience samplingelements of a sample are chosen only due to one prime reason: their proximity to the researcher.
The only disadvantage of cross-sectional surveys is that the cause-effect relationship of variables cannot be established as it usually evaluates variables at a particular time period and not across a continuous time frame.
Using quantitative methods, it is possible to give precise and testable expression to qualitative ideas.