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Introduction to QR

Quantitative methods are used to examine the relationship between variables with the primary goal being to analyze and represent that relationship mathematically through statistical analysis. This is the type of research approach most commonly used in scientific research problems. Following is a list of characteristics and advantages of using quantitative methods:

  • --The data collected is numeric, allowing for collection of data from a large sample size.
  • --Statistical analysis allows for greater objectivity when reviewing results and therefore, results are independent of the researcher.
  • --Numerical results can be displayed in graphs, charts, tables and other formats that allow for better interpretation.
  • --Data analysis is less time-consuming and can often be done using statistical software.
  • --Results can be generalized if the data are based on random samples and the sample size was sufficient.
  • --Data collection methods can be relatively quick, depending on the type of data being collected.
  • --Numerical quantitative data may be viewed as more credible and reliable, especially to policy makers, decision makers, and administrators.

from Center for Innovation in Research and Teaching