Quantitative research can be defined as research that involves numerical data or data that can be quantified to answer research questions and meet objectives (Saunders et al., 2003, p. 327). The definitions of quantitative research design are intricate, often referring to the experimental design that outlines the arrangement of independent and dependent variables in data collection.

In a quantitative approach, researchers typically adopt post-positivist claims to develop knowledge and utilize inquiry strategies like experiments, collecting data with pre-arranged instruments to yield statistical data. This approach involves administering questionnaires or conducting data analysis procedures (such as tabulating statistics or creating graphs) to collect numerical data. The collected information is analyzed using descriptive statistical measures, involving means and data ranges, as described by Fink (2003) who defines statistics as the mathematics of organizing and interpreting numerical information (p. 25). Researchers convert research data into numbers to perform statistical calculations, generating research results. Additional hypotheses may be required to support the research conclusion in quantitative research (Saunders et al., 2009), providing simple summaries of the data collected. The Microsoft Excel spreadsheet is commonly used to record raw data from survey questionnaires.

While this process may seem straightforward, at Thesis PhD, we offer comprehensive assistance in developing your quantitative methodology based on research gaps, objectives, questions, and timelines