Quantitative Data Analysis relies of numerical effects to present, analyse and report on data. It is generally commoner than Qualitative Data Analysis and is used to meet a wide range range of research objectives in the business, economic, social sciences, humanities, legal  fields and natural sciences. Common advantages of Quantitative Data Analysis are:

  • It is comparatively easier to analyse large volumes of data using quantitative methods than qualitative methods
  • Results from a study can be inferred to a different population group and setting
  • Reliability and validity of results can be controlled thereby improving the quality of the results in terms of representing the real views of the study sample or population
  • It supports representativeness of views and therefore applies well in situations where public opinions and perceptions rather than individual views are important

Types of Quantitative Studies

Quantitative research can be carried out through a variety of studies. These include:

  • Cross-sectional studies
  • Before and after studies
  • Longitudinal studies
  • Experimental studies
  • Semi-experimental studies
  • Causal studies
  • Comparative studies
  • Case studies
  • Feasibility studies
  • Impact studies
  • Opinion studies
  • Effectiveness studies
  • Baseline studies
  • And many others

These studies are by no means mutually exclusive and it is also not uncommon for different writers to classify or define them differently. The bottom line is that they guide researchers in choosing the appropriate type of study that supports the given set of objectives.

Our support

We support researchers in managing various aspects of quantitative research. This includes:

  • Designing the study
  • Optimising study objectives
  • Data collection
  • Data analysis
  • Reporting-writing and Presentation

Our services range from consulting services right up to conducting all aspects of the research process.

Costs and time frames

For processes, costs and time frames associated with quantitative data analysis please send a request for quotation or an email to: research@afregarde.co.za