QUANTITATIVE RESEARCH

QUANTITATIVE RESEARCH

1. Involves collecting data, primarily numerical, and analysing statistical methods.

   • SAMPLE: Group of participants whom the researcher examines in an empirical research project.
     • POPULATION: Group of people who are the subjects of the study.
       • Type of close-ended items contained in the questionnaires: Likert scale
         • HYPOTHESIS

2. SOFTWARE

   • For obtaining data
     • Corpora tools: Although we may have free access to several corpora, we can create our own corpus with texts we gather ourselves.
       • WordSmith Tools
   • For managing data
     • SPSS: applied statistics. From planning to data collection to analysis, reporting and deployment.
     • PSPP: similar to SPSS. data view tab (spreadsheet), a variable view tab (to create variables and define their characteristics) and features an easy-to-use point-and-click interface.
     • MATLAB: statistical analysis. Access data from files, spreadsheets, databases, test equipment, data acquisition hardware, other software, or the Web. Explore your data to identify trends, test hypotheses, and estimate uncertainty. Create customised algorithms, visualisations, and models and publish customised reports. Share your analysis tools as MATLAB code or as standalone desktop or Web applications.
     • R: open-source software for statistical computing and graphics.