The Population for Computer Science

  • Within your research methods section you need to identify your population
  • The population can refer to user, computers, hardware, software, data etc…
  • The population is different to the sample
  • Make sure you understand the difference before your start writing
  • You need to define\ describe your population
    • Highlight the common characteristics of your population
    • Consider the implication of your findings
    • Consider the confounding variables

Key Information

The data (population) you used will determines the implication of your results

  • Testing data from the university can only be applied to the university
  • Testing data from multiple universities can be applied to a range of universities
  • Testing data from multiple places like universities, colleges and schools, means that your findings are useful when talking about all education establishments

Confounding (variable) issues faced by your respondents need to be considered in relation to your hypotheses which you must acknowledge and limit (control) their impact on your findings (results)

  • Where the data comes from
    • Who created it
    • Who stores it
  • The value of the data
    • How useful is it
    • Who uses it
  • What are the characteristic of the data
    • Uniformed and normalised
    • Different formats types and lengths
  • Special issues
    • Different languages (human and computer)
    • Different use of symbols (use of comma with in a sentence or to separate a set of variables)

You will need to define characteristics or requirements which you are looking for within your population

  • It must conform to standard UK/ USA English
  • String values can consist of alpha, numeric and special characters
  • Numeric values must be whole numbers and less than one million