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Quantitative Methods


  • Credit value: 15 credits at Level 4
  • Convenor: Dr Grace Bo Peng
  • Assessment: a two-hour multiple-choice test (100%)

Module description

In this module you will gain an understanding of core statistical principles and ideas and learn how to:

  • summarise quantitative data effectively and appropriately
  • use a statistical software package (SPSS) to input and analyse data
  • interpret and report the results.

You will also be able to select and use appropriate statistical methods for a range of different problems and data types.

Learning objectives

By the end of this module, you will be able to:

  • explain the difference between descriptive and inferential methods of data analysis
  • distinguish between statistical samples and populations
  • explain the meaning of categorical data and continuous data, and describe graphical and non-graphical methods for summarising and presenting them
  • explain the meaning of research hypotheses and significance testing, and describe the relationship between statistical significance, statistical power, sample size, and effect size
  • understand and interpret frequency distributions
  • explain what is meant by a confidence interval
  • using SPSS: input data, open data files, analyse data and interpret results, and carry out simple data transformations
  • explain the basic principles of path analysis and structural equation modelling.