Not available in 2019/20
PB211      Half Unit
Intermediate Quantitative Methods for Psychological and Behavioural Science

This information is for the 2019/20 session.

Teacher responsible



This course is compulsory on the BSc in Psychological and Behavioural Science. This course is not available as an outside option nor to General Course students.


Students must have completed Statistics and Research Methods for Psychological and Behavioural Science (PB130).

Course content

This course presents students with knowledge of and practical exposure to statistical modelling.  It covers linear and non-linear models, multiple regression analysis, logistic regression for binary, nominal and ordinal variables, odds ratios, introduction to the General Linear Model framework analysis of variance and covariance and path analysis for observed variables involving mediating and moderating variables. Throughout the course, and understanding of key concepts such as statistical power and effect sizes will be emphasised. Practical sessions will equip students with knowledge of how to conduct the taught statistical techniques using the R programming language.

This course, together with PB203 Intermediate Research Methods for Psychological & Behavioural Science: the Methods Toolkit, aims to provide students with integrated core knowledge and skills in research and analysis methods in psychological and behavioural science. Specific core methodological tools for collecting data will be presented in lectures, selected to reflect parallel theoretical issues raised in PB200 Biological Psychology, PB201 Cognitive Psychology, PB202 Developmental Psychology, PB204 Social Psychology: Groups and Intergroup Relations, and PB205 Individual Differences and Why They Matter, and to demonstrate the connections to the techniques taught in PB203 Intermediate Research Methods for Psychological & Behavioural Science: the Methods Toolkit.


20 hours of lectures and 10 hours of computer workshops in the MT.

Formative coursework

Students will be expected to produce 5 pieces of coursework in the MT.

Indicative reading

Agresti, A. & Franklin, C. (2009). Statistics: The Art and Science of Learning from Data.

Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage.

Rasch, D., Kubinger, K., & Yanagida, T. (2011). Statistics in Psychology Using R and SPSS. Wiley.


Exam (50%, duration: 2 hours) in the summer exam period.
Case analysis (50%) in the MT.

Further details for the summative assessment::

  1. A two hour open-book exam demanding the use of statistical techniques taught across the course (50%).
  2. Reanalysis of problem data using alternative techniques (50%).

Key facts

Department: Psychological and Behavioural Science

Total students 2018/19: Unavailable

Average class size 2018/19: Unavailable

Capped 2018/19: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills