This information is for the 2020/21 session.
Teacher responsible
TBC
Availability
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.
Pre-requisites
Students must have completed Intermediate Quantitative Methods for Psychological and Behavioural Science (PB211).
Course content
This course introduces students to various advanced statistical techniques to analyse psychological data. This course is designed to build advanced knowledge on top of topics already learned in years 1 and 2, as well as to introduce additional topics of particular interest to students of psychometric methods. The course will cover:
• Event count and survival models;
• multi-level models;
• simulation methods for estimating uncertainty or fitting model parameters;
• principal components and factor analysis for discovering underlying structures from complex multidimensional datasets;
• basic latent class models; and
• the concepts, estimation, and interpretation of basic Item Response Theory models, from Rasch models to the two-parameter logistic model.
Practical sessions will equip students with knowledge of how to conduct the taught statistical techniques using the R programming language.
Teaching
20 hours of lectures and 10 hours of computer workshops in the MT.
Formative coursework
Students will be expected to produce 5 problem sets in the MT.
Indicative reading
Bartholomew, J. Steele, F., Moustaki, I.; Galbraith, J. I. (2008). Analysis of Multivariate Social Science Data (2nd ed.)
Agresti, A. & Franklin, C. (2009). Statistics: The Art and Science of Learning from Data.
McElreath, R. (2016). Statistical rethinking: A Bayesian course with examples in R and Stan (Vol. 122). CRC Press.
Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics. 5th edition. New York: Lawrence Erlbaum.
Assessment
Exam (60%, duration: 1 hour and 30 minutes) in the summer exam period.
Presentation (40%) in the MT.
Further details for the summative assessment:
The exam is an unseen, open-book examination.
40% of the overall mark will be a presentation (using written and oral methods) of one advanced quantitative analysis technique in 'teaching style'.
Key facts
Department: Psychological and Behavioural Science
Total students 2019/20: Unavailable
Average class size 2019/20: Unavailable
Capped 2019/20: No
Value: Half Unit
Personal development skills
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.