Module PSYC42315: Advanced Statistics for Psychology and the Behavioural Sciences

Department: Psychology

PSYC42315: Advanced Statistics for Psychology and the Behavioural Sciences

Prerequisites

• • PSYC42415 Statistics for Psychology and The Behavioural Sciences, OR SGIA49915 Quantitative Research Methods, OR alternative prior knowledge and understanding (i.e. firm understanding of how to explore data using appropriate descriptive statistics and graphs; confidence using R to undertake data management and statistical analyses, e.g. linear regression and visualisation; firm understanding of multiple linear regression through substantive analysis and the ability to implement, interpret and report, e.g. having passed the equivalent of one term of quantitative methods, up to and including linear regression; firm understanding of statistical inference, and the basis for this).

Corequisites

• None

Excluded Combination of Modules

• None

Aims

• To teach students a set of advanced statistical methods that are used across psychology and the behavioural sciences
• To provide students with the capacity to confidently identify appropriate statistical techniques and analyse data using relevant software across a range of different types of research

Content

• Indicative content as follows:
• Logistic and non-parametric (robust) regression
• Multi-level modelling
• Mediation, moderation and conditional process analysis
• Structural equation modelling
• Confirmatory factor analysis
• Multidimensional scaling and cluster analysis
• Meta-analysis

Learning Outcomes

• On completion of this module, students will acquire knowledge and understanding of:
• A range of advanced statistical tests used in psychology and the behavioural sciences
• The assumptions and limitations of the statistical techniques covered
• The advantages and limitations of using different statistical software (e.g., SPSS, R, JASP)

• By the end of the module students should be able to:
• Use and apply a range of advanced statistical techniques used in psychology and the behavioural sciences
• Effectively use statistical applications software (e.g., SPSS, R, JASP)
• Analyse data accurately
• Interpret data appropriately

• Students will also develop some important key skills, suitable for underpinning study at this and subsequent levels, such as:
• Implement general IT and research skills
• Manage their own time and resources
• Work to deadlines and within defined parameters

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• The weekly workshops will be taught in a computer laboratory and will usually include a 1-2 hour lecture which will outline the key statistical methods and concepts, how they can be used in psychology and the behavioural sciences, and their appropriate interpretation followed by practical activities in which students will undertake practical data analysis exercises using statistical software.
• The summative assessment consisting of statistical analyses and theory questions this will require students to demonstrate their knowledge and understanding of advanced statistics by carrying out analyses of pre-specified data-sets, writing up results and interpretation.
• Formative assessment provides students with an opportunity to perform, write up and obtain feedback on a series of analyses of pre-specified secondary data sets.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

Formative assessment will be undertaken in class and feedback will be provided. Students will be set short-answer questions which might include being provided with data sets to analyse and interpret. The questions set for formative assessment will follow a similar format as the assignment and is designed to familiarise students with the requirements and expectations.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University