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PSYC3697: Statistical Modelling

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Type Open
Level 3
Credits 10
Availability Available in 2023/24
Module Cap 45
Location Durham
Department Psychology

Prerequisites

  • 10 credits from Level 2 Psychology

Corequisites

  • Advanced Research Methods and Statistics

Excluded Combinations of Modules

  • None

Aims

  • To teach students a set of advanced statistical methods that are used across psychology, neuroscience 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:
  • Modelling in R
  • Linear models
  • Logistic regression and general linear models
  • Multi-level modelling
  • Structural equation modelling
  • Multidimensional scaling and cluster analysis
  • Meta-analysis

Learning Outcomes

Subject-specific Knowledge:

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

Subject-specific Skills:

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

Key Skills:

  • Good written communication skills
  • Good IT skills in word processing
  • Ability to work independently in scholarship and research within broad guidelines

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

  • Student understanding and practical ability to use the statistical tools will be facilitated by workshops supplemented with online material.
  • Students will watch online lectures asynchronously and on their own time study the theoretical material
  • The workshops will take place in a computer laboratory, where students will get experience in using the statistical tools
  • The weekly summative examination assesses students' acquired knowledge of theoretical principles through the weekly online test
  • The summative reports will assess students' ability to use the methods in practice, working on a small secondary data set
  • Formative tests will be given in class to prepare students for all summative tests

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Workshops5Every 2 weeks2 hours10 
Lecture (online)101 per week1 hour10 
Preparation and Reading80 
Total100 

Summative Assessment

Component: Summative ReportComponent Weighting: 90%
ElementLength / DurationElement WeightingResit Opportunity
Statistics Report 50 
Statistics Report 50 
Component: In Class TestsComponent Weighting: 10%
ElementLength / DurationElement WeightingResit Opportunity
In Class Tests8 x 5 Minutes100 

Formative Assessment

The 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 secondary quantitative data sets to analyse and interpret.

More information

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