PS947-7-SP-CO:
Advanced Statistics for Research

The details
2021/22
Psychology
Colchester Campus
Spring
Postgraduate: Level 7
Current
Monday 17 January 2022
Friday 25 March 2022
15
13 April 2021

 

Requisites for this module
(none)
PS946
(none)
(none)

 

(none)

Key module for

MSC C80612 Research Methods in Psychology,
MPHDC80048 Psychology,
PHD C80048 Psychology,
MSCIC998 Psychology with Advanced Research Methods,
MSCICB98 Psychology with Advanced Research Methods (Including Placement Year),
MSCICB99 Psychology with Advanced Research Methods (Including Year Abroad)

Module description

This module provides a detailed overview of the most common statistical tests used by postgraduate and postdoctoral researchers in psychology.

The module will build upon Statistics I. The course will provide opportunities to specialize in advanced concepts and statistical techniques, including multi-level modelling and Bayesian analysis. The course will also provide experience of using R for data processing and visualisation.

Module aims

The module aims to provide a detailed overview of some advanced statistical tests used by postgraduate and postdoctoral researchers in psychology.

Module learning outcomes

By the end of the module, students should have a solid conceptual understanding of and have confidence in using a number of advanced statistical techniques, including:

1. Carry out reproducible analysis by using computer code
2. Data visualisation
3. Statistics as linear modelling (e.g.,: multi-level, glm, etc)
4. Power analysis and data simulation
5. Synthesize the above while carrying out data exploration

1), 2), 3) and 4) will be assessed via the homework assignments, while 5 will be assessed in the open-book test.

Students will develop an understanding when to use what advanced statistical technique and have an awareness of how to address common problems encountered when using these procedures.

Students will know how to interpret and report these techniques appropriately, and be aware of common errors in the interpretation of data.

Students will attain considerable experience of using R to analyse data. They will develop sufficient statistical computing skills to independently analyse data at an advanced level.

Module information

No additional information available.

Learning and teaching methods

2h lectures + 1h workshops / week (for 10 weeks)

Bibliography


The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Homework Assignment 1  04/02/2022  12.5% 
Coursework   Homework Assignment 2  18/02/2022  12.5% 
Coursework   Homework Assignment 3  04/03/2022  12.5% 
Coursework   Homework Assignment 4  18/03/2022  50% 
Coursework   Lab based open book test  25/03/2022  12.5% 

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
Dr Alasdair Clarke, email: a.clarke@essex.ac.uk.
Dr Anna Hughes;
a.clarke@essex.ac.uk

 

Availability
No
No
No

External examiner

Prof Bettina Forster
City, University of London
Professor
Resources
Available via Moodle
Of 798 hours, 20 (2.5%) hours available to students:
778 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Psychology

Disclaimer: The University makes every effort to ensure that this information on its Module Directory is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to programmes, modules, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements, industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to modules may for example consist of variations to the content and method of delivery or assessment of modules and other services, to discontinue modules and other services and to merge or combine modules. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications and module directory.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.