PS947-7-SP-CO:
Advanced Statistics for Research
2024/25
Psychology
Colchester Campus
Spring
Postgraduate: Level 7
Current
Monday 13 January 2025
Friday 21 March 2025
15
06 November 2023
Requisites for this module
(none)
PS946
(none)
(none)
(none)
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)
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.
The aim of this module is:
- To provide a detailed overview of some advanced statistical tests used by postgraduate and postdoctoral researchers in psychology.
By the end of this module, students will be expected to have a solid conceptual understanding of and have confidence in using a number of advanced statistical techniques, including:
Carry out reproducible analysis by using computer code.
Data visualisation.
Statistics as linear modelling (e.g.,: multi-level, glm, etc).
Power analysis and data simulation.
Synthesize the above while carrying out data exploration
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.
This module will be delivered via:
- One 2-hour lecture per week.
- One 1-hour workshop per week.
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 |
Coursework weighting |
| Coursework |
Lab based open book test |
|
50.0% |
| Coursework |
Homework Assignment 1 |
31/01/2025 |
12.5% |
| Coursework |
Homework Assignment 2 |
14/02/2025 |
12.5% |
| Coursework |
Homework Assignment 3 |
28/02/2025 |
12.5% |
| Coursework |
Homework Assignment 4 |
14/03/2025 |
12.5% |
Additional coursework information
Learning outcomes 1), 2), 3) and 4) will be assessed via the homework assignments, while 5 will be assessed in the open-book test.
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Anna Hughes, email: anna.hughes@essex.ac.uk.
Dr Anna Hughes;
anna.hughes@essex.ac.uk
No
No
No
Dr Alexander Jones
Middlesex University
Senior lecturer
Available via Moodle
Of 30 hours, 0 (0%) hours available to students:
30 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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.