PS910-7-FY-CO:
Quantitative Data Analysis
PLEASE NOTE: This module is inactive. Visit the Module Directory to view modules and variants offered during the current academic year.
2023/24
Psychology
Colchester Campus
Full Year
Postgraduate: Level 7
Inactive
Thursday 05 October 2023
Friday 28 June 2024
30
04 October 2018
Requisites for this module
(none)
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Aims: To cover in greater depth and detail some of the topics covered in undergraduate psychology research and statistics courses.
To introduce to more advanced data analysis procedures, particularly those that introduce statistical control into the analysis of data or permit the advanced statistical modelling of data. To introduce concepts and tools (such as matrix algebra, path analysis and structural equation modelling) that can help to provide a unified approach to the understanding or application of advanced statistical techniques.
OBJECTIVES:
By the end of the course, students should be confident in using a number of advanced statistical techniques to analyse data, including:
ANOVA
ANCOVA
Multiple linear regression
Logistic regression
Factor analysis (principal components analysis)
Path analysis
Power analysis
Students are expected to understand when these techniques can be used and have an appreciation of how to address common problems encountered when using these procedures. Students should know how interpret and report these techniques appropriately, and be aware of common errors in the interpretation of data.
In addition students will know how to interpret the results of structural equation models and to know when these approaches are appropriate.
Students will have considerable experience of using SPSS to manage and analyse data, and should have sufficient statistical computing skills to independently analyse a postgraduate research project.
No information available.
No information available.
Teaching will be conducted through formal classes and computer-based workshops. Students will learn and practice techniques on a range of data-sets drawn from different areas of psychological research.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
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 Nicolas Geeraert, email: geeraert@essex.ac.uk.
Nicolas Geeraert, Dominique Knutsen, Miro Sirota, Keith May, Philip Cozzolino
geeraert@essex.ac.uk
No
No
Yes
No external examiner information available for this module.
Available via Moodle
Of 59 hours, 0 (0%) hours available to students:
59 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
Psychology
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