Statistics for Psychology
Undergraduate: Level 5
Thursday 05 October 2023
Friday 15 December 2023
31 May 2023
Requisites for this module
PS103 and PS104 and PS105 and PS106
BA C801 Psychology (Including Year Abroad),
BA C802 Psychology,
BA C807 Psychology (Including Foundation Year),
BA C810 Psychology (Including Placement Year),
BSC C800 Psychology,
BSC C803 Psychology (Including Year Abroad),
BSC C811 Psychology (Including Placement Year),
BSC C812 Psychology (Including Foundation Year),
BSC C806 Psychology with Cognitive Neuroscience (Including Year Abroad),
BSC C808 Psychology with Cognitive Neuroscience,
BSC C809 Psychology with Cognitive Neuroscience (Including Placement Year),
BSC C813 Psychology with Cognitive Neuroscience (Including Foundation Year),
MSCIC999 Psychology with Cognitive Neuroscience,
MSCICA98 Psychology with Cognitive Neuroscience (Including Placement Year),
MSCICA99 Psychology with Cognitive Neuroscience (Including Year Abroad),
BSC C814 Psychology with Economics,
BSC C815 Psychology with Economics (Including Year Abroad),
BSC C816 Psychology with Economics (Including Placement Year),
BSC C817 Psychology with Economics (Including Foundation Year),
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 builds upon your statistics provision in the first year and will provide you with a thorough understanding of how and when to use different basic statistical tests.
Theoretical and practical implications will be provided through statistics lectures while computer workshops will introduce you to using statistical software.
This module is delivered as two components:
(1) Lectures will cover data analysis skills, along with their underlying principles, which will equip you for most of the laboratory class and project work that you will encounter in the rest of your psychology degree.
(2) Computer workshops will give you a supervised opportunity to solve exercises using statistical software, and the chance to ask questions about any aspects of the topics covered in the lectures.
The aims of this module are:
• To introduce students to the different types of samples and the characteristics of data sets
• To develop an understanding of statistical tests and deciding which test should be used in order to determine if your study “worked”
• To develop an understanding of how to use the results of statistical tests to draw conclusions
By the end of this module, students will be expected to be able to:
1. Understand and know when to use the different basic statistical tests common in psychological science
2. Be more confident and capable of comfortably organising and graphing data with relevant software packages
3. Be able to use statistics to communicate their own research findings
This module will provide an overview of different statistical methods used in Psychology, and the implementation of these using specialist computer software.
There is one two-hour lecture per week, which will normally have a short break at the halfway point. Students are welcome to ask questions during lectures if any point is unclear. Promptness at a lecture, which starts on the hour, is essential so that students can collect handouts and take a seat without disrupting the class. We will use interactive software to do quizzes during the lectures.
In the computer workshops, students will be working through statistics examples, assisted by lecturers and graduate demonstrators. These classes provide an opportunity not just to learn how to perform statistical tests using specialist computer software, but also to ask questions about the statistics topics covered in the lectures. The class is subdivided into a number of smaller groups to allow smaller-group teaching.
The following measures are in place to assure inclusivity (in addition to what the university offers by default):
1. Lectures are recorded and these recordings can be accessed online.
2. Teaching materials (e.g., slides, handouts, assessment briefs) are designed in keeping with recommendations for those with e.g. dyslexia and colour blindness (e.g., high contrast, tempered colour schemes; accessible colour palates in graphs; appropriate font selection).
3. Materials used for computer practical’s and lectures are made available online prior to the teaching sessions.
4. Where appropriate, answers to practice tasks are made available online for review.
5. Examples and illustrations will reflect diverse populations.
6. Weekly office hours by all teaching staff to further support students.
Assessment items, weightings and deadlines
|Coursework / exam
||SONA Research Training
||Mini MCQ Tests
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.
Module supervisor and teaching staff
Dr Wijnand Van Tilburg, email: firstname.lastname@example.org.
Dr Wijnand van Tilburg
No external examiner information available for this module.
Available via Moodle
No lecture recording information available for this module.
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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