Statistics for Psychologists
Undergraduate: Level 4
Thursday 03 October 2019
Friday 26 June 2020
13 May 2019
Requisites for this module
BA 63C2 Psychological Studies,
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),
BSC C814 Psychology with Economics,
BSC C815 Psychology with Economics (Including Year Abroad),
BSC C816 Psychology with Economics (Including Placement Year)
The module provides step-by-step training in the analysis of psychological data, including the use of computer packages for data analysis. The module covers descriptive statistics (emphasising the best way to summarize findings), and inferential statistics (deciding what conclusions can be made from data). The techniques covered in the module will be used in the Year 1 research methods module (PS114) and throughout all three years of your degree course.
The main purpose of the module is to make you a better psychologist by giving you the skills to analyse and present psychological data, and to improve your ability to understand and assess the psychological research that others have carried out.
The techniques covered in the module will be used in the Year 1 research methods module (PS114) and throughout all three years of your degree course.
Lectures introduce the concepts necessary for understanding descriptive and inferential statistics. We provide lots of time for going over tricky concepts and examining examples of how statistics are used in psychological research. There are exercises to be completed both during and after the lectures, giving students the chance to reinforce what they have learned.
Practical sessions provide hands-on training in analysing data, usually involving the use of a computer package. You will be given a series of booklets to work through in these classes: these include explanation and guidance on how to analyse data, and plenty of practice on the techniques covered in the module. Please bring a calculator, notebook for recording your answers and your most recent set of lecture notes to these classes.
Lectures take place in a two-hour slot each week.
Practical classes are for one hour each week (you will be assigned to one of four classes starting at different times).
There are also several additional workshops with the module coordinators that will use practical exercises to introduce or consolidate some of the module's more difficult material.
We will teach you to use a specialised computer package for data analysis (IBM SPSS Statistics). As well as the time in the practical classes, students are encouraged to use this package outside of class and it is installed on computers in the Psychology Department and elsewhere on campus. SPSS can also be installed on your own computer, free of charge, via the department technical team.
- Howell, David C.; Kirkpatrick, Lee A.; Gravetter, Frederick J.; Mitchell, Mark L. (c2014) Fundamental statistics for the behavioral sciences: [plus additional material for PS115 statistics for psychologists] University of Essex, Andover: Cengage Learning EMEA.
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
||Statistic Test 1
||180 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Dr Tom Foulsham, email: firstname.lastname@example.org.
Dr Miroslav Sirota, email: email@example.com.
Dr. Miroslav Sirota, Dr. Tom Foulsham, Dr. Loes Van Dam, Dr. Elia Valentini
e-mail: firstname.lastname@example.org or email@example.com
No external examiner information available for this module.
Available via Moodle
Of 351 hours, 40 (11.4%) hours available to students:
311 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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