PS946-7-AU-CO:
Fundamental Statistics for Research
2024/25
Psychology
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 03 October 2024
Friday 13 December 2024
15
06 November 2023
Requisites for this module
(none)
(none)
(none)
(none)
PS947, PS948
MSC C80612 Research Methods in Psychology,
MSC C85512 Cognitive Neuroscience and Neuropsychology,
MPHDC80048 Psychology,
PHD C80048 Psychology,
MPHDC85548 Psychology with Cognitive Neuroscience and Neuropsychology,
MPHDC85584 Psychology with Cognitive Neuroscience and Neuropsychology,
PHD C85548 Psychology with Cognitive Neuroscience and Neuropsychology,
PHD C85584 Psychology with Cognitive Neuroscience and Neuropsychology,
MSCIC999 Psychology with Cognitive Neuroscience,
MSCICA98 Psychology with Cognitive Neuroscience (Including Placement Year),
MSCICA99 Psychology with Cognitive Neuroscience (Including Year Abroad),
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 aim of this module is:
- To consolidate and extend understanding of basic statistical concepts, mean comparison testing (t-test & ANOVA) and statistical relationships (correlations & regression).
By the end of this module, students will be expected to have a solid conceptual understanding of and confidence in using a number of fundamental statistical techniques, including:
- Measures of central tendency & dispersion.
- Data distributions, hypothesis testing, and confidence intervals.
- Correlation & simple regression.
- Mean comparison across 2 groups (t-test).
- Mean comparison across 2+ groups (one-way ANOVA).
- Multiple Linear Regression.
- Mean comparison across factors (factorial ANOVA).
- Moderation in Multiple Linear Regression.
- Mediation in Multiple Linear Regression
Students will develop an understanding when to use what 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 acquire considerable experience of using SPSS to analyse data, and will develop sufficient statistical computing skills to independently analyse a postgraduate research project.
This module will be delivered via:
- One 2-hour lecture per week.
- One 1-hour workshop per week.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Practical |
Data-Analysis Class Test |
|
50% |
| Practical |
Conceptual Understanding Class Test |
|
50% |
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 Maxwell Roberts, email: mjr@essex.ac.uk.
Dr Max Roberts
email: mjr@essex.ac.uk
No
No
No
Dr Alexander Jones
Middlesex University
Senior lecturer
Available via Moodle
Of 40 hours, 32 (80%) hours available to students:
2 hours not recorded due to service coverage or fault;
6 hours not recorded due to opt-out by lecturer(s), module, or event type.
Psychology
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