Undergraduate Programme and Module Handbook 2018-2019 (archived)
Module PSYC2101: STATISTICS FOR PSYCHOLOGY
Department: Psychology
PSYC2101: STATISTICS FOR PSYCHOLOGY
| Type | Tied | Level | 2 | Credits | 20 | Availability | Available in 2018/19 | Module Cap | Location | Durham |
|---|
| Tied to | C800 |
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Prerequisites
- PSYC1062 Introduction to Psychological Research
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- This module aims to equip students with the knowledge and understanding of the more advanced statistical methods used in psychological research, together with the practical ability to apply such methods to a variety of data sets
Content
- This module builds on knowledge gained from the statistical component of the Level 1 module Introduction to Psychological Research
- In quantitative statistics, designs with more than two variables will be considered for parametric and non-parametric analyses of hypotheses and relationship within data
- Emphasis will be placed especially on understanding the statistical principles underlying such analyses
- The use of computer packages in conducting the methods is an integral part of the module
Learning Outcomes
Subject-specific Knowledge:
- Knowledge and understanding of statistics for psychology
Subject-specific Skills:
- Skills in data handling and the competent application of statistical procedures
Key Skills:
- Competent IT skills in word processing and data presentation
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures will introduce and explain a range of statistical methods and procedures and examples will give students the opportunity to practice using these techniques with support
- The summative assessment of the module comprises both practical assignments which test students' ability to apply statistical knowledge appropriately to the analysis of data and an examination which allows their understanding of the statistical principles underlying such analyses to be assessed
- Students will be taught how to use the SPSS computer package to manipulate data and undertake statistical analyses in lectures and examples classes
- Students' skill in using this package for data manipulation, analysis and presentation will be assessed via the summative practical assignments
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Lectures / Practicals | 22 | 1 Per Week | 2 Hours | 44 | ■ |
| Preparation and Reading | 156 | ||||
| Total | 200 |
Summative Assessment
| Component: Practical Assignment | Component Weighting: 30% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Assignment 1 | 50% | ||
| Assignment 2 | 50% | ||
| Component: Examination | Component Weighting: 70% | ||
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Two-hour Statistics Examination | 100% | ||
Formative Assessment:
Constantly throughout the year within classes
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University