This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2006-2007 (archived)
Module PSYS2091: RESEARCH DESIGN AND DATA ANALYSIS
Department: Psychology (Applied Psychology) [Queen's Campus, Stockton]
PSYS2091: RESEARCH DESIGN AND DATA ANALYSIS
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 2 | 20 | Available in 2006/2007 | None. | Queen's Campus Stockton |
Pre-requisites
- Introduction to Statistics (PSYS1041).
Corequisites
- None
Excluded Combinations
- None.
Aims
- To develop students' knowledge of experimental design to cover situations involving several different variables and different levels and to teach them how to use appropriate statistical analyses.
Content
- Design and Measurement Issues: Independent and dependent variables.
- Between subjects and within subjects designs.
- Floor and ceiling effects, Scales of measurement, Transformations.
- Designs with more than one independent variable.
- Analysis of variance: Logic of analysis of variance.
- Independent Groups.
- Repeated Measures.
- Experiments of mixed design.
- Higher order designs.
- Multiple Regression.
Learning Outcomes
Subject-specific Knowledge
- Students should be able to select between independent and repeated measure designs.
- They should have an understanding of interactions, be able to design studies employing Analysis of Variance and perform the various types of analysis required.
- They should appreciate applications of multiple regression and be able to analyse data using this technique.
- They should have a general understanding of what factor analysis is meant to do and some understanding of the terminology associated with such methods.
Subject-specific Skills
Key Skills
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- .
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Total | 200 | ||||
| Lectures | 22 | 1 per week | 1 hour | 22 | |
| Terminal Sessions | 22 | 1 per week | 1 hour | 22 | |
| Preparation and Reading | 156 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Examination | 50% | two-hour examination | 100% | ||
| Assignment | 50% | assignment | 100% |
Formative Assessment
Two SPSS assignments
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.