Undergraduate Programme and Module Handbook 2019-2020 (archived)
Module PSYC2217: STATISTICS AND PROJECT DESIGN FOR NON-SINGLE HONOURS
Department: Psychology
PSYC2217: STATISTICS AND PROJECT DESIGN FOR NON-SINGLE HONOURS
Type | Tied | Level | 2 | Credits | 10 | Availability | Available in 2019/20 | Module Cap | None. | Location | Durham |
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Tied to | CFG0 |
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Tied to | CFG1 |
Tied to | CV85 |
Tied to | CV58 |
Tied to | QRV0 |
Tied to | QRVA |
Tied to | LMVO |
Tied to | LMVA |
Tied to | X1C8 |
Tied to | XC82 |
Tied to | XC81 |
Prerequisites
- • PSYC1062 IPR plus PSYC1071 Intro 1 and/or PSYC1081 Intro 2
Corequisites
- • PSYC2167 - Historical and Conceptual Issues in Psychology plus PSYC2207 - Developmental Psychology plus PSYC2147 - Social Psychology
Excluded Combination of Modules
- None
Aims
- To build upon knowledge gained in first year in experimental design and statistics to fulfil the requirements for a BPS recognised degree in Psychology
Content
- The statistics and experimental design lecture course will provide students with the skills required to complete their third year Project in Psychology
Learning Outcomes
Subject-specific Knowledge:
- Knowledge and understanding of statistics for psychology including:
- ability to select between independent and repeated measure designs
- understanding of interactions, be able to design studies employing Analysis of Variance and perform the various types of analysis required
- appreciation of applications of multiple regression and be able to analyse data using this technique
- Integrate first year knowledge of a range of research paradigms and methods, including qualitative and quantitative methods into more advanced statistics methods
Subject-specific Skills:
- Identify an issue in the psychological domain that is amenable to empirical investigation, formulate a clear research question and act on this
- Select a research method appropriate to the research question
- Demonstrate competence in the selection and application of appropriate statistical procedures, and an understanding of their limitations
Key Skills:
- Good IT skills in data manipulation, and data presentation.
- Ability to work both independently and collaboratively
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 classes will give students the opportunity to practice using these techniques with support
- The summative assessment of the module comprises a class test which allows their understanding of the principles underlying statistical analyses to be assessed
- Students will be taught how to use the SPSS computer package to manipulate data and undertake statistical analyses in lecture classes
- Students' skill in using this package for data manipulation, analysis and presentation will be assessed via the summative practical assignment
- Students will plan a project, to be completed at Level 3
- The design of the project is discussed in detail with the supervisor in one or more sessions
Teaching Methods and Learning Hours
Activity | Number | Frequency | Duration | Total/Hours | |
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Lectures | 10 | Weekly in Epiphany Term | 2 Hours | 20 | |
Preparation and Reading | 80 | ||||
Total | 100 | ||||
Summative Assessment
Component: Examination | Component Weighting: 100% | ||
---|---|---|---|
Element | Length / duration | Element Weighting | Resit Opportunity |
Examination | 2hours | 100% | |
% |
Formative Assessment:
Students complete exercises from the lecture handouts in their own time and these are self-marked
■ 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