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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2013/2014
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DRPS : Course Catalogue : Moray House School of Education : Research (EDU)

Postgraduate Course: Quantitative Data Analysis with SPSS (REDU11029)

Course Outline
SchoolMoray House School of Education CollegeCollege of Humanities and Social Science
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits20
Home subject areaResearch (EDU) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThis course provides students with practical experience of the management and analysis of quantitative data. Using examples of research in education and other fields the unit explores the nature of quantitative data, the relationship between quantitative analysis and theory building, and some of the major topic areas of statistical analysis.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2013/14 Full Year, Available to all students (SV1) Learn enabled:  Yes Quota:  19
Web Timetable Web Timetable
Class Delivery Information Classes are delivered fortnightly over both Semester 1 and 2.
Course Start Date 16/09/2013
Breakdown of Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 22, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 174 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
No Exam Information
Summary of Intended Learning Outcomes
By the end of the course students will be able to:
a) identify different types of quantitative data;
b) understand the main features of, and considerations involved in, the collection and management of quantitative data;
c) explain and be able to demonstrate the basic techniques of statistical analysis; and
d) demonstrate knowledge of issues related to the interpretation of data analysis and the presentation of findings.
Assessment Information
The final assessment will involve a small project. Course members will be supplied with a computer file containing data and an outline of a research context to which the data in the file relate. The assessment will consist of selecting appropriate analytical techniques to explore the data and throw light on the research question. The assignment will include a commentary on which techniques were used for which purpose and why and a discussion giving an interpretation of these results, what inferences can be based on them and what limitations should be placed on these inferences.
Special Arrangements
This course is open to students from other schools, however, please contact the course secretary prior to enrolling your Tutee in order to verify that there is space available; students on MSc Educational Research and MSc Education have priority.
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
KeywordsSPSS, Quantitative
Contacts
Course organiserDr Cristina Iannelli
Tel: (0131 6)51 6281
Email: C.Iannelli@ed.ac.uk
Course secretaryMrs Alison Edie
Tel: (0131 6)51 4241
Email: Alison.Edie@ed.ac.uk
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