Key information
- Faculty
- IOE
- Teaching department
- Social Research Institute
- Credit value
- 15
- Restrictions
-
This module is open to all students, but priority will be given to students in the Social Research Institute. Students must have completed SOCS0053 Introduction to Regression Analysis in the autumn term or have equivalent experience. If you wish to be considered for an exemption from the pre-requisite, please email Neus Bover-Fonts (n.bover-fonts@ucl.ac.uk) with your request, listing any relevant modules you have taken previously and grades achieved. Please indicate if you are a student on the MSc Social Research Methods or MSc Social Policy and Social Research programme.
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
This module equips students with skills for working with data that comes directly from the source and may need some manipulation (such as merging, cleaning, recoding) as an initial stage in analysis听听The module aims to develop good data 鈥榟ousekeeping practice鈥� amongst students, equipping听them with vital and valuable skills and techniques that they can apply in their future career. A key aim of the course is to get students to be able to '鈥榗runch data鈥櫶齮hrough the use of simple statistical tools, such as merging techniques, recoding of outliers and missing values, and macros and loops, for example the module will use the statistics package Stata"
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 2 听听听
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
0
- Module leader
-
Dr John Jerrim
- Who to contact for more information
- mscsrm@ucl.ac.uk
Intended teaching term:
Term 2 听听听
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Letter Grade
Other information
- Number of students on module in previous year
-
34
- Module leader
-
Dr John Jerrim
- Who to contact for more information
- mscsrm@ucl.ac.uk
Last updated
This module description was last updated on 8th April 2024.
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