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Instructor-led course

Provided by: Social Sciences Research Methods Programme


This course is not scheduled to run.



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Merging and Linking Data Sets


Description

Merging and linking data sets are a process that researchers often encounter. In most cohort studies and longitudinal data sets, data on the same respondents who were interviewed at various times may be stored in different files. Or, data on different respondents but were interviewed at the same time, such as mothers and their children, may also be stored in various files. In either case, we may want to merge/link the files together before performing further analyses. This course will discuss two different ways of combining data files: merge (one-to-one merging and one-to-many merging) and append, and will demonstrate how to use ‘merge’ and ‘append’ commands in Stata.

Target audience
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
Prerequisites

None; but this module will primarily be of interest to students wishing to perform some sort of statistical analysis, so students without any background in statistics should be intending to study statistics at least until the level of BQA.

Assessment

This module is not assessed.

How to Book

Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).

Moodle

Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.

SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

For more information, and links to specific Moodle module pages, please visit our website: https://www.ssrmc.group.cam.ac.uk/Key-Information/moodle-vle

Theme
Statistics

Events available