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- Select training provider - (Cambridge Research Methods (CaRM))
Tue 5 Nov, Tue 12 Nov, ... Tue 26 Nov 2024
10:00 - 12:00

Venue: Titan Teaching Room 2, New Museums Site

Provided by: Cambridge Research Methods (CaRM)


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Tue 4 Feb 2025



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Advanced Topics in Data Preparation using Stata (MT)
New

Tue 5 Nov, Tue 12 Nov, ... Tue 26 Nov 2024

Description

Have you received or collected your data (or anticipate doing so!), but are not sure what to do next? This course is designed to equip you with the skills you need to efficiently clean, reformat, and prepare your datasets using Stata. Ideal for social science researchers and analysts who want to use quantitative data for their dissertation or other research project and want to prepare their data efficiently and follow best practices.

Over four interactive sessions, you will master essential techniques for handling missing data, merging and appending datasets, batch processing, and recoding variables. Each session combines concise, focused lectures with practical, hands-on exercises using either your own data or datasets provided by the instructor.

Target audience
  • Postgraduate students and staff
  • Further details regarding eligibility criteria are available here
Prerequisites

Some experience using Stata software. If you have not used Stata before, it is recommended that you first take the ‘Introduction to Stata’ module.

Sessions

Number of sessions: 4

# Date Time Venue Trainer
1 Tue 5 Nov   10:00 - 12:00 10:00 - 12:00 Titan Teaching Room 2, New Museums Site map Sarah Joan Pemberton
2 Tue 12 Nov   10:00 - 12:00 10:00 - 12:00 Titan Teaching Room 2, New Museums Site map Sarah Joan Pemberton
3 Tue 19 Nov   10:00 - 12:00 10:00 - 12:00 Titan Teaching Room 2, New Museums Site map Sarah Joan Pemberton
4 Tue 26 Nov   10:00 - 12:00 10:00 - 12:00 Titan Teaching Room 2, New Museums Site map Sarah Joan Pemberton
Objectives

By the end of this course, you will be confident in your ability to transform raw data into a dataset ready for analysis. You will learn how to:

  • Handle missing data (e.g., identifying missing data, recoding missing values)
  • Process datasets in batch (e.g., using loops to handle multiple datasets or repetitive tasks, practical examples of using ‘foreach’ and ‘forvalues’ loops)
  • Recode variables (e.g., creating new variables through transformations, recoding continuous and categorical variables, using conditional statements and functions)
  • Merge and append datasets
Format

The module will consist of four sessions. Each session will include a one-hour lecture and one-hour practical workshop.

How to Book

Click the "Booking" button 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 CaRM uses to deliver online courses.

CaRM instructors 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 students enrol onto and explore their course Moodle pages once booking their CaRM 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 please visit our website

Frequency

This module runs once in Michaelmas Term and once in Lent. You only need to book on ONE of these iterations, either in Michaelmas OR in Lent.

Theme
Software Packages

Booking / availability