Fundamentals of Statistics with Stata
Date:
03/10/2023 - 31/10/2023
Organised by:
UCL
Presenter:
Meredith Martyn and Dr Giorgio Di Gessa
Level:
Entry (no or almost no prior knowledge)
Contact:
Meredith Martyn - meredith.martyn.17@ucl.ac.uk
Venue: Online
Description:
This five-week online course provides a comprehensive introduction to statistics in health and the social sciences. Each session includes a pre-recorded lecture and a pre-set computer exercise where you will learn to use Stata syntax to interrogate a dataset, undertake management and manipulation of large complex data, and conduct simple statistical analyses. Course content is as follows:
Session 1: Descriptives and the Normal Distribution
Session 2: Inference, Confidence Intervals, and Hypothesis Testing
Session 3: T-test and ANOVA
Session 4: Chi Square Test and Correlation
Session 5: Intro to Linear Regression
On completion of this course, students will:
- Understand the concepts behind basic descriptive and inferential statistics for social science research, and how to interpret these statistics
- Understand the principles of correlation, t-tests, chi-square and regression in social science research, and how to interpret these tests
- Demonstrate competence in a basic level of data manipulation using Stata to prepare social science datasets for statistical analysis
- Demonstrate competence in the use of Stata to interrogate social science datasets using descriptive statistics and commonly used statistical tests
- Understand how complex social science large scale datasets are structured and the implications of this.
Cost:
UCL students and staff: £100. Non-UCL participants: £200. Concessions available on request.
Website and registration:
Region:
Greater London
Keywords:
Quantitative Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis