MY451W      Half Unit
Introduction to Quantitative Analysis

This information is for the 2023/24 session.

Teacher responsible

Dr Sally Stares

Availability

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MPhil/PhD in Demography/Population Studies, MSc in Applied Social Data Science, MSc in Comparative Politics, MSc in Gender (Research), MSc in Inequalities and Social Science, MSc in International Migration and Public Policy, MSc in International Migration and Public Policy (LSE and Sciences Po), MSc in International Political Economy (Research), MSc in International Relations (Research), MSc in International Social and Public Policy (Research), MSc in Political Science (Conflict Studies and Comparative Politics), MSc in Public Administration and Government (LSE and Peking University) and MSc in Public Policy and Administration. This course is available with permission as an outside option to students on other programmes where regulations permit.

The course is also available to research students as MY551.

This course is not controlled access. If you register for a place and meet the prerequisites, if any, you are likely to be given a place.

Course content

An intensive introduction to quantitative data analysis in the social sciences. The course is intended for students with no previous experience of quantitative methods or statistics. It covers the foundations of descriptive statistics and statistical estimation and inference. 'At the end of the course students should be able to carry out and interpret a range of univariate and bivariate data analysis techniques from univariate descriptives to multiple linear regression. The seminars and computer exercises give 'hands-on' training in the application of statistical techniques to real social science research problems using the R computer package (no prior knowledge of R is necessary).

Teaching

This course is delivered through a combination of lectures and seminars totalling a minimum of 30 hours across Winter Term.

The course runs twice per year: in AT (MY451A) and again in WT (MY451W). The content of the course, and the method of assessment, is exactly the same in each term.

This course has a Reading Week in Week 6 of WT.

Formative coursework

Self-guided computer exercises to be completed before weekly classes for discussion and a weekly online quiz.

Indicative reading

A course pack will be available for download online. Additional reading: many introductory statistics books are available. But we particularly recommend Alan Agresti and Christine Franklin (2009) Statistics: The Art and Science of Learning from Data. Pearson Education. Or Alan Agresti and Barbara Finlay (2009, 4th edition) Statistical Methods for the Social Sciences. Pearson Education (note that the second book is more advanced and is particularly useful if you are planning to take MY451 and MY452).

Assessment

Exam (100%, duration: 2 hours) in the spring exam period.

Key facts

Department: Methodology

Total students 2022/23: Unavailable

Average class size 2022/23: Unavailable

Controlled access 2022/23: No

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

  • Application of numeracy skills
  • Specialist skills