MG527     
Advanced Quantitative Analysis for Research in Management

This information is for the 2025/26 session.

Course Convenor

Availability

Requisites

Co-requisites:

Students must complete MY551A or MY551W either before taking this course or in the same year as this course.

Additional requisites:

This course is aimed towards students in the first two years of the MRes/PhD in Management (ERHR/OB). Students must have completed, or be taking Introduction to Quantitative Analysis (MY551A) or Introduction to Quantitative Analysis (MY551W). 

This course is designed to complement the required quantitative methodology coursework, with a focus on conceptualising, evaluating, and applying multivariate methods used in management and organisational sciences.  
 
The course is intended for students with introductory experience with univariate and bivariate data analysis and an appreciation of multiple linear regression. Course content will focus on examples of research using: (1) scale construction, reliability and validity, (2) exploratory and confirmatory factor analysis, (3) causal inference and experimental design, (4) multivariate regression, (5) meta-analysis, (6) latent variable models (including factor analysis, structural equation models, latent growth models), (7) moderation, mediation, and moderated mediation, (8) multilevel modelling, and (9) longitudinal data analysis. Students will also discuss the best practices in reviewing and providing feedback on quantitative methods for academic publications. 
 
The primary goal of the course will be to enable students to translate and apply their understanding of general principles of data analysis and research methods to common management problems and research questions, and organisational contexts. Students will develop understanding and build skills throughout the course. It will focus on the contemporary debates and challenges of quantitative methodology in organisational research. Students will read, discuss, and evaluate current management journal articles from a range of specialisms using different methodologies, practice reviewing others' work and delivering thoughtful feedback, and identify areas where their own work may be improved throughout the course. 
 
It is anticipated that students within the seminar will be at different stages in their research and data gathering. Each seminar will also offer an advanced element/option for students with more experience or further along in their research. 

30 hours of seminars in the Autumn Term.

This course has a reading week in Week 6 of Autumn Term.

Each seminar will be a flexible 3-hour format with input from a variety of Department of Management Faculty. The first two hours will generally focus on theory, current research examples and discussion, and the final hour will be focused on practical discussion of how and when different methods may be implemented in research practice.  

In its Ethics Code, LSE upholds a commitment to intellectual freedom. This means we will protect the freedom of expression of our students and staff and the right to engage in healthy debate in the classroom.

Students will be expected to produce 1 piece of coursework in the AT. 

Students will be expected to draft 1000-word (3-5 double-spaced pages) extended abstract or short paper preparing one of their research ideas using quantitative methods for a symposium submission to an academic conference (e.g., Academy of Management (AOM) or Labor and Employment Relations Association (LERA)). They will review each other's work and provide feedback. Students will be encouraged (but not required) to submit their paper to the conference of their choice. 

There is no summative assessment for this course.