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Methods in Action: Classifying Higher Education Institutions using Latent Class Analysis

Mar 8 @ 9:00 am - Mar 20 @ 12:30 pm

The “Methods in Action Series” course “Classifying Higher Education Institutions using Latent Class Analysis” is organized by USI, Università della Svizzera Italiana and will take place on online platform on  8, 14  and 20 March 2023.





Topic and objective

•Introduce the conceptual and methodological issues of HEI classification and diversity analysis.
•Introduce Latent Class Analysis as a statistical tool for HEI’s classification.
•Test the method and discuss advantages and disadvantages  using an example dataset from a published paper

Online course including:


•On-line lecture presenting Latent Class Analysis (LCA) as a method to group observations and its statistical foundations.
•Group exercises where participants will apply LCA to the example dataset.
•Plenary discussion on the results, their interpretation and issues with the resulting classification.



Course programme

Wednesday 8th of March 2023

9:00-09:15 Introduction to the Course

09:15-10:15 Lecture: presentation of LCA and its usage for classificatory purposes.

10:30-12:00 Stata tutorial on how to implement LCA.

13:00 – 14.00 Using LCA to analyze HEI’s heterogeneity

14.00 – 15.00 Creation of the groups and task assignment.


Tuesday 14th of March 2023

15.00 – 18.00 interim discussion with groups in breakout rooms.


Monday 20th of March 2023

9:00-11.00 Group presentations.

11.15 – 12.00 Lecture: how to justify results to reviewers

12.00 – 12.30  Final discussion and assessment of the use of methods.




Prof. Benedetto Lepori, Faculty of Communication, Culture and Society, Università dellaSvizzera italiana.

Ilaria Falvo, Faculty of Communication, Culture and Society, Università della Svizzeraitaliana.

Reference paper:
Lepori, Benedetto (2022). The heterogeneity of European Higher Education Institutions: a configurational approach. Studies in Higher Education 47(9).


Target audience:

The course aims at involving participants among the following categories:

•Senior scientist, early career researchers
•PhD students at the last phase of their training
•People from the policy making level wishing to extend their analytical capabilities
•Research intermediaries (e.g. research association like Science Europe).


Course prerequisites:

Basic requisite for admission will be:

•Knowledge of basic principle of statistics, as well as of Ordinary Least Squares (OLS) regression.
•Good working knowledge of statistical software (Stata).

Cost and Fees:

Cost and Fees: No registration fees to be paid by European Participants.

Maximum number of participants: 16.


by email to the organizer including a CV and a short statement of interest.

Deadline for request of participation:

15th February 2023.

Contact person:

Ilaria Falvo, ilaria.falvo@usi.ch.


Mar 8 @ 9:00 am
Mar 20 @ 12:30 pm
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