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Home   >  Master's & postgraduate courses  >  Education  >  Summer Course in Ordinal Data Analysis in R: Measuring Human Perceptions from Surveys
We advise you! Request information or admission
  • discount

    €300 discount for FME-UPC students

  • discount

    €250 discount for students from other UPC or UB schools, adjunct faculty from UPC or UB, and full-time faculty from UB not affiliated with the MESIO program

  • discount

    €200 discount for students from other universities

  • discount

    Free for full-time faculty at the UPC and MESIO UB or involved departments

Presentation

Edition
1st
Hours
15
Delivery method
Face-to-face or live online
You can take this programme in one of the two delivery methods.
These courses will be conducted 'face-to-face' and will also be streamed live.
Language of instruction
English
Fee
€400
Notes payment of enrolment fee and 0,7% campaign
Registration open until the beginning of the programme or until end of vacancies.
Start date
Start date: 07/07/2025
End date: 11/07/2025
Timetable
Monday: 9:00 am to 12:00 pm
Tuesday: 9:00 am to 12:00 pm
Wednesday: 9:00 am to 12:00 pm
Thursday: 8:45 am to 12:00 pm
Friday: 9:00 am to 12:00 pm
Taught at
Facultat de Matemàtiques i Estadística (FME)
C/ Pau Gargallo, 14. Edifici U.
Barcelona
Why this programme?

This course is part of the XVIII Summer School of the Master's degree in Statistics and Operations Research (MESIO UPC-UB).

Surveys are an essential tool for measuring human perceptions and capturing latent traits through structured responses. Ordinal and rating data, common in contexts such as customer satisfaction surveys, psychological assessments, and medical research are fundamental but often insufficiently addressed.

The course Ordinal Data Analysis in R: Measuring Human Perceptions through Surveys is a hands-on training in analyzing this type of data, covering both theoretical foundations and practical applications. Participants learn to work with specialized statistical models to properly interpret ordinal data, avoiding common mistakes such as treating them as numerical data, and drawing more robust and reliable conclusions. The course also includes case studies from various fields such as marketing, social sciences, and medical research, offering an applied perspective across different sectors.

This learning experience provides the necessary tools to understand and analyze ordinal data, fitting proportional odds models in R and using CUB models for rating data.

Primarily intended for students of the MESIO master’s program. The seminars can be recognized with 3 ECTS if 2 courses are completed and passed, and with 5 ECTS if 3 courses are completed and passed, subject to approval by the Faculty of Mathematics.

Aims
  • Gain both theoretical knowledge and practical skills to analyze ordinal data in research and professional settings.
  • Understand what ordinal data are, how they differ from other data types, and the challenges involved in analyzing them.
  • Fit proportional odds models in R and interpret the results.
  • Analyze classification data using CUB models.
Who is it for?
Young statisticians, young researchers in social sciences, students with basic knowledge of statistics and R language, and professionals seeking to enhance their skills in analyzing ordinal data.
Participants should have a basic knowledge of statistics and R, specifically:
  • Understanding of fundamental statistical concepts (e.g., descriptive statistics, probability distributions).
  • Familiarity with linear regression models.
  • Basic data manipulation skills in R.

Software Requirements
Learners are asked to use their own laptops with the following R packages pre-installed:
MASS, ordinal – for proportional odds models
CUB – for rating data analysis
The instructor will communicate possible additional package requirements before the start of the course.

Training Content

Day 1: Introduction to Ordinal Data and Survey Design (3 hours)

  • Overview of ordinal and categorical data types
  • Survey construction
  • Descriptive analyses

Day 2: Classical Models for Ordinal Data (3 hours)

  • Introduction to ordinal regression models
  • Fitting and interpreting ordinal regression models

Day 3: Classical Models for Ordinal Data and CUB Models for Rating Data (3 hours)

  • Application of ordinal regression in R
  • Introduction to CUB models for the analysis rating scales

Day 4: CUB Models – Extensions and Applications (3 hours)

  • CUB models with covariates, with Shelter option and treatment of ”Don’t Know” responses
  • Model fitting and examples of applications
  • Application in R

Day 5: Applications and additional Models for Ordinal Data Analysis (3 hours)

  • Analysis of a real data set in R by applying the techniques learned during the course
  • Overview of further models for Ordinal Data
Degree
Certificate issued by the Fundació Politècnica de Catalunya.

Learning methodology

The teaching methodology of the programme facilitates the student's learning and the achievement of the necessary competences.

The course will follow a blended teaching approach, combining frontal lectures with interactive, hands-on sessions in R. Each day will begin with a structured lecture introducing key concepts, followed by practical applications using real-world datasets, such as customer satisfaction surveys and psychological assessments. Participants will work through guided exercises in R, applying statistical models and techniques discussed in class. Additionally, individual/group work sessions can be included, allowing learners to deepen their understanding through independent practice.


Assessment criteria
Attendance
At least 80% attendance of teaching hours is required.
Solving exercises, questionnaires or exams
Individual tests aimed at assessing the degree of learning and the acquisition of competences.
Completion and presentation of the final project
Individual or group projects in which the contents taught in the programme are applied. The project can be based on real cases and include the identification of a problem, the design of the solution, its implementation or a business plan. The project will be presented and defended in public.
Virtual campus
The students on this summer course will have access to the My_ Tech_Space virtual campus - an effective platform for work and communication between the programme's students, lecturers, directors and coordinators. My_Tech_Space provides the documentation for each training session before it starts, and enables students to work as a team, consult lecturers, check notes, etc.

Teaching team

Academic management
  • Langohr, Klaus
    info
    /
    PhD in Statistics from the Polytechnic University of Catalonia (UPC). Graduate in Statistical Sciences and Techniques from the University of Dortmund (Germany). Associate professor at the Department of Statistics and Operations Research of the UPC.
Teaching staff
  • Ventura, Matteo
    info

    Ph.D. in Statistics within the Analytics for Economics and Management program at the University of Brescia, where he is currently a postdoctoral researcher in the Department of Economics and Management. His work focuses on ordinal data analysis, clustering, and survey methodology, with applications to consumer perceptions and visitor behavior. He has developed extensions of CUB model, published in leading statistical journals, and contributed to national and international projects on sustainability and behavior analysis.

Request information or admission

Information and guidance:
Isabel de la Fuente Larriba
(34) 93 115 57 51
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After we have registered your request, you will receive confirmation by email and we will be in touch.

Thank you for your interest in our training programmes.
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Name:

Programme: Ordinal Data Analysis in R: Measuring Human Perceptions from Surveys

Fee: €400

Submit and make the payment
  • If you have any doubts.
  • If you want to start the registration procedure.
How to start admission
To start the enrolment process for this programme you must complete and send the form that you will find at the bottom of these lines.

Next you will receive a welcome email detailing the three steps necessary to formalize the enrolment procedure:

1. Complete and confirm your personal details.

2. Attach any additional required documentation, whenever this is necessary for admission.

3. Pay €55 in concept of the registration fee for the programme. This fee will be discounted from the total enrolment fee and will only be returned when a student isn't admitted on a programme.

Once the fee has been paid and we have all your documentation, we will assess your candidacy and, if you are admitted on the course, we will send you a letter of acceptance. This document will provide you with all the necessary information to formalize the enrolment process for the programme.

Select the delivery method you are interested in:




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ACADEMIC AND ECONOMIC REGULATIONS

The Fundació Politècnica de Catalunya reserves the right to modify content, price, location, timetable and dates prior to the start of the course. Registration on the course will not be confirmed until payment has been made.

Registration rights. The interested party must make payment of the specified registration fee for the course. This fee will be deducted from the full course fee and will only be reimbursed if the applicant is not admitted.

Cancellation or deferment.The Fundació Politècnica de Catalunya reserves the right to cancel or defer a course if the minimum number of students is not met. In case of cancellation or non-admittance, the Fundació Politècnica de Catalunya will return all amounts paid in full, without any additional compensation. In case of deferment, applicants may request reimbursement of fees paid.

Cancellation of registration.
In the event of withdrawal or cancellation of the registration, the student must notify the UPC School in writing beforehand.
  • If this request for cancellation is made 45 days before the start of the programme, the UPC School will retain only 30% of the total registration fee and refund the difference paid.
  • In the event that the application request is made within 45 calendar days and the beginning of the programme, the UPC School will retain 60% of the registration fee.
  • No applications for refunds may be made after the programme has started.
Under exceptional circumstances, refunds of the registration fee will be made if the student's cancellation is due to one of the following circumstances:
  • Denial of a visa, subject to submission of supporting documentation. In this case, the UPC School will refund the registration fee less 300 Euros for administrative expenses.
  • Serious illness or accident accredited by an official medical certificate, stating the start date of the illness and the anticipated convalescence period. In this situation the UPC School's decision will be as follows:
    • If the notification takes place up to one month after the start of the programme, it will refund the amount actually paid, less 300 Euros as administrative expenses.
    • No refunds will be made after a month after the start of the programme. It will be only be possible to use the amount paid as a deposit for the registration fee of the next programme. This procedure entails no administrative fee for the student. The price difference between the new registration fee and the amount previously paid will be payable by the student under all circumstances.

Changes in registration. Any changes in registration, previously authorised by the Fundació Politècnica de Catalunya, will incur a 300 € administration fee.

Discounts.
  • Discounts are non-accumulable. The greater discount of those requested will be applied.
  • Discounts can only be applied under prior application and approval.
  • Once registration has been confirmed, no discount will be applied.
  • Students are responsible for placing applications for any discounts.

Qualification. In order to obtain the Qualification/Diploma issued by the Polytechnic University of Catalonia, the student must be in possession of a recognised university qualification or internal university qualification equivalent to a degree or diploma. If this is not the case, the student will receive a certificate of completion for the course, issued by the Fundació Politècnica de Catalunya. Students with outstanding payments due to the Fundació Politècnica de Catalunya or who has not approved all the credits necessary to overcome the program before the date of completion of this program will not be eligible to receive any qualification, diploma or certificate.

Barcelona, October 31, 2017


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