2019-2020 / STAT0162-1

Statistical analysis of qualitative and quantitative data in social sciences

Duration

30h Th, 15h Pr

Number of credits

 Master in sociology, professional focus in Immigration Studies (Liège - Barcelone : double diplomation)6 crédits 
 Master in sociology (120 ECTS)6 crédits 
 Extra courses intended for exchange students (Erasmus, ...) (Faculté des Sciences sociales)6 crédits 

Lecturer

Philippe Lambert

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course consists of about ten theoretical lectures related to the analysis of qualitative data in social sciences. Most of the treated data are extracted from surveys. The studied statistical techniques are logistic regression, log-linear models and their extensions to deal with ordinal variables. These tools will mainly be used to analyse contingency tables : the goal will be to detect relevant associations between the involved concepts and to interpret them. Examples of increasing difficulty will be proposed. Practicals will be organised to enable students to apply these techniques with the SAS software. A project requiring the analysis of some aspects of the themes tackled by a national or an international survey (with a publicly available database) will extend and complete the training.

Learning outcomes of the learning unit

To understand and to apply the basic statistical tools required by the analysis of qualitative data from surveys in social sciences ; to learn how to communicate the results of such analyses.

Prerequisite knowledge and skills

It is assumed that students have a basic training in probability theory and in statistical inference (SOCI1241-1) and are familiar with the use of Excel and Statistica or JMP (INFO0818-1).
-- Co-requisite: a basic training in the use of the SAS software (STAT0806-1) is required.

Planned learning activities and teaching methods

Practicals aim at performing the statistical analyses studied during the theoretical lectures with the SAS software. Other examples will also be proposed to consolidate the understanding of the studied techniques.

Mode of delivery (face-to-face ; distance-learning)

The course is organized during the 2nd semester. The written report associated to the project required by the oral exam (see below) must be finished by the end of the 2nd semester.

Recommended or required readings

The slides used during the course will be made available with the associated list of references.

Assessment methods and criteria

The assessement is made during an oral exam. The starting point will be a written report describing the analyses undertaken by the student with the SAS software to get insight in some of the themes tackled by a national or an international survey (with a publicly available database). The report is expected by the end of the 2nd semester. The different techniques studied during the course should be used and so illustrated. A student won't be allowed to take the exam if he/she did not transmit the above mentioned written report at the prescribed time and in the required format.

Work placement(s)

Organizational remarks

Attending the theoretical lectures is compulsory: it is a necessary condition to access the practicals.

Contacts

Philippe LAMBERT, Institut des sciences humaines et sociales, Bât B31, local R.54, tél: 04/366.59.90, email: p.lambert@uliege.be

Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session

Teaching methods implemented : distance-learning

Theoretical lectures: podcasts based on the slides made available at the very beginning of the lectures are available on Unicast via myUliege and eCampus. Forums were created on eCampus for students to submit their questions.
Practicals: they are organized through podcasts and interactive sessions on Lifesize for direct support to students with their project. Forums are also available on eCampus to submit questions.

Assessment subjects

All the initially foreseen topics were presented using distant teaching in full agreement with the announced calendar for the lectures at the beginning of the semester. Therefore the planned student projects used for the evaluation can be made without changes.

Assessment methods

The assessment is made during an oral exam on Lifesize. The starting point will be a written report describing the analyses undertaken by the student with the SAS software to get insight in some of the themes tackled by a national or an international survey (with a publicly available database). The report is expected by the end of the 2nd semester. The different techniques studied during the course should be used and so illustrated. A student won't be allowed to take the exam if he/she did not transmit the above mentioned written report at the prescribed time and in the required format.

Contacts

Philippe LAMBERT: p.lambert@uliege.be Patrick ITALIANO (Assistant): p.italiano@uliege.be
Forums on eCampus

Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session

Assessment subjects

All the initially foreseen topics were presented using distant teaching in full agreement with the announced calendar for the lectures at the beginning of the semester. Therefore the planned student projects used for the evaluation can be made without changes.

Assessment methods

The assessment is made during an oral exam on Collaborate (via eCampus). The starting point will be a written report describing the analyses undertaken by the student with the SAS software to get insight in some of the themes tackled by a national or an international survey (with a publicly available database). The report in PDF format is expected by 17 August 2020 at 13h00. The different techniques studied during the course should be used and so illustrated. A student won't be allowed to take the exam if he/she did not transmit the above mentioned written report at the prescribed time and in the required format.

Contacts

  • Philippe LAMBERT: p.lambert@uliege.be
  • Patrick ITALIANO (Assistant): p.italiano@uliege.be

Items online

Slides
The projected slides are made available through the URL