Duration
40h Th
Number of credits
| Advanced Master in Risk Management and Well-Being in the Workplace | 4 crédits |
Lecturer
Audrey Babic, Adelaïde Blavier, Caroline Closon, Cécile Van de Leemput
Coordinator
Language(s) of instruction
French language
Organisation and examination
All year long, with partial in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Interview Part
The method of analysis and understanding in an investigation through interviews differs from a positivist perspective of scientific knowledge to obtain data on the significant statements that will be analysed and interpreted. The course allows students to understand the stages to be implemented in a scientific study beginning with the initial ideas and questions up until the final report.
The first part of the course will show the need for prior awareness of the characteristics of the situation and will present different interview techniques.
The second part of the course will allow students to concretely explore the stages of an investigation through interviews based on Kvale's work, i.e. thematisation (why? what?), conception (how?), construction of an interview guide and the formulation of questions, transcription, analysis, verification and communication of the results.
Case Study Part
Case studies allow investigators to take into account the significant characteristics of events that take place in real situations relating, for instance, to organisational processes and management, innovation, risk management.
Based on concrete examples, the course will allow students to answer the following questions: a) How to define a case study; b) How to determine the relevant data for collection; c) What should be done with the data once it has been collected.
Questionnaire Part
Lists of adjectives, assessment scales (Likert and bipolar), rankings. The biases and tips for best techniques when writing the items in a questionnaire. Encoding Descriptive analyses (number of subjects, bar charts and pie charts), basic statistical analyses (averages, standard deviation, Khi², test-t, univaried variance analysis). The principle of factorial analysis.
Observation Part
The question of sampling observation times, the subjects of the observation, quantification in observation situations, representation of the observed data, behavioural sequences, etc.
Verbalisation techniques ("think aloud") linked to the activities carried out will also be dealt with
Learning outcomes of the learning unit
To transmit to students the key points of a scientific approach for collecting and analysing data, taking into account the contextual specificities (e. g. the problem analysed, the employees concerned, extent of the data collection, etc.).
Interview Part
The aim of this course is to explore the methodologies and techniques for collecting and analysing information based on interviews, and to discuss their relevance according to the problem in question.
Case Study Part
The aim of this course is to explore the methodologies, techniques and the multiple facets of an investigation method per case study: from the definition of the problem and data collection to communication of the results. As for the interviews, we shall show that the first essential step is the definition of research questions.
Questionnaires Part
(a) Awareness of the different types (forms) of questionnaires and their advantages and disadvantages in terms of the sensitivity of the response, social desirability, etc. (b) To be able to construct an "ad hoc" questionnaire while limiting one's biases. (c) To be able to encode a questionnaire in a software program such as EXCEL or SPSS. (d) To be able to proceed with the descriptive and statistical analysis of questionnaire databases, using a software program such as EXCEL or SPSS.
Observation Part
The aim of this course is to allow students to learn about and use relevant observation techniques in relation to the intended objective, including the analysis of observation data.
Prerequisite knowledge and skills
Planned learning activities and teaching methods
Mode of delivery (face to face, distance learning, hybrid learning)
Teaching Method(s): ex-cathedra lectures, examples, exercises, discussion.
Recommended or required readings
Interview Part
Kvale, S. (1996). Interviews, an introduction to qualitative research interviewing. Sage, Thousand Oaks.
Case Study Part
Yin, R.K. (2003). Case study research. Design and methods. Sage, Thousand Oaks.
Qualitative Analysis Part
Lejeune, C. (2014). Manuel d'analyse qualitative. Analyser sans compter ni classer. De Boeck, Louvain.
written exam
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Interview Part and Case Study Part Adelaide.Blavier@ulg.ac.be et christophe.lejeune@uliege.be Questionnaires Part Caroline.Closon@ulb.be Observation Part annalisa.casini@uclouvain.be