Description:
Research typically address topics such as “organizational culture”, “project success”, and “trust”. These concepts are latent variables or non-observable variables that cannot be directly measured with a single metric. Instead, they are indirectly measured using a set of indicators or manifest variables. Structural Equation Modelling (SEM) is one way to analyze such nonobservable variables and the relationships between them.
SEM is a very powerful tool in a variety of scenarios, such as:
1. When the research goal is to predict key constructs or to identify key constructs.
2. When the researcher has complex models that comprise many different constructs, indicators, and relationships.
3. When the research model is evaluated with secondary or archival data.
Prerequisites:
Introduction to statistics (solid knowledge of multiple linear regressions).
Learning objectives:
The ultimate goal is to develop from a hypothesized theory a structural model and evaluate it based on the most recent assessment criteria.
Teaching methods:
Lectures, exercises, and individual case studies.
Criteria for assessment:
Written assignment of an individually developed SEM model
Organizer: Daniel Russo
Lecturers: Daniel Russo, Associate Professor at the Department of Computer Science, AAU-Copenhagen
ECTS: 4
Time: 8,9,22,23 March and 13 April 2022
Place: Aalborg University, Frb. 7B/2-107 all dates.
Zip code: 9220
City: Aalborg
Number of seats: 30
Deadline: 05 February 2022
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Daniel Russo