[IRIS] PhD Course: Introduction to Structural Equation Modelling (2022)

[Daniel Russo]

Description:

Research typically address topics such as “organizational culture”, “project success”, or “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 (e.g., mediation or moderation effects) that comprise many different constructs, indicators, and relationships.
3. When the research model is evaluated with secondary or archival data

Prerequisites:
General understanding of quantitative methods is of help but not strictly required

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 (www.danielrusso.org<http://www.danielrusso.org>)

Lecturer: Daniel Russo, Associate Professor at the Department of Computer Science, AAU-Copenhagen

Short Bio: Daniel is using SEM (in both the Covariance-Based or Partial Least Squares modes) extensively in his research, in both cross-sectional and longitudinal fashion. Works, using SEM have been published in flagship journals of his research community, such as ACM Transactions on Software Engineering and Methodology<https://www.danielrusso.org/files/2021TOSEM_ASM.pdf>, Empirical Software Engineering<https://www.danielrusso.org/files/2021EMSE_RemoteWork.pdf>, and The Journal of Systems and Software<https://www.danielrusso.org/files/2019JSS_CooT.pdf>. He also authored the methodological guidelines for pursuing and reporting SEM studies in Computer Science, published on ACM Computing Surveys<https://dl.acm.org/doi/pdf/10.1145/3447580>. As an internationally recognised expert, he is regularly invited to provide opinion or rejoinder papers, such as for Communications for the Association for Information Systems

ECTS: 4

Dates: 8,9,22,23 March and 12 April 2022

Place: Aalborg University

City: Aalborg, Denmark

Number of seats: 30

Deadline: 05 February 2022

Enrolment: https://phd.moodle.aau.dk/course/view.php?id=1789


Daniel Russo, Ph.D.

Associate Professor | Human-Centered Computing | Department of Computer Science



Phone:(+45) 9940 7765 | Email: daniel.russo at cs.aau.dk<mailto:daniel.russo at cs.aau.dk> | Web: www.danielrusso.org<http://www.danielrusso.org>

Aalborg University - Copenhagen | Office: 4.081 | A.C. Meyers Vænge, 15  | 2450 Copenhagen | Denmark


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