Codice insegnamento

4S012109

Docente

Cristina Florio

Coordinatore

Cristina Florio

Crediti

1

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Lingua di erogazione

Inglese

Settore Scientifico Disciplinare (SSD)

NN - -

Periodo

Secondo semestre (lauree magistrali) dal 26-feb-2024 al 24-mag-2024.

Studenti Erasmus

Non disponibile

Corsi Singoli

Non Autorizzato

Orario Lezioni Moodle Seminari 0

Obiettivi di apprendimento

Presentazione:
The Structural Equation Modelling (SEM) workshop is designed to equip students with a comprehensive understanding
of SEM as a powerful tool for conducting business and accounting research. This seminar provides an intuitive
introduction to SEM, utilising practical examples to illustrate its applicability across a broad spectrum of research
problems. The module begins by familiarising participants with SEM's fundamental concepts and principles. Through the
presentation of straightforward models, students gain an appreciation for the diverse range of research issues that can
be effectively analysed using SEM. Emphasis is placed on developing a solid foundation in understanding the underlying
principles of SEM rather than delving into complex mathematical and statistical calculations. Participants are then guided
through formulating a research model or framework suitable for SEM analysis. They learn how to effectively structure
their research questions and hypotheses in a manner that can be assessed using SEM techniques. Attention is given to
model specification, including the selection and operationalisation of latent variables and the identification and
measurement of observed variables. The practical application of SEM is explored using the statistical software package
AMOS. Students gain hands-on experience analysing their formulated research frameworks within the AMOS
environment. Through guided exercises, participants learn how to implement SEM techniques and interpret the results
obtained from their analyses.

Obiettivi formativi:
• How to develop a research model or framework for applying the structural equation modelling process. This will be
useful for developing dissertation projects.
• How to prepare the data for statistical analysis. This preparatory work is concerned with reliability and validity checks of
the data and will be performed using the statistical package of SPSS.
• How to carry out the SEM analysis. The SEM analysis consists of two steps: the measurement model (factor analysis)
and the structural model (regression model).

Programma

Programma:
• Guidelines for the formulation of a research model
• Preparing your data and measuring variables: Reliability and Validity checks
• Application of Factor Analysis
• Introduction to the basics of Structural Equation Modeling (SEM)
• The measurement model in SEM
• The structural model (general model) in SEM
• Application of an SEM model with AMOS
• Discussion of the results

Docente di riferimento: Prof. Thomas Henschel, Hochschule für Technik und Wirtschaft in Berlin

Durata: 8 hours of teaching time

Periodo: week commencing from March 11th to March 15th 2024

Modalità didattiche: Blended. The lecturer will provide an introductory lecture with practical examples for each seminar
section. The students will then apply the content with some practical exercises in SPSS and AMOS.

Modalità di verifica dell'apprendimento

Si ricorda che i laureandi di dicembre 2023/aprile 2024 non possono partecipare e richiedere l'accreditamento di cfu per la presente attività, in quanto si tratta di un'erogazione 2023/2024, mentre le sessioni di laurea si riferiscono all'a.a. 2022/2023.
Gli studenti regolarmente iscritti all'a.a. 2023/2024 sono tenuti a inserire l'attività a libretto.

CFU/ECTS The course provides students with 1 CFU for activities of type “D” (at the student’s choice). CFU will be
assigned upon attendance of the classes and a positive evaluation on the assessment, which consists of a multiplechoice quiz at the end of the laboratory session.

Modalità di verifica del profitto: Multiple choice quiz at the end of the sessions, covering the SEM basics.