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Percorso della pagina
  1. Economics
  2. Master Degree
  3. Economia del Turismo [F7602M - F7601M]
  4. Courses
  5. A.A. 2022-2023
  6. 2nd year
  1. Statistical Methods for Tourism Services Evaluation
  2. Summary
Unità didattica Course full name
Statistical Methods for Tourism Services Evaluation
Course ID number
2223-2-F7601M007-F7601M036M
Course summary SYLLABUS

Blocks

Back to Statistical Methods for Tourism II

Course Syllabus

  • Italiano ‎(it)‎
  • English ‎(en)‎
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Obiettivi formativi

Il corso darà agli studenti gli strumenti statistici per le fasi di raccolta, elaborazione e analisi dei dati di una ricerca “tipo” relativa al turismo. Gli studenti acquisiranno quindi gli strumenti per sviluppare ed apprendere i concetti e le metodologie quantitative proposte durante il corso.

Saranno quindi in grado di condurre una attività di ricerca di base legata al settore turistico e saranno in grado di comunicare in maniera critica ed esaustiva i risultati.

Contenuti sintetici

Durante il corso di Metodi statistici per la valutazione dei servizi turistici saranno introdotti i principali metodi per la valutazione della qualità dei servizi e delle grandezze collegate (soddisfazione, fedeltà). Il corso illustrerà i modelli specificamente elaborati in letteratura per la misurazione della qualità oggettiva e percepita e, quindi, si concentrerà su trattamento e sintesi delle variabili latenti e delle relazioni tra queste ultime. L’introduzione metodologica sarà affiancata dalla discussione e risoluzione di case studies mediante l’utilizzo del software SPSS.

1) Introduzione al corso.

2) Item analysis

3) Servqual e possibili estensioni.

4) Metodi di riduzione dei dati.

5) Modello di regressione logistica.

Programma esteso

Metodi statistici per la valutazione dei servizi turistici

a) INTRODUZIONE e ITEM ANALYSIS
Veal (2018) Research methods for Leisure and Tourism, Pearson (Fifth edition), chapters 1, 2, 5, 10, 13

b) SERVQUAL

Zeithaml, Parasuraman and Berry (1990 or others) , Delivering Quality Service - Balancing Customer Perceptions and Expectations, The Free Press, New York, chapters 1, 2, Appendix A.

c) LOGISTIC REGRESSION

Agresti A. (2007) An Introduction to Categorical Data Analysis, John Wiley & Sons,

- Chap. 3 Generalized linear model, pag. 70-72

- Chap. 4 Logistic regression, pag. 99-106;110-113; 115-121

- Chap. 5 Building and Applying Logistic regression Models, pag.137-139;141-143; 144-152;

- Chap. 6 Multicategory Logit Models, pag. 173-187

c) PRINCIPAL COMPONENT ANALYSIS

Bartholomew D.J., Steele F., Moustaki I., Galbraith J.I., Analysis of Multivariate social science data, CRC Press (Second Edition), Chap 5

Prerequisiti

Conoscenza della statistica di base.

Metodi didattici

Le lezioni saranno frontali.
Le lezioni saranno affrontate sia da un punto di vista metodologico che attraverso casi reali attraverso l'utilizzo del software statistica SPSS.

Modalità di verifica dell'apprendimento

La verifica dell'apprendimento comprende una prova scritta e un lavoro di gruppo. La prova scritta valuterà le conoscenza teorica degli argomenti. Nel lavoro di gruppo gli studenti dovranno dimostrare la conoscenza del software SPSS.

Testi di riferimento

  • Zeithaml, Parasuraman and Berry (1990 or others) , Delivering Quality Service - Balancing Customer Perceptions and Expectations, The Free Press, New York,
  • Agresti A. (2007) An Introduction to Categorical Data Analysis, John Wiley & Sons.
  • Bartholomew D.J., Steele F., Moustaki I., Galbraith J.I., Analysis of Multivariate social science data, CRC Press (Second Edition).
  • Veal (2018) Research methods for Leisure and Tourism, Pearson (Fifth edition)

Periodo di erogazione dell'insegnamento

Secondo semestre

Lingua di insegnamento

Inglese

Sustainable Development Goals

CITTÀ E COMUNITÀ SOSTENIBILI
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Learning objectives

The course will give students the statistical tools for collecting, processing and analysing tourism data.

Students will have the tools to develop and learn the concepts and quantitative methods proposed during the course.

They will conduct basic research or surveys on issues related to the tourism sector.

They will be able to communicate in a critical and exhaustive research findings related to the tourism sector.

Contents

For the course of Statistical methods for the evaluation of tourism services the main methods for assessing the quality of services and related quantities (satisfaction, loyalty) will be introduced. The course will outline the models for the measurement of expected and perceived quality and, therefore, will focus on the methods to deal with the latent variables The methodological part will be followed by the discussion and the resolution of case studies through the use of SPSS software.

1) Introduction to the course.

2) Item analysis

3) Servqual and possible extensions.

4) Methods of data reduction.

5) Logistic regression model.

Detailed program

a) INTRODUCTION and ITEM ANALYSIS
Veal (2018) Research methods for Leisure and Tourism, Pearson (Fifth edition), chapters 1, 2, 5, 10, 13

b) SERVQUAL

Zeithaml, Parasuraman and Berry (1990 or others) , Delivering Quality Service - Balancing Customer Perceptions and Expectations, The Free Press, New York, chapters 1, 2, Appendix A.

c) LOGISTIC REGRESSION

Agresti A. (2007) An Introduction to Categorical Data Analysis, John Wiley & Sons,

- Chap. 3 Generalized linear model, pag. 70-72

- Chap. 4 Logistic regression, pag. 99-106;110-113; 115-121

- Chap. 5 Building and Applying Logistic regression Models, pag.137-139; 141-143; 144-152;

- Chap. 6 Multicategory Logit Models, pag. 173-187

d) PRINCIPAL COMPONENT ANALYSIS

Bartholomew D.J., Steele F., Moustaki I., Galbraith J.I., Analysis of Multivariate social science data, CRC Press (Second Edition), Chap 5

Prerequisites

Knowledge of Descriptive Statistics.

Teaching methods

The lessons will be frontal.
During the lectures, the topics explained will be dealt with from a theoretical point of view and through empirical cases using SPSS software.

Assessment methods

The assessment includes a written exam and a group work. The written exam  will evaluate the theoretical knowledge of the topics. The group work will consist in the planning and implementation of a statistical survey on tourism.

Textbooks and Reading Materials

  • Zeithaml, Parasuraman and Berry (1990 or others) , Delivering Quality Service - Balancing Customer Perceptions and Expectations, The Free Press, New York,
  • Agresti A. (2007) An Introduction to Categorical Data Analysis, John Wiley & Sons.
  • Bartholomew D.J., Steele F., Moustaki I., Galbraith J.I., Analysis of Multivariate social science data, CRC Press (Second Edition).
  • Veal (2018) Research methods for Leisure and Tourism, Pearson (Fifth edition)

Semester

Second semester

Teaching language

English

Sustainable Development Goals

SUSTAINABLE CITIES AND COMMUNITIES
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Key information

Field of research
SECS-S/05
ECTS
4
Term
Second semester
Activity type
Mandatory
Course Length (Hours)
28
Degree Course Type
2-year Master Degreee
Language
English

Staff

    Teacher

  • MZ
    Mariangela Zenga

Enrolment methods

Manual enrolments
Self enrolment (Student)

Sustainable Development Goals

SUSTAINABLE CITIES AND COMMUNITIES - Make cities and human settlements inclusive, safe, resilient and sustainable
SUSTAINABLE CITIES AND COMMUNITIES

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