EPG 1 METODOLOGIA DELLA RICERCA E TECNICHE MULTIVARIATE DI ANALISI DEI DATI

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

Single discipline educational activity

Course Sheet

Course code:

PSI0243F

Academic Year of enrolment:

2018

Year of supply:

2018/2019

Degree:

Course of 2nd Cycle Degree in PSYCHOLOGY

Disciplinary Sector:

Psychometrics

Language:

Italian

Location:

CHIETI

Credits:

Programme Year:

Professor and Collaborators:

TOMMASI Marco

Cycle:

First semester

Obligatory attendance:

Yes

Minimum hours of attendance:

Hours of classroom activity:

Individual study hours:

Prerequisites:

Ability to use standard software applications such as the Microsoft Office suite.

Objectives

Expected learning outcomes:
Knowledge and understanding:
- Knowledge of the open source programming environment R
- Knowledge of the Rstudio program

Ability to apply knowledge and understanding:
- Programming of scripts in Rstudio
- Registration and visualization of the results of multivariate statistical analyses

Autonomy of judgment:
- Ability to evaluate the output of an electronic project autonomously
- Ability to evaluate the accuracy of the algorithms of an electronic analysis

Communication skills:
- Ability to describe the logical steps of a function or program
- Ability to evaluate the correctness of an electronic coding
Learning ability:
- Ability to use a program for statistical calculations
- Ability to perform the calculations provided for multivariate analysis techniques
- Ability to perform electronic coding for multivariate analyses

Contents

Application of a program (RStudio) for the execution of calculations of multivariate analysis statistical techniques (regression, variance analysis, factor analysis)

Extended Syllabus

Part I - Knowledge of the R environment and the RStudio program
- Knowledge of R and RStudio
- Installation and use of R
- installation and use of RStudio

Part II - Database creation and data analysis
- Creation of databases in electronic format (.txt, .xls, .dat, .crv)
- Analysis of database quality (wrong or missing data processing)
- Descriptive analysis of data

Part III - multivariate analysis with RStudio
- Regression analysis with RStudio (with examples taken from the scientific literature)
- Analysis of variance with RStudio (with examples taken from the scientific literature)
- Exploratory and confirmatory factor analysis with RStudio (with examples taken from the scientific literature).

Recommended Bibliography

References for the theoretical part of the course:
A) M. Tommasi – A. Busonera, 2010, “Teoria e tecniche dei reattivi e delle interviste in psicologia”, Franco Angeli Editore, ISBN 9788856815719- Capp. 9 e 11
B) Ercolani A. P., Areni A., Leone L., 2002, ”Statistica per la psicologia. II statistica inferenziale ed analisi dei dati”, Il Mulino, Bologna, ISBN 8815084134-Cap. 4

References for the practical part of the course:
Booklets about RStudio language and programming delivered by the teacher. Material can be found at: “www.psicometria.unich.it”

Methods of Provision

Conventional

Teaching Methods

The course includes 16 hours of frontal teaching, divided into lessons of 2 to 3 hours depending on the academic calendar. Frontal teaching consists of theoretical and practical lessons. During the lessons the main topics of teaching are explained with computer examples.

Evaluation methods

Verification of learning:

For attending students the verification of their competency is based on a written or oral exam at the end of the lessons. The final exam can be done only by those students who have attended at least 12 hours on 16. For not attending students the exam consists of a written test with 20 multiple choice questions. The duration of the written test is about 25 minutes.

Contacts/More Information

On the site www.psicometria.unich.it it is possible to find any additional didactic material or information that the teacher thinks to be appropriate for the course.

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

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