Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Linguistics - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
6
B
L-LIN/01
One module to be chosen between the following
One module to be chosen among the following
6
C
L-FIL-LET/12
6
C
M-FIL/05
One module to be chosen among the following
6
C
L-FIL-LET/15
6
C
L-FIL-LET/09
Further language skills
3
F
-

2° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
One module to be chosen between the following
Final exam
24
E
-
ModulesCreditsTAFSSD
6
B
L-LIN/01
One module to be chosen between the following
One module to be chosen among the following
6
C
L-FIL-LET/12
6
C
M-FIL/05
One module to be chosen among the following
6
C
L-FIL-LET/15
6
C
L-FIL-LET/09
Further language skills
3
F
-
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
One module to be chosen between the following
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Other activities
3
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

iIntroductory
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mMasterful

Teaching code

4S007300

Coordinator

Chiara Mazzi

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

Period

Sem. 2A dal Feb 18, 2019 al Mar 30, 2019.

Learning outcomes

The aim of the course is to provide the basic knowledge of the methods of statistical analysis and their application and interpretation in the psycholinguistic field, starting from the organization and analysis of real databases. The main concepts of statistical reasoning, both descriptive and inferential, will be presented and discussed, providing the student with the operational tools that make it able to carry out simple statistical analyses in the field of experimental linguistics and human sciences, interpreting and presenting the results in a critical way.

Expected results:
- Organize a set of real data and recognize its type and structure.
- Identify the optimal tools to be applied in the empirical analysis of a database.
-Apply the main methods of descriptive and inferential statistical analysis.
- Critically interpret the results of a statistical analysis, contextualizing them with reference to the real situation under examination in experimental linguistics.
- Present the results of the analyses in an effective and appropriate manner.

Program

- The Nature of data: scales of measurement
- Univariate frequency distributions
- Descriptive statistics: measures of central tendency
- Descriptive statistics: measures of variability
- Z -scores, quartiles, and percentiles
- Bivariate frequency distributions
- Probability
- Probability distributions
- Sampling distributions
- Hypothesis testing
- Correlation and regression

The free statistics software JASP will be used for the practical part of the course.

Lecture slides will be provided throughout the course.

FURTHER OPTIONAL BIBLIOGRAPHY:
Lowie W, & Seton B. (2012). Essential Statistics for Applied Linguistics, Macmillan
Field A. (2018). Discovering Statistics Using IBM SPSS Statistics. Fifth Edition, SAGE Publications
Primi C. & Chiesi F. (2018). Introduzione alla psicometria, Laterza

Examination Methods

The final exam is a written test assessing theoretical and practical issues covered during the course.
To pass the exam the student should have understood the theoretical principles, be able to use them in order to perform basic data analysis and interpret results.
Students who cannot attend the lessons are invited to contact the teacher.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE