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.
Type D and Type F activities
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| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Cross-cultural encounters and revisionary literary history | F |
Maria Adele Cipolla
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Force and Grace in Public Speaking | D |
Roberta Facchinetti
(Coordinator)
|
| 1° 2° | Implicit and Intercultural Communication | D |
Roberta Facchinetti
(Coordinator)
|
| 1° 2° | SFIDE - Europe | D |
Gherardo Ugolini
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Bilingualism in the families, school and society | D |
Chiara Melloni
(Coordinator)
|
| 1° 2° | Teoria formale dei linguaggi e grammatica: dalla commutazione alla descrizione linguistica | D |
Denis Delfitto
(Coordinator)
|
| 1° 2° | Semantics and pragmatics of procedural expressions: tenses, prepositions and deictic adverbs | D |
Chiara Melloni
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Hawai’i: languages and fairytales | D |
Chiara Melloni
(Coordinator)
|
Statistics for the humanities (2018/2019)
Teaching code
4S007300
Teacher
Coordinator
Credits
6
Language
English
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.
