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 Psicologia per la formazione - Enrollment from 2025/2026The 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
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2° Year activated in the A.Y. 2021/2022
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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.
Data analysis (2021/2022)
Teaching code
4S007370
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
M-PSI/03 - PSYCHOMETRICS
Period
Sem. 1B dal Nov 15, 2021 al Jan 12, 2022.
Learning outcomes
The course aims to provide students with an understanding of statistical concepts and the ability to conduct statistical analyses (using open source statistical packages) as used in psychological research. Topics include descriptive statistics, inferential statistics and correlational models. Basic skills will be given in designing, executing, analysing, interpreting and reporting psychological research, mainly in the organizational context. By the end of the course students will be able to: - describe and use some techniques of data collection and data analysis in psychological educational research, and report and discuss the results; - describe and use methods useful to assess the effectiveness of interventions; - develop research design, mainly in the field of organizational and educational psychology.
Program
- Describing data (measures of central tendency and dispersion)
- Normal distribution and z-scores
- Sampling distribution, and hypothesis testing, power, effect sizes
- Hypothesis tests applied to means: t-tests (for independent and related samples)
- Simple Analysis of Variance (for independent and related samples)
- Factorial Analysis of Variance (between, within, and mixed models)
- Correlation and Regression
- Categorical data and chi-square
- Hierarchical regression and moderation analysis
Howitt, D., & Cramer, D. (2007). Introduction to statistics in psychology. Pearson education.
Bibliography
Examination Methods
A written assessment, using the computer, will be proposed. Students should be able to use a spreadsheets (Microsoft Excel, free for students, or Apache OpenOffice Calc) and JAMOVI, an open source statistical packages. Starting from a given dataset, students should perform some analysis in agreement with the program of the course, and discuss the results.
Subject to agreement with students, the exam may be an orale exam.
