96137 - Applied Statistics (I.C.)

Course Unit Page

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Gender equality Decent work and economic growth

Academic Year 2021/2022

Learning outcomes

By the end of the course, students will know and understand the main research methods and data analysis applied to work, organizational and personnel psychology. In particular, students will be able to identify appropriate measures, to use statistical tools for data analysis, and to present results.

Course contents

Introduction to inferential statistics.
Statistical significance and effect size.
A priori calculation of the sample size.
Quantitative measurement tools: validity and reliability.
Assumptions for using parametric tests.
Exploratory factor analysis.
Multiple linear regression analysis.
Analysis of variance: ANOVA, ANCOVA, MANOVA, and repeated measures ANOVA.
 

Readings/Bibliography

Textbook provided by the teacher.

Teaching methods

Brief lessons followed by practical exercises using databases provided by the teacher.

Assessment methods

Production of a report of analyses of databases provided by the teacher and discussion and presentation of the results.

Teaching tools

Power point presentation; SPSS and JASP statistical software.

Office hours

See the website of Paola Gremigni