96137 - Applied Statistics (I.C.)

Academic Year 2023/2024

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: application of statistics and psychometrics to the field of work and organizational psychology.

The quantitative research process.

Descriptive and inferential statistics.

Assumptions for parametric tests.

Correlation and multiple linear regression analysis.

Differences between groups: analysis of variance (ANOVA).

Psychometric characteristics of quantitative questionnaires: validity and reliability.

Validity: factor analysis.

Reliability: Cronbach's alpha and other indexes.

Readings/Bibliography

Text-book provided by the teacher.

Suggested readings:

Warne R.T. Statistics for the Social Sciences. A General Linear Model Approach. Cambridege University Press, 2020.

Lovett. B.J. Practical Psychometrics. A guide for test users. The Guildford Press, 2023.

Teaching methods

Learning by doing: the teacher will introduce each topic and then guide the students in practical exercises with statistical softwares (SPSS and JASP).

Assessment methods

Assigned practice tasks and individual oral exam.

Teaching tools

Text-book provided by the teacher.

Power point presentation.

Use of statistical softwares (SPSS and JASP) in the compurer lab.

Journal papers and a database provided by the teacher.

Office hours

See the website of Paola Gremigni

SDGs

Quality education Decent work and economic growth Sustainable cities Partnerships for the goals

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