96137 - Applied Statistics (I.C.)

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

The formulation of scientific hypotheses: research design, choice of sample and tools, data collection and database construction.
Sample description: descriptive statistics and chi-square test.
Introduction to inferential statistics. Statistical significance and effect size.
Parametric tests: assumptions, correlation analysis, multiple linear regression analysis, analysis of variance (ANOVA).
Quantitative measurement tools: structural validity and exploratory factor analysis (AFE); calculation of reliability.

The course will take place during the first cycle of lectures (from October to December 2022) at the Department of Psychology in Cesena.

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