96170 - Methods in Personnel Psychology

Course Unit Page

  • Teacher Paola Gremigni

  • Learning modules Paola Gremigni (Modulo 1)
    Paola Gremigni (Modulo 2)

  • Credits 8

  • SSD M-PSI/03

  • Teaching Mode Traditional lectures (Modulo 1)
    Traditional lectures (Modulo 2)

  • Language English

  • Campus of Cesena

  • Degree Programme Second cycle degree programme (LM) in Work, Organizational and Personnel Psychology (cod. 5829)

  • Course Timetable from Oct 05, 2021 to Nov 11, 2021

    Course Timetable from Nov 16, 2021 to Dec 20, 2021

SDGs

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

Good health and well-being Quality education Gender equality

Academic Year 2021/2022

Learning outcomes

By the end of the course, students will: - know the main research methods and data analysis applied to WOP field; - know the methods to assess personnel performance at different levels, in order to develop performance-focused interventions - be able to identify appropriate measures, to use statistical tools for data analysis, and to present results. - be able to develop a project in personnel psychology for the organizational management.

Course contents

Module 1

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.

Module 2

Confirmatory factor analysis.
Mediation and moderation models.
Nonparametric tests.
Multiple logistic regression analysis.
Cluster analysis.

Readings/Bibliography

Textbook provided by the teacher.

Teaching methods

Brief lessons accompanied by group exercises.

Assessment methods

Report of statistical analyses run on a database provided by the teacher, discussion, and presentation of the results.

Teaching tools

Power point, JASP and SPSS.

Office hours

See the website of Paola Gremigni