B3083 - Methods in Personnel Psychology

Academic Year 2023/2024

  • Moduli: Paola Gremigni (Modulo 1) Paola Gremigni (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Cesena
  • Corso: Second cycle degree programme (LM) in Work, Organizational and Personnel Psychology (cod. 5967)

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: 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 and non-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.

Module # 2

Multiple linear regression analysis: hierarchical vs. stepwise.

Mediation models.

Moderation models.

Logistic regression and other non parametric tests.

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

Individual oral exam.

Teaching tools

Power point presentation.

Statistical softwares (SPSS and JASP).

Databases provided by the teacher.

Journal articles suggested oby the teacher.

Office hours

See the website of Paola Gremigni

SDGs

Good health and well-being Quality education Gender equality Decent work and economic growth

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