B3083 - METHODS IN PERSONNEL PSYCHOLOGY

Anno Accademico 2025/2026

  • Docente: Giulia Balboni
  • Crediti formativi: 7
  • SSD: M-PSI/03
  • Lingua di insegnamento: Inglese
  • Moduli: Giulia Balboni (Modulo 1) Giulia Casu (Modulo 2)
  • Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
  • Campus: Cesena
  • Corso: Laurea Magistrale in Work, organizational and personnel psychology (cod. 6747)

Conoscenze e abilità da conseguire

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.

Contenuti

The course unit provides an in-depth exploration of the core principles of research methodology and data analysis to provide students with the expertise to develop and implement a research project in the field of Work, Organizational, and Personnel Psychology.

Module # 1

Research study features

Steps of a research study

Rules for selecting and applying a statistical test for hypothesis testing

Module # 2

Data analytic techniques for describing variables, comparing groups, and examining relationships among variables in applied research:

Descriptive statistics

ANOVA

Multiple linear regression analysis

Mediation and moderation models

Testi/Bibliografia

The following readings apply to both module #1 and module #2

(1) Howitt, D., & Cramer, D. (2024). Research methods in psychology (7th Edition). Pearson.

(2) Landers, R. N., & Behrend, T. S. (2024). Research methods for industrial and organizational psychology (1st Edition). Routledge.

(3) Pallant, J. (2020). SPSS survival manual. A step by step guide to data analysis using IBM SPSS (7th Edition). McGraw Hill Open University Press.

(4) Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th Edition). Sage.

(5) Materials provided by the teachers, including the slides presented during the lectures, and made available on the virtual platform.

The list of required and suggested chapters will be defined in the classroom based on the progress of the lessons. Both the course contents and the bibliography are subject to change based on the progress of the lessons.

Metodi didattici

The course unit will adopt a learning-by-doing approach, with the teachers introducing each topic and then guiding the students in practical exercises, some of which are with statistical software.

The lectures will provide a more comprehensive examination of the topics presented in the texts and will include practical exercises that are essential for learning and cannot be replaced by studying the texts alone. It is therefore recommended that students attend the lectures actively.

In view of the activities in the computer laboratory, the attendance of this course unit requires the prior participation of all students in Module 1, 2 [https://www.unibo.it/en/services-and-opportunities/health-and-assistance/health-and-safety/online-course-on-health-and-safety-in-study-and-internship-areas] on Health and Safety online.

Modalità di verifica e valutazione dell'apprendimento

The assessment covers both modules, evaluating the learning outcomes of the two modules concurrently. It is based on two types of performance: individual (i.e., oral exam) and group (i.e., group assignments/presentations). The grading scale ranges from 0 to 30 (with the possibility of an honor), and the minimum passing grade is 18. The final grade is calculated as the average of the individual and group performance grades.

The oral exam consists of an oral discussion (approximately 2 questions) that focuses on verifying the acquisition of the course unit topics and their application in novel contexts.

All course unit topics may be examined, and each is given the same weight. During the exam, the use of books, notes, and electronic devices is prohibited, except for students with a Specific Learning Disorder certification and for students with disabilities who are permitted to utilize aids and support.

Details on the group assignments will be provided during the lectures and uploaded to Virtuale.

The student is required to complete the online registration within the terms in order to be admitted to the exam. Students who are unable to enroll within the due date must inform the secretarial office promptly. The teachers will consider the request and decide about the admission.

Students with learning disorders and\or temporary or permanent disabilities: please, contact the office responsible (https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students) as soon as possible so that they can propose acceptable adjustments. The request for adaptation must be submitted in advance (15 days before the exam date) to the lecturer, who will assess the appropriateness of the adjustments, taking into account the teaching objectives.

Strumenti a supporto della didattica

PowerPoint presentations, paper-pencil instruments, guided discussions, teaching materials and databases provided by the teachers, and statistical software.

Policy on the Use of Technology in the Classroom

  • Students may not use any handheld devices in the classroom (cell phones, cameras, etc.) without the explicit permission of the professor.
  • Computers should be used for note-taking only.
  • Students who need to use voice recorders for class lectures must receive the explicit permission of the professor in order to do so.

Orario di ricevimento

Consulta il sito web di Giulia Balboni

Consulta il sito web di Giulia Casu

SDGs

Salute e benessere Lavoro dignitoso e crescita economica Ridurre le disuguaglianze

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.