Checking date: 09/05/2022

Course: 2022/2023

Research methods and Topics in human resources
Study: Master in Human Resources (276)

Coordinating teacher: ZARRAGA OBERTY, CELIA MARIA

Department assigned to the subject: Department of Business Administration

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
No special requirement
This subject aims to provide a general view on research methods in the specific area of Human Resource Management. Given the growing impact and importance of conducting top quality research in the management area, it is critical for students of HRM to develop the knowledge and skills in that area. If they do it properly, that knowledge can become a real source of competitive advantage in the job market. At the end of the course participants will be able to: ¿ Understand the nature and purpose of research in the HR area. ¿ Identify the main stages and characteristics of a good research project. ¿ Describe the main research paradigms and research methodologies in the realm of HRM. ¿ Develop some basic statistical tools to conduct analytical surveys in the HRM area.
Skills and learning outcomes
Description of contents: programme
- Research topic in Human Resource Management - The Structure of a research paper - Unit of analysis, population and sample. Variables and constructs. - Data sources: primary data and secondary data. - Descriptive analysis - Inferential analysis: correlations - Inferential analysis: regressions - Experiments - Qualitative research
Learning activities and methodology
The course will be based on readings, some exercises, and a final written exam. Throughout the course, students will be asked to hand in some exercises and are urged to actively participate during every class with their opinions, doubts and comments. Students will be also encouraged to consult different sources of information (webs, journals, career services, etc.). Notice that a significant part of the course workload will be done within learning teams.
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60
Basic Bibliography
  • Bryman, A. & Cramer, D.. Quantitative Data Analysis with SPSS for Windows. Routledge. 1997
  • Collis J. & Hussey, R.. Business Research. A practical guide for undergraduate & posgraduate students . Palgrave Macmillan. 2014
  • Gerring, J.. Metodología de las Ciencias Sociales. Alianza Editorial. 2012

The course syllabus may change due academic events or other reasons.