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Epistemology and Methodology of Communication Research

Code: 42443
Credits: 6
2026/2027
Degree programme Type Course
Media, Communication and Culture OB 0

Contact lecturer

Name :
Jaume Soriano Clemente
Email :
jaume.soriano@uab.cat

Group languages

You can consult this information at the end of the document.

Prerequisites

No previous knowledge of the Official Master’s Degree in Media, Communication and Culture modules is required.

Objectives

Understanding the logics of knowledge and its application in methods and techniques for media communication research.

Learning outcomes

  1. Use acquired knowledge as a basis for originality in the application of ideas, often in a research context.
  2. Continue the learning process, to a large extent autonomously.
  3. Formulate hypotheses, research questions and objectives.
  4. Construct research samples.
  5. Lead and work in interdisciplinary teams.
  6. Apply procedures for data collection and analysis.
  7. Carry out fieldwork using quantitative and qualitative research techniques.
  8. Assess the appropriateness of techniques of communication research.
  9. Construct instruments for data collection and analysis.
  10. Programme the implementation of research projects.
  11. Identify the different possible research strategies.

Contents

1. Epistemology of scientific knowledge


2. The debate on method in the social sciences. Paradigms


3. Mediated communication as an object of study.


4. The research process. Methodological dimensions



  • 4.1. Choice and delimitation of the object of study.



  • 4.2. Formulation and operationalisation of hypotheses and research questions.



  • 4.3. Sample construction: representativeness and validity


5 Introduction to basic methodological procedures in mediated communication



  • 5.1. Quantitative and qualitative content analysis



  • 5.2. Interviews



  • 5.3. Focus groups



  • 5.4. Ethnography/Participant Observation



  • 5.5. Survey



  • 5.6. Experiments/Quasi-experiments


A detailed schedule outlining the content of each session will be presented on the first day

of the course and will be available on the course’s Virtual Campus, where students will

find the various teaching materials deemed appropriate by the instructors and

necessary information for effective course monitoring. Should the teaching modality change for reasons of force majeure according to the

competent authorities, the teaching staff will inform students of any modifications to the

course schedule and teaching methodologies.



Learning activities and methodology

Title Hours ECTS Learning outcomes
Tutoring 15 0.6 10
Case study 5 0.2 3
Reading, projects and assignments 105 4.2 8, 11
Lectures 25 1 8, 11
  1. Lectures
  2. Case study
  3. Readings
  4. Tutoring
  5. Projects and assignments

The theoretical aspects of the programme will be combined with learning through practical research cases. In all cases, processes of reflection on how we learn will be promoted, as is characteristic of any activity that seeks to delve deeper into the mechanisms of knowledge production.

Note: The course content will be sensitive to issues related to gender perspective and the use of inclusive language.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Realization of assignments 50% 0 0 4, 5, 6, 7, 9, 10
Participating in classes and debates 10% 0 0 1, 2
Content follow-up tests 30% 0 0 3, 8, 11
Oral presentation 10% 0 0 1, 2
  1. 1. Evaluation

The final grade will result of combining four ways of evaluating the academic performance:

1.-Carrying out essays that will be the 50% of the final grade. 50%

2.-Taking a type test exam about the reading of a text. The qualification of this test will be a 30% of the final grade.

3.-Oral presentation to the class of one of the readings of the course, valued at 10% of the final grade.

4.-Class attendance and participating in debates and academic controversies that will take place in class. This will be a 10% of the final grade.


2. Reevaluation

Students will be entitled to reassessment in the course if they have been evaluated on a set of activities accounting for at least two-thirds of the total course grade.

Both the test and the essay can be retaken. Assistance and participation and oral presentation will be not evaluated a second time.

Only students who have failed the test or the essays previously will be suitable for retaking either one or both of them, as long as their final mark for the module is below 5 points. Students with a higher final grade than 4,9 will not be able to retake any activity.


3. Not evaluable


It will be considered non-assessable when less than 85% of the assessable evidence is provided.


4.Ordinary revision of the evaluation activities

In the case of not agreeing with the marks given to each different evaluation activity, the student will have the right to an ordinary revision of those with the professor. The date and time of this revision will be announced on the Virtual Campus module’s class.

5.Extraordinary revision of the module’s final mark

In case of not agreeing with the final qualification of the module, the student will have the right to ask for an extraordinary revision. He or she will have to fill a reasoned request to the Communication Sciences Faculty office within the fifteen days following the publication of the final mark. The revision will be carried outfollowing the extraordinary revision instructions approved by the Faculty Board on the 5th of May of 2016, whichcan be found on the Faculty’s web:http://www.uab.cat/web/estudiar/grados/informacion-academica/evaluacion/revision-extraordinaria-de-la-calificacion-final-1345717361537

6. Single assessment


This module does not include a single assessment system.


ARTIFICIAL INTELLIGENCE

For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for tasks such as bibliographic or information searches, text correction, or translations. Students must clearly identify any parts generated with these technologies, specify the tools used, and include a critical reflection on how AI has influenced the process and final outcome of the assignment. Failure to disclose the use of AI in this assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases. Teachers will be able to use tools to detect similarities or plagiarism and tools to detect the use of generative artificial intelligence.

Any student suspected of submitting assignments that have been generated by AI, written by others or copied; include unattributed AI-generated content, or fall outside the permitted scope, may be asked to provide the preliminary work or ther materials that can demonstrate it is original work and the result of their own authorship. They may also be asked to separately explain or justify their work. Teachers may also use AI detection systems or carry out any verification tasks they deem appropriate. If, after review, the instructor detects irregularities, the assignment may be graded zero, and the student may be subject to further disciplinary action.


PLAGIARISM

The performance of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless this use is expressly authorized by the teaching guide), which may lead to a significant variation in the grade, assumes that this act will be graded with a 0. In the event that the teaching guide foresees that in order to pass the subject it is an essential requirement to have obtained a minimum grade in this evaluation act or that there are several irregularities in the evaluation acts of the same subject, the final grade of this subject is 0. Apart from this, a disciplinary process may be instructed to the student that incurs any of these irregularities.


NOTE: The proposed teaching methodology and evaluation activities may undergo some modifications depending on the health authorities' attendance restrictions.

Bibliography

Arroyo, Millán; Sádaba, Igor (coords.)

2012 Metodología de la investigación social Madrid, Editorial Síntesis.

Becker, Howard

2011 [1986] Manual de escritura para científicos sociales Buenos Aires, Siglo XXI.

Chalmers, Alan F.

2000 ¿Qué es esa cosa llamada ciencia? (Tercerca edición en España) Madrid, Siglo XXI.

Couldry, Nick and Hepp, Andreas

2017 The Mediated Construction of Reality, Cambridge, Polity Press.

Della Porta, Donatella; Keating, Michael (eds.)

2013 Enfoques y metodologías en las ciencias sociales, Madrid, Ediciones Akal.

Gauntlett, David

2007 Creative Explorations. New approaches to identities and audiences New York, Routledge.

Goyanes, Manuel

2017 Desafío de la investigación estándar en comunicación. Crítica y alternativas, Barcelona, Editorial UOC.

Hansen, Anders and Machin, David

2019 Media and Communication Research Methods (2nd Edition), London, Red Globe Press

Igartua, Juan José

2006 Métodos cuantitativos de investigación en comunicación Barcelona, Bosch.

Íñiguez, Lupicinio (ed.)

2006 Análisis del discurso. Manual para las ciencias sociales Barcelona, Editorial UOC.

Kubitschko, Sebastian i Kaun, Anne

2016 InnovativeMethods in Media and Communication Research eBook, Springer

Rose, Gillian

2019 Metodologías visuales: una introducción a la investigación con materiales visuales Murcia, Cendeac.

Soriano, Jaume

2007 L’ofici de comunicòleg Vic, Eumo Editorial.

2017 \"Investigar la comunicación con métodos biográficos. Propuestas de estudio\", en Historia y Comunicación Social vol. 22(1), pàgs. 157-171.

Wright Mills, Charles

2009 [1959] La imaginación sociológica México D.F., Fondo de Cultura Económica.

Verd, Joan M.; Lozares, Carlos

2016 Introducción a la investigación cualitativa Madrid, Editorial Síntesis.

VV.AA.

1973 La disputa del positivismo en la sociología alemana Barcelona, Grijalbo.

Software

This subject does not require knowledge of specific computer programmes other than those for writing university papers and for telematic communication.

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TEm) Theory (master) 40 Spanish first semester afternoon