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Qualitative Methods for Research in Social Sciences

Code: 45784
Credits: 5
2026/2027
Degree programme Type Course
Interdisciplinary Studies in Environmental, Economic and Social Sustainability OP 1

Contact lecturer

Name :
Alaitz Zabala Torres
Email :
alaitz.zabala@uab.cat

Teaching staff

Aimada Sole Figueras

Group languages

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

Prerequisites

None

Objectives

This module develops the knowledge and skills required to design and conduct qualitative research in the social sciences. The course guides students through all stages of the research process and provides them with the conceptual, methodological and analytical tools needed to design, conduct, analyse and communicate rigorous qualitative research.

Throughout the course, students examine the epistemological foundations of qualitative research, research design, ethical considerations, fieldwork, qualitative data collection and analysis techniques, and the communication of research findings.

Teaching is organized as a research seminar combining readings, class discussions, practical exercises, fieldwork and student presentations. Students are expected to complete the assigned readings and activities before each session and to participate actively in seminar discussions and exercises.

Learning outcomes

  • CA27 (Formulate research questions that integrate the interactions between ecological, economic, and social systems to address sustainability challenges, considering their ethical and social implications.) Formulate research questions that integrate the interactions between ecological, economic, and social systems to address sustainability challenges, considering their ethical and social implications.
  • CA28 (Design social science research, selecting and applying appropriate qualitative methods and techniques to address complex environmental problems.) Design social science research, selecting and applying appropriate qualitative methods and techniques to address complex environmental problems.
  • CA29 (Critically evaluate the ethical and social implications in the design of research in the field of social sciences.) Critically evaluate the ethical and social implications in the design of research in the field of social sciences.
  • KA28 (Describe the epistemological concepts and design logic of qualitative and quantitative research in the social sciences.) Describe the epistemological concepts and design logic of qualitative and quantitative research in the social sciences.
  • KA29 (Define the different sources of information and data collection, processing and analysis techniques used in social science research (including the necessary software), recognising their usefulness.) Define the different sources of information and data collection, processing and analysis techniques used in social science research (including the necessary software), recognising their usefulness.
  • SA28 (Prepare exhaustive bibliographic reviews (systematic and narrative) on topics of interest in the field of Environmental Science and Technology.) Prepare exhaustive bibliographic reviews (systematic and narrative) on topics of interest in the field of Environmental Science and Technology.
  • SA29 (Apply self-directed learning to acquire, further explore and update research and data analysis methodologies (interviews, focus groups, participant observation, etc.) in the field of social sciences.) Apply self-directed learning to acquire, further explore and update research and data analysis methodologies (interviews, focus groups, participant observation, etc.) in the field of social sciences.
  • SA30 (Determine the most appropriate methodological approach based on the research questions posed in the field of social sciences.) Determine the most appropriate methodological approach based on the research questions posed in the field of social sciences.

Contents

Block 1. Foundations of Qualitative Research

Introduction to Social Science Research and Research Design.

Research Topics and Research Questions.

Research Design.

Block 2. Qualitative Data Collection Methods

Data Collection I: Interviews.

Data Collection II: Focus Groups.

Data Collection III: Observation and Case Studies.

Data Collection IV: Other Qualitative Methods.

Block 3. Data Analysis and Advanced Approaches

Qualitative Data Analysis: CAQDAS (Computer-Assisted Qualitative Data Analysis Software).

Mixed Methods and Community-Based Participatory Research (CBPR).

Block 4. Final Stages of the Research Process

Managing Ethical Issues in Research.

Writing and Publishing Qualitative Research.

Learning activities and methodology

Title Hours ECTS Learning outcomes
Preparation of a final project (individual and group) 40 1.6 CA27, CA28, CA29, SA28, SA30
Small-group work 10 0.4 CA27, CA28, SA30
Fieldwork 4 0.16 CA28, SA29, SA30
Lectures 16 0.64 KA28, KA29
Completion of short independent assignments 17 0.68 SA30
Practical exercises guided by the instructor 7 0.28 KA29, SA30
Preparation for fieldwork 4 0.16 CA28, SA29
Tutorials 6 0.24 CA29, SA29, SA30
Reading Academic Literature 16 0.64 KA28, SA28

The course combines individual work, group work and practical workshops aimed at applying theoretical concepts and developing competencies in qualitative research.

Group Work (in class)

  1. Critical discussion of the readings and documents assigned for each session.

Individual Student Work

  1. Preparation of weekly readings and assigned work.
  2. Preparation and conduct of observations.
  3. Preparation, conduct and transcription of interviews.
  4. Writing field notes based on interviews and observations.
  5. Writing analytical memos, research reports and academic papers based on fieldwork.
  6. Completion of in-class exercises.

Small-Group Practical Workshops

  1. Qualitative Data Analysis Workshop.
  2. Fieldwork Workshop: Participant Observation.
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
Discussion of Readings 10 2 0.08 CA29, SA28, SA29
Individual and Group Assignment 50 1 0.04 CA27, CA28, KA28, KA29, SA28, SA29, SA30
Final Examination 40 2 0.08 CA27, CA28, CA29, KA28, KA29, SA28, SA29, SA30

Assessment in this course is based on continuous evaluation and consists of practical classroom exercises, participation in the critical discussion of the required readings, and a final examination. Assessment will take into account the quality of students' contributions, their critical thinking skills, their active participation in class discussions, and their overall engagement with the learning process. Only the final examination is eligible for resit.


To be eligible for the resit examination, students must have previously completed assessment activities accounting for at least two-thirds of the final course grade. Students will be required to take the resit examination if they obtain a mark below 4.0 in the final examination or if their overall course grade is below 5.0.


Students will receive the grade "Not Assessable" if they have submitted no assessment activities or if the submitted work accounts for no more than one-third of the final course grade. Once this threshold has been exceeded, the final grade can no longer be recorded as "Not Assessable" and will be calculated on the basis of the assessment evidence submitted.


Any academic misconduct that may significantly affect the outcome of an assessment activity will result in a grade of 0 for that activity, without prejudice to any disciplinary procedures that may be initiated. If multiple cases of academic misconduct are detected within the same course, the final course grade will be 0. Academic misconduct committed during the final examination will not be eligible for resit.


This course does not offer a single-assessment option.


The use of Artificial Intelligence (AI) tools is permitted exclusively as support for learning and research activities, such as literature and information searches, text summarisation, language editing or translation. Students must explicitly declare the use of AI tools, specify which tools have been used, and explain how they contributed to the development of the assessed work. Failure to disclose the use of AI tools will be considered a breach of academic integrity and may result in a partial or total reduction of the grade for the assessment, as well as the application of any disciplinary measures established by the University's academic regulations.

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La col.lecció de l'editorialSage "Qualitative Research Methods" inclou guies excel.lents, com per exemple:

Erickson and Stull, Doing Group Ethnography (#42)

Schwartzman, Ethnography in Organizations (#27)

Feldman, Strategies for Interpreting Qualitative Data (#33)

Gladwin, Ethnographic Decision Tree Modeling (#19)

Holstein and Gubrium, The Active Interview (#37)

Riessman, Narrative Analysis (#30)

Software

Microsoft Office o similar.

Nvivo/Atlas.ti

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) 1 English first semester morning-mixed