Degree | Type | Year |
---|---|---|
4313228 Social Policy, Employment and Welfare | OB | 0 |
You can view this information at the end of this document.
It is advisable to study the Advanced Social Research Methods module (MARS) after this module, if the student considers she might apply advanced research methods on her Final Master Thesis (TFM) or it its aim is to develop and expand the knowledge of the research methods applied in the social sciences.
It is also advisable to read academic articles in English.
Methodology and Techniques for Social Research (MTSR) aims to enable students to acquire the methodological knowledge required to carry out a master's degree and complete the final master's thesis (FMT). It is about students being able to reach the skills to carry out a small research or to make a simple evaluation of a public policy. The students will learn to justify the object of study, define the conceptual framework and the methodological design and to correctly use the appropriate qualitative and quantitative techniques to generate the relevant information and analyze it. On the one hand, the basic tools for empirical research will be provided, either qualitatively or quantitatively, or in combination. The central elements of a research project will be reviewed: how to ask a good research question, how to formulate objectives and working hypotheses from the theoretical review and thus define the sociological problem, and how to make an adequate design. On the other hand, a general review of the existing panorama of quantitative and qualitative methods will be made. Students will learn to recognize and critically reflect the epistemological and theoretical foundations of these methods, and will acquire the necessary technical knowledge to apply them and perform a rigorous and quality sociological analysis. These general objectives are complemented by 4 specific objectives:
1. To provide the basic concepts to formulate a research question based on existing theoretical knowledge based on published research.
2. To have the knowledge and standards to formulate relevant, concise and verifiable objectives and assumptions.
3. To provide knowledge to develop an appropriate research design, whether in a quantitative, qualitative or mixed orientation.
4. To present the appropriate qualitative or quantitative methodology for obtaining and analyzing the data.
The contents of the module are structured around three thematic sections:
1. Research Design (professors Mireia Bolíbar, Pedro López and Joel Martí) (20 hours)
The general objective of this blog is to start master students in the world of social science research. We want to consider a reflection on what it means to research in the social sciences and to provide the tools to know how to do it. The fundamental interests of the block are oriented towards clarifying the basic requirements of the scientific methodology, the concepts and instruments of the applied research to the analysis of the social reality and the routines and basic instrumental abilities that allow to develop the " research activity The organization of the blog will thus be oriented to make explicit what are the central elements that allow to do sociological research, as well as to transmit to the students the necessary knowledge to build a research or diagnostic object and prepare the corresponding research design. In this sense, it is essential to know the main sources of information and scientific documentation, acquire basic research habits in the social sciences, and learn a rigorous work style, capable of combining the use of recognized criteria by the scientific community with personal creativity.
The key elements of social research design will be reviewed, and different types of research designs will be presented, for qualitative, quantitative and mixed methodologies, as well as public policy evaluation.
2. Qualitative methods (professor Joan Miquel Verd) (6 hours)
This block offers an overview and basic knowledge of two of the most important qualitative data collection methods in the social sciences, such as the qualitative interview and the use of documents. In addition, it is also intended to offer the basic knowledge for the correct and rigorous analysis of qualitative data. To do this, one of the most used qualitative data analysis methods will be presented, such as qualitative content analysis (also known as thematic analysis).
The objectives of the block are four. The first is that students know the main existing variants of the above mentioned data collection methods. The second is that students learn to select the method and its most appropriate variant based on the object of study and the research question. The third objective is that students acquire sufficient technical knowledge of each method for its correct use and, with this, to be able to collect valid and quality qualitative data. Finally, the objective is also for students to learn a rigorous data analysis method and thus to be able to carry out valid interpretations supported by the data.
3. Quantitative methods (Professors Pedro López and Joan Miquel Verd) (6 hours)
The general objective of this block is to offer an overview of the main characteristics of the analysis models and analysis designs from a quantitative methodological perspective and to deal with the most basic techniques of univariate descriptive and exploratory analysis, as well as the fundamentals of inferential statistics and the contrasting of hypotheses. The conceptual foundation of the contents will be given with an applied and practical orientation. The purpose of the training is for students to acquire sufficient knowledge so that they can apply it in their research, as well as provide the bases for its subsequent expansion. The training will involve learning the formalization aspects of this methodology, the main objective being the understanding and interpretation of the information they generate in order to understand the publications that make use of this methodology, as well as to carry outanapplied study. A session will also be offered to learn how to quantitatively analyse qualitative data: specifically, this session will address quantitative content analysis. In relation to the analysis techniques, the basic notions of the SPSS software for the treatment and analysis of quantitative data will be introduced. The content of this part of the module will be continued in the second semester of the master's degree in the advanced methodology module where bivariate analysis techniques and introduction to multivariables, those related to social network analysis and social simulation will be discussed.
CONTENT
Introduction
1. Basic research concepts
What is a sociological problem?
Positioning of the researcher and stages of a research.
2. The research process in social sciences
Building a research object and formulating research questions.
The exploration. Collection and systematization of information.
Elaborating the state of the art.
Methodological design
3. Introduction to research design
The model of analysis. Definition of key concepts. Delimitation of research hypotheses.
Research design overview: Quantitative, qualitative, and mixed methods.
4. Qualitative design decisions
The research question and the type of information sought
Field and sample in qualitative research
The type of information provided by the different qualitative methods
5. Quantitative design decisions
Process and dynamics in quantitative research
Models of analysis and analysis designs
Analysis and validity designs
Measurement in Social Sciences: characteristics and process
Using surveys to produce information
Statistical sampling
6. The methodological articulation in mixed methods research designs
Challenges and theoretical-methodological debates around the combination of quantitative and qualitative methods
Designs and forms of multi-method articulation
7. The evaluation of public policy
Why do we need to perform evaluations? Purposes, recepients and perspectives
Theory of change in social policies and programs
Type of evaluations
Quantitative, qualitative and participatory evaluation methods
Data collection and analysis
8. The qualitative interview
Fundamentals and general characteristics
Selection of the sample and types of interviews
The script and aspects of development
Potentialities and limitations
9. The use of documents
Definition and general characteristics
The selection of the type and corpus of documents
Potentialities and limitations
10. The analysis of statistical data
Classification of analysis techniques
Descriptive and exploratory analysis of univariable data
Fundamentals of inferential statistics
The statistical software. Introduction to SPSS
11. The analysis of qualitative data
Qualitative content analysis
Quantitative analysis of textual data
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Lectures | 32 | 1.28 | 3, 5 |
Type: Supervised | |||
Office Hours | 6 | 0.24 | 1, 2, 4 |
Project monitoring | 10 | 0.4 | 1, 2, 3, 4 |
Type: Autonomous | |||
Completion of assignments | 70 | 2.8 | 2, 3, 6, 7 |
Hands-on exercises | 12 | 0.48 | 1, 2, 3 |
Readings | 20 | 0.8 | 1, 3, 5, 6 |
The section will combine participatory master lectures with reading sections, practical exercises and sessions in the computer class. Lecturers will seek the participation of students by providing topics for discussion and examples from their research experience. They will provide adequate empirical material to be analyzed with the procedures corresponding to each sections. Students will also be asked to be able to analyze their own data, whether they are produced by themselves or coming from secondary sources.
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.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Attendance and participation in class exercises and debates | 10% | 0 | 0 | 2, 3, 4, 5, 7 |
Design of a research project proposal. Part 1: General approach and global design | 40% | 0 | 0 | 1, 2, 3, 5, 6 |
Design of a research project proposal. Part 2: Quantitative and qualitative methods' applications | 50% | 0 | 0 | 1, 2, 3, 6, 7 |
The evaluation will be carried out mainly through the design of a social research project. This will demonstrate the student's ability to transfer the knowledge acquired to the formulation of a research proposal that combines qualitative and quantitative methodologies. It is recommended that the assignment focuses on the subject of Final Master Thesis so that it serves to begin to consider its research design. The project will be developed throughout the semester and will give rise to the delivery of two deliverables. The first, in which the general approach and research design will be presented, will be worth 40%. The second, which will be delivered after receiving the correction of the first, will design the application of qualitative and quantitative methodologies and will be worth 50% of the grade. The remaining 10% will be assessed based on attendance and participation in classroom exercises and debates.
To appear for the reassessment, you must have suspended the previous assessments.
Core references:
Creswell, John W. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Los Angeles: Sage.
López-Roldán, Pedro; Fachelli, Sandra. (2015). Metodología de la Investigación Social Cuantitativa. Bellaterra (Cerdanyola del Vallès): Dipòsit Digital de Documents, Universitat Autònoma de Barcelona. 1ª edición. Edición digital: http://ddd.uab.cat/record/129382; http://webs.uab.cat/plopez/manual-misc
Quivy, Raymond; Van Campenhoudt, Luc (2005/1988): Manual de investigación en ciencias sociales. México: Limusa.
Verd, Joan Miquel; Lozares, Carlos (2016). Introducción a la investigación cualitativa. Fases, métodos y técnicas. Madrid: Síntesis.
Additional bibliography:
Acocella; Ivana; Cataldi Silvia (2020) Using Focus Groups. Theory, Methodology, Practice. Londres: Sage.
Alasuutari, Pertti; Bickman, Leonard; Brannen, Julia (eds.) (2008). The Sage Handbook of Social Research Methods. Thousand Oaks, California: Sage.
Alvira, Francisco; Serrano, Araceli (2015): "Diseños y estrategias de investigación social". En Manuel García Ferrando, Francisco Alvira, Luis E. Alonso y Modesto Escobar (comps.): El análisis de la realidad social. Métodos y técnicas de investigación. Madrid: Alianza Editorial, pp. 76-109. 4ª edición.
Arroyo, Millán; Sádaba, Igor (2012). Metodología de la investigación social. Técnicas innovadoras y sus aplicaciones. Madrid: Síntesis.
Beaud, Stéphane; Weber, Florence (2003). Guide de l'enquête de terrain. Paris: La Découverte.
Becker, Howard (2013). Trucos Del Oficio. Cómo conducir su investigación en Ciencias Sociales. Buenos Aires- México: Siglo XXI.
Bericat, Eduardo (1998): La integración de los métodos cuantitativo y cualitativo en la investigación social. Barcelona: Ariel.
Blaikie, Norman (2009): Designing social research. The logic of anticipation. Cambridge, Reino Unido: Polity Press. 2ª edición.
Blasco, J. (2009). Com iniciar una avaluació: oportunitat, viabilitat i preguntes d'avaluació. Ivàlua https://ivalua.cat/es/recursos/guies-practiques# [versión en español en el mismo enlace]
Boréus, Kristina; Bergström, Göran (2017) Analyzing text and discourse. Eight approaches for the social sciences. London: Sage.
Bourdieu, Pierre; Chamboredon, Jean-Claude; Passeron, Jean-Claude (1976/1973): El oficio de sociólogo. Presupuestos epistemológicos. Madrid: Siglo XXI.
Bryman, Alan (1988): Quality and Quantity in Social Research. Londres: Unwin-Hyman.
Bryman, Alan (2012): Social research methods. Oxford: Oxford University Press. 4ª edición.
Cea d'Ancona, María Ángeles. (2012). Fundamentos y aplicaciones en metodología cuantitativa. Madrid: Síntesis.
Cicourel, Aaron (2011/1964): Método y medida en sociología. Madrid: Centro de Investigaciones sociológicas.
Concha R., Victor; Barriga, Omar A.; Henríquez A., Guillermo. (2011). Los conceptos de validez en la investigación social y su abordaje pedagógico. Revista Latinoamericana de Metodología de las Ciencias Sociales, 1, 2, 91-111. http://www.relmecs.fahce.unlp.edu.ar/article/view/v01n02a05/117
Corbetta, Piergiorgio (2007). Metodología y técnicas de investigación social. Madrid: McGraw Hill. 2ª edición
Creamer, Elizabeth G. (2018). An Introduction to Fully Integrated Mixed Methods Research. Londres: Sage
Creswell, John W.; Poth, Cheryl N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Thousand Oaks, California: Sage. 4ª edición.
Creswell, John W. (2014): Research design. Qualitative, quantitative and mixed methods approaches. Thousand Oaks, California: Sage. 4ª edición.
Denscombe, Martyn (2007): The good research guide for small-scale social research projects. Maidenhead: Open University Press. 3ª edición.
De Vaus, David (2001). Research Design in Social Research. London: Sage
Domínguez, Màrius; Simó, Montserrat (2003). Tècniques d'Investigació Social Quantitatives. Edicions de la Universitat de Barcelona. Col·lecció Metodologia, 13.
Field, Andy (2013). Discovering statistics using IBM SPSS statistics. London: Sage.
Flick, Uwe (2009): An Introduction to Qualitative Research. Londres: Sage. 4ª edición
García Ferrando, Manuel; Alvira, Francisco Ricardo; Alonso, Luis Enrique; Escobar, Modesto (Coord.) (2015). El análisis de la realidad social, Madrid: Alianza.
Goldthorpe, John (2017). La sociología como ciencia de la población. Madrid: Alianza.
Hernández Sampieri, Roberto; Fernández-Collado, Carlos; Baptista Lucio, Pilar (2006). Metodología dela investigación. Ciudad de México: McGraw-Hill.
Ibáñez, Jesús (2015/1986): "Perspectivas de la investigación social: el diseño en las tres perspectivas". En Manuel García Ferrando, Francisco Alvira, Luis E. Alonso y Modesto Escobar (comps.): El análisis de la realidad social. Métodos y técnicas de investigación. Madrid: Alianza Editorial, pp. 42-75.
Ivàlua (2009). Guía práctica 1 - Cómo iniciar una evaluación: oportunidad, viabilidad y preguntas de evaluación. Colección Ivàlua de guías prácticas sobre evaluación de políticas públicas. Barcelona: Ivàlua
Kahwati, Leila; Kane, Heather (2018). Qualitative Comparative Analysis in Mixed Methods Research and Evaluation. Londres: Sage.
King, Gary; Keohane, Robert O.; Verba, Sidney (1994) Designing Social Inquiry. Scientific Inference in Qualitative Reseaarch. Princeton, New Jersey: Princeton University Press.
Kvale, Steinar (2007) Doing interviews. Londres: Sage.
Lareau, Annette. (1996). “Common Problems in Fieldwork: A Personal Essay”. In Lareau, Annette. & Shultz, Jeffrey. Journey through Ethnography. Realistic accounts of fieldwork. Boulder: Westview Press.
López-Roldán, Pedro; Fachelli, Sandra (2015). Metodología de la Investigación Social Cuantitativa. Bellaterra (Cerdanyola del Vallès): Dipòsit Digital de Documents, Universitat Autònoma de Barcelona. 1a. edición. http://ddd.uab.cat/record/129382 http://pagines.uab.cat/plopez/content/misc
Marradi, Alberto; Archenti, Nélida; Piovani, Juan Ignacio (2018) Manual de metodología de las Ciencias Sociales. Buenos Aires: Siglo XXI Editora Iberoamericana
Maxwell, Joseph A. (2012) Qualitative Research Design: An Interactive Approach. Thousand Oaks, California: Sage. 3ª edición
Quiñones, Mariela; Supervielle, Marcos; Acosta, María Julia (2015) Introducción a la sociología cualitativa. Fundamentos epistemológicos y elementos de diseño y de anàlisis. Montevideo: Ediciones universitarias
O'Reilly, Karen. (2009). Key concepts in ethnography. London: Sage.
Ragin, Charles C.; Amoroso, Lisa M. (2011): Constructing social research. Thousand Oaks (Cal.): Pine Forge Press.
Reichertz, Jo (2014): "Induction, deduction, abduction". En Uwe Flick (ed.): The Sage Handbook of qualitative data analysis. Londres: Sage, pp. 123-134.
Salkind, Neil J. (Ed.) (2010). Encyclopedia of Research Design. Thousand Oaks: Sage.
Sautu, Ruth et altri (2005). Manual de metodología. Construcción del marco teórico, formulación de los objetivos y elección de la metodología. Buenos Aires. CLACSO. Disponible en: http://bibliotecavirtual.clacso.org.ar/ar/libros/campus/metodo/metod o.html
Seale, Clive (2012). "Validity, reliability and the quality of research". En Clive Seale (ed.): Researching Society and Culture. Londres: Sage, pp. 528-543. 3ª edición.
Valles, Miguel S. (1997). Técnicas cualitativas de investigación social. Reflexión metodológica y práctica profesional. Madrid: Síntesis.
Vasilachis de Gialdino, Irene (coord.) (2019) Estrategias de investigación cualitativa: Volumen II. Barcelona: Gedisa. Mason, Jennifer (2002): Qualitative Researching. Thousand Oaks, California: Sage. 2ª edició.
Verd, Joan Miquel; López-Roldán, Pedro (2008): "La eficiencia teórica y metodológica de losdiseños multimétodo". Empiria. Revista de Metodología de Ciencias Sociales, 16: 13-42.
Yin, Robert K. (2014): Case study research. Design and methods. Thousand Oaks (Cal.): Sage. 5ª edición
SPSS will be introduced and examples with ATLAS.ti will appear in class.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(TEm) Theory (master) | 1 | Spanish | first semester | afternoon |