![]() ![]() The confidentiality of all job offers is guaranteed. Advice and testing of specific features adjusted to the job in question Projects must be carried out using the empirical material of each participant Individualized support for the implementation of research projects will be provided Each student must submit a work proposal (i.e., research project) The service will be done by registration and managed through the Moodle platform Organization of participants into groups according to interests or research methodologies in use For personal project sessions (tutoring) - (in the afternoon, by appointment) Visual tools: implementation and testing Graphics, statistics, quantitative information processing Day 5 | 10 am-1pm: Transformation of codes into variables Activation by variable and activation by color Simple lexical searches and extended / complex searches Search, consult and define analysis criteria Definition of variables, import and export. Annotation tools and annotation management Use of colors in the categorization of data and Emoticodes Categorying and coding through analysis grid Day 3 | 10 am-1pm:ĭata preparation, analysis and categorization Collection of Social Network data: Twitter and YouTube Importation of pre-processed documents (e.g. Transcription of audio and / or video in MAXQDA Creation of new documents and data insertion Creation and management of project files Interface, internal organization and information management in MAXQDA collection of text, image, audio and / or video) Introduction to MAXQDA and project file management Tools for management and manipulation of qualitative data. Implications and particularities of using applications in the analysis of qualitative data Epistemology of qualitative data analysis London: SAGE Publications.Įpistemological and conceptual aspects of research using qualitative data, supporting resources Lewins, Ann Silver, Christina (2014), Using Software in Qualitative Research: A Step-by-Step Guide. Analyzing qualitative data with MAXQDA: Text, audio, and video. Qualitative Text Analysis: A Guide to Methods, Practice & Using Software. Content analysis: an introduction to its methodology. London: SAGE Publications.įielding, Nigel Lee, Raymond (1998), Computer Analysis and Qualitative Research. Analyzing Qualitative Data: Systematic Approaches. Coimbra: Edições 70.īernard, Harvey Russel Ryan, Gery Wayne (2010). The course is aimed at high education students, teachers, researchers, senior managers, specialists in different areas (eg marketing, market research, human resources, opinion polls, etc.), who wish to obtain knowledge in terms of scientific research methodology in the analysis of qualitative data and that use it or intend to use applications for the analysis of qualitative data of different typology. The course is not subject to summative assessment. Obtaining ECTS is subject to the presentation of a final paper. Participants are guaranteed assistance in carrying out the proposed tasks. Such a project will be discussed during the afternoon sessions. Participants will be given the possibility to carry out a small qualitative data analysis project according to their research or professional interests. Teaching will be accompanied by materials duly adjusted to this format. The course will have 15 hours of contact, synchronous regime through videoconference platform. In this elearning modality, the Moodle platform will be used to manage training content. Assisted practice activities will be combined with a wide range of support materials, including the provision of detailed tutorials for future reference. In this course, there will be oportunity to carry out operations with the most common types or sources of data, including interviews, focus groups, images, tabulated data, legal diplomas, press collections, bibliographic references, audio or video files, or data from new sources of digital data, such as internet pages or social networks. Particular emphasis will be given to content analysis as a methodological approach capable of dialoguing with a microinformatics tool to support the research and data analysis process. A strong and diversified conceptual and epistemological component, will be combined with practical and operational training, which will allow participants to grasp the existing options and thus correctly direct their work. The main objective of this course is to provide training in qualitative data analysis assisted by computer that guarantees a knowledge of the main tools and resources currently available, as well as the main trends in this area. ![]()
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