Computer Assisted Qualitative Data Analysis with MAXQDA

Computer Assisted Qualitative Data Analysis with MAXQDA

Local: 
Classroom 3
Date: 
Concluída
Horário: 
09:30 - 12:30
14:00 - 16:30
Idioma: 
Portuguese, with possibility of using English
Credits: 
3 ECTS

 

Goals

The main goal of this course is to provide qualitative computer-assisted data analysis training in order to ensure the grasp of the main tools and resources currently available, as well as the main trends in this area.

A strong and diverse conceptual and epistemological component will be combined with practical and operational training, which will enable participants to grasp the existing options and thereby properly target their work. Particular emphasis will be placed on content analysis as a methodological approach, capable of dialoguing with a microinformatic tool supporting the process of research and data analysis.

In this course, there will be room to practice with the most common types or sources of data, including interviews, focus groups, images, tabulated data, legal diplomas, press releases, internet pages, bibliographic references, audio or video. Assisted practice activities will be combined with a broad set of support materials, including the availability of tutorials for future reference.

Intended for

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.

Bibliography

Bardin, Laurence (2014). Análise de Conteúdo. Coimbra: Edições 70.

Bernard, Harvey Russel; Ryan, Gery Wayne (2010). Analyzing Qualitative Data: Systematic Approaches. London: SAGE Publications.

Fielding, Nigel; Lee, Raymond (1998), Computer Analysis and Qualitative Research. London: SAGE Publications.

Gibbs, Graham R. (2007), Analyzing Qualitative Data. London: SAGE Publications. Krippendorff, Kimberly (2004). Content analysis: an introduction to its methodology. Thousand Oaks: SAGE Publications.

Kuckartz, U. (2014). Qualitative Text Analysis: A Guide to Methods, Practice & Using Software. London: SAGE Publications.

Lewins, Ann; Silver, Christina (2014), Using Software in Qualitative Research: A Step-by-Step Guide. London: SAGE Publications.

Michael Huberman & Matthew B. Miles (Eds.) (2002). The Qualitative Researcher's Companion. Thousand Oaks: SAGE Publications.

Neuendorf, K. A. (2002). The Content Analysis Guidebook. London: SAGE Publications.

 

Francisco Freitas (MAXQDA Professional Trainer) [http://www.maxqda.com/workshoptrainer/francisco-freitas]

Programme

Day 1

09.30-12.30: Epistemological and conceptual aspects of research using qualitative data

Activities / Contents

- Epistemology of qualitative data analysis;

-Objectives and fields of application;

- Stages of qualitative data analysis;

-Procedures of content analysis

-Construction of analysis grids;

- Implications and peculiarities of the use of QDA's / Softwares in the analysis of qualitative data

13h30-16h30h: Introduction to MAXQDA and project file management

Activities / Contents

- Collection of data with MAXApp (i.e. collection of text, image, audio and / or video);

- Auxiliary applications for data management and manipulation;

- Interface, internal organization and information management in MAXQDA;

-Creating and managing project files;

-Creating new documents;

-Transcription of audio and / or video in MAXQDA;

-Preparation and import of documents;

-Importing pre-processed documents (eg discussion groups or questionnaires);

-Importance of bibliographic data;

-Capture and import of Internet pages;

-Receive data on Twitter.

Day 2

09h30-12h30: Data preparation, analysis and categorization

Activities / Contents

-Categorization and coding through analysis grid;

-Using color in categorizing data and Emoticodes;

-Favorite setting

-Coding by paraphrasing information

- Annotation tools and annotation management;

-Link of documents;

-Work in team with MAXQDA;

-Referencing of data in MAXQDA;

-Definition of variables, import and export.

13h30-16h30h: Search, consult and definition of analysis criteria

Activities / Contents

- Search and retrieval of information;

- Simple and extended / complex lexical searches;

-Activation by variable and activation by color;

-Transformation of codes into variables;

-Autocodification of data and results;

-Export and import data;

-Comparison of groups;

- Analysis grids and grids;

-Graphics, statistics, quantitative information processing;

-Automation of information.

Day 3

09h30-12h30: Report of findings and conclusions

Activities / Contents

-Extraction of tabulated information;

-Extraction of code book;

- Visual tools;

-Exporting results;

- Predefined result tables;

-Participation and printing of contents;

-Summary;

-Reporting.
 

Requirements

To attend the course, the candidate must be at least 18 years of age and fit into the defined target audience. In case of overbooking, candidates will be given preference who are preparing theses or dissertations that involve research projects related to the proposed topics. A good grasp of the English language is recommended for mastery of the bibliography.

Applications

Tuition: € 200

Fee (upon registration): 30 €

ICS Community: 50% off on Tuition

The fee paid upon registration is non-refundable.

The school will only be held if the necessary quorum is reached.

Coordenador