Quantitative and Qualitative Data Analysis

N/A

Classes assume a dynamic character, characteristic of laboratory practice, and aim to combine the presentation of concepts/information with practical exercises in database construction and data analysis using the SPSS software; and the combination of presentation of concepts/information related to the qualitative approach, with practical exercises for the preparation and analysis of qualitative data using the computer.
The evaluation is continuous and derives from carrying out an individual work of construction and analysis of an SPSS database and report (50.0%); carrying out an individual job of content analysis of qualitative data (50.0%).
Assessment by Exam consists of carrying out a practical test consisting of a component of qualitative data analysis (50%) and another component of quantitative data analysis (50%).

At the end of this UC, students should be able to:
1. Process and quantitatively analyze the data, using specific software (SPSS):
– Master the techniques of building a database in SPSS;
– Master basic knowledge of descriptive and inferential statistics;
– Make statistical decisions based on the statistical decision tree;
– Choose and apply different statistical techniques using the software.
2. Process and qualitatively analyze data, using the computer:
– Know the assumptions and procedures of content analysis.
– Master the process, techniques, and main tools for collecting and preparing qualitative data.
– Categorize, group, relate, and question qualitative data.
3. Interpret the information collected and communicate research results.

1. Analysis of quantitative data:
1.1. Construction of a database in SPSS.
1.2. Analysis of missing values and replacement methods; inversion of negative items.
1.3. Calculation of latent variables.
1.4. Descriptive analysis of variables.
1.5. Statistical inference.
1.6. Statistical decision.
1.7. Univariate hypothesis tests.
1.8. Parametric and non-parametric tests.
1.9. The presentation and writing of the results.
2. Qualitative approach in the investigation process:
2.1. Epistemological assumptions.
2.2. Process and techniques for collecting and preparing qualitative data.
2.3. Main tools for qualitative analysis
2.4. Qualitative data analysis with computational support.
2.5. Practical exercises.

• - Individual work - SPSS database contruction - 50.0%
• - Individual Work - Qualitative Data Analysis - 50.0%

• - Quantitatative Data Analysis Component - 50.0%
• - Qualitative Data Analysis Component - 50.0%

NAO

Bardin, L. (2009). Análise de conteúdo. Lisboa: Edições 70.
Gibbs, G. R. (2007). Analyzing Qualitative Data. London: SAGE Publications.
Laureano, R. (2011). Testes de hipótese com o SPSS: o meu manual de consulta rápida. Edições Sílabo.
Maroco, J. (2021). Análise Estatística com o SPSS Statistics. ReportNumber.
Minayo, S., Costa, Mª C. & Pedro, A. (2018). Fundamentos Teóricos das Técnicas de Investigação Qualitativa, Revista Lusófona de Educação, nº 40, pp. 10-20.
Pestana, M., & Gageiro, J. (2014). A complementaridade do SPSS. Edições Sílabo
Silver, C., & Lewins, A. (2014). Software summaries. In Using Software in Qualitative Research: A Step-by-Step Guide (pp. 61–78). London: SAGE Publications.
Strauss, A., & Corbin, J. (2009). Pesquisa qualitativa: Técnicas e procedimentos para o desenvolvimento de teoria fundamentada. Porto Alegre: Artmed.