Computer Assisted Tools for the Social Sciences - 1st semester
Objectives
1. Knowledge and understanding of the operating logic of computer applications of research support in Sociology, particularly in data gathering, mathematical and statistical calculations, and graphical data processing. 2. Ability to select and to use the appropriate applications to the different research and professional tasks. 3. Understanding of their relations with the theoretical measurement and statistical techniques of data analysis. 4. Acquisition of specific skills in operationalizing the computational techniques. 5. Skills of development processes for self-training and lifelong learning regarding advanced computer processing of statistical operations.
General characterization
Code
711081077
Credits
6
Responsible teacher
Ana Lúcia Teixeira, Ana Nestal Roque, Sara Dalila Cerejo
Hours
Weekly - 4
Total - Available soon
Teaching language
Portuguese with teacher supervision in FL
Prerequisites
Students must have accomplished a minimum of 48 ECTS credits and have basic computer knowledge. We recommend that students previous attend to Métodos e Técnicas de Investigação Sociológica: Amostragem e Inquérito e Análise de Dados Univariada e Bivariada, or similar.
Bibliography
Botelho, M.C., & Laureano, R. (2010). SPSS: o meu manual de consulta rápida. Sílabo. Bryman, A., & Cramer, D. (1992). Análise de dados em ciências sociais. Celta. Foddy, W. (1996). Como perguntar: teoria e prática da construção de perguntas em entrevistas e questionários. Celta. Ghiglione, R., & Matalon, B. (2001). O inquérito: teoria e prática. Celta. Laureano, R. (2011). Testes de hipóteses com o SPSS: o meu manual de consulta rápida. Sílabo. Marôco, J. (2010). Análise estatística com o PASW Statistics. Report Number. Pestana, M., & Gageiro, J. (2003). Análise de dados para as ciências sociais: a complementaridade do SPSS. Sílabo. Reis, E. (2000). Estatística descritiva. Sílabo.
Teaching method
TEACHING METHODOLOGY: - Lectures with theoretical content along with practical examples using real datasets; - At the end of each session, a practical exercise is carried by the students, on the subjects discussed in the current and prior sessions. The exercises are revised in class, always allowing time to clarify questions the students may have.
Evaluation method
EVALUATION CRITERIA: Two examination tests (50% each), one taking place in the middle and one at the end of the semester.
Subject matter
1. Data analysis software as an instrument to support research in Social Sciences: scope and basic concepts 2. Constructing and manipulating databases in SPSS 3. Recoding and data transformation operations 4. Univariate statistical operations, graphical representation and results presentation 5. Bivariate statistical operations, hypothesis tests, association measures and correlation coefficients 6. Multivariate statistical analysis