Data Analisys - Quantitative methods
The goal of the Quantitative Methods Curricular Unit is to capacitate students with the mastery of the necessary competencies to the preparation, collection and analysis of data in a quantitative research strategy.
At the end of this Curricular Unit, students should be able to:
1) Recognize the issue of the quantitative research in social sciences and in education
2) Explain the general principles and main sampling techniques
3) Critically evaluate sampling procedures used in real examples
4) Conceive a questionnaire survey
5) Define the basic statistic notions associated with quantitative research
6) Interpret univariate and bivariate analysis of quantitative data
7) Perform univariate and bivariate analysis of quantitative data through SPSS software
8) Present in a rigorous way the analysis results and their interpretation
Susana Paiva Moreira Batista
Weekly - 3
Total - 280
Abbott, M.(2011). Understanding Educational Statistics Using Microsoft Excel and SPSS. Wiley: New Jersey.
Arber, S.(2001) Designing samples.Iin N. Gilbert (org.), Researching Social Life (58-82), London, Sage.
Bryman, A.(2012). Social Research Methods. Oxford: Oxford University Press.
Field, A.(2009). Discovering statistics using SPSS, London, Sage.
Foddy, W.(1996). Como perguntar-teoria e prática da construção de perguntas em entrevistas e questionários, Oeiras, Celta Editora
Ghiglione, R; Benjamin, M.(2005), O Inquérito. Teoria e prática, Oeiras, Celta Editora.
Kothari, C.R.(2004), Research Methodology. Methods and Tecnhiques. New Delhi: New Age International Publishers
Marôco, J.(2011).Análise Estatística com o SPSS Statistics. Pero Pinheiro, ReportNumber.
Quivy, R; Campenhoudt, L(2005), Manual de Investigação em Ciências Sociais, Lisboa, Gradiva.
Reis, E. (1991). Estatística Descritiva. Lisboa, Sílabo.
Silvestre, A. (2007). Análise de dados e estatística descritiva.Lisboa, Escola
We will privilege demonstrative and active methods, using exposition and interrogation to the clarification of theoretical notions. Demonstrative methods are based on the illustration of ways of doing, namely in the design of sampling procedures, the elaboration of questionnaire surveys and univariate and bivariate analysis of quantitative data, in particular when using SPSS software. Active methods lie in students' participation in the realization of exercises proposed in class and in the application of the obtained knowledge.
1. QUANTITATIVE RESEARCH STRATEGY
1. Role of theory, epistemological and ontological orientations
2. Concepts operationalization
2. SAMPLING PROCEDURES
1. Population and sample
2. Probabilistic procedures
3. Non probabilistic procedures
4. Sampling plans
3. THE QUESTIONNAIRE SURVEY
1. Types of questionnaires, modes and situations of collection
2. Main principles in the organization of a questionnaire
3. Types of questions
4. Response modalities, pre-coding and filters
5. Other ways to construct quantitative data
4. QUANTITATIVE DATA ANALYSIS
1. Basic notions of statistic and variables classification
2. Descriptive univariate analysis
3. Bivariate analysis
4. Inference, estimation and causality
5. AUTOMATED DATA TREATMENT: INTRODUCTION TO SPSS
1. Introduction to the software
2. File preparation
3. Data transformation
4. Commands for univariate descriptive statistics and bivariate analysis
5. Tables and graphs
Programs where the course is taught: