Analysis of Quantitative Data (Project Workshop IV)

Academic year
Subject Area
Language of Instruction
Mode of Delivery
ECTS Credits
1st Cycle Studies

Recommended Prerequisites

Basic notions on research methodology and data collection techniques acquired at the following curricular units: Quantitative Research Methods, Statistical Techniques; Sampling and Survey Techniques.

Teaching Methods

This course is taught in practical classes (4 hours per week), combining the presentation of the syllabus topics with the resolution of practical exercises, using SPSS software.

Learning Outcomes

Overall objectives

Help students to understand and use basic statistical techniques to deal with, interpret and present research results based on quantitative techniques for gathering information.

Specific objectives

Prepare students to understand the relationship between the operationalization of sociological concepts and the definition of variables suitable for statistical treatment; help them to understand the statistical concepts and linking them to the analysis of sociological variables; and also to stimulate them to interpret critically the statistical results.

Generic competencies

Operate with SPSS to develop statistical analysis procedures

Specific competencies

Operating with the SPSS statistical program: define and build databases, using the key commands that operate on the databases; using the key commands for statistical treatment; analyzing the results produced by SPSS; drawing reports to present the results and their interpretation.

Work Placement(s)



This course focuses primarily on basic statistical procedures, relating to univariate and bivariate analysis, which allow synthesizing and describing quantitative data sets, advancing in the exploration of differences and associations between pairs of variables, testing their statistical significance, according to the different type of variables.

1. From survey to data-base: identification and classification of variables, coding, definition of a SPSS database, data introduction and quality control data;

2. Univariate analysis: frequencies, descriptive statistics and graphical representations;

3. Bivariate analysis: crossing of variables; difference and association tests; regression.

4. Presenting results and drawing reports

Head Lecturer(s)

Zélia Maria Barroso

Assessment Methods

Continuous Assessment
Midterm exam or: a test resolution: 40.0%
Resolution of 2 practical exercises during de classes + the drawing of the corresponding reports on the analysis and interpretation of results elaboração dos respetivos relatórios de análise e interpretação de resultados fora das aulas: 60.0%

Final Assessment
Frequency: 100.0%


BRYMAN, Alan - Social research methods. 4th ed.. Oxford : Oxford University Press, 2012. [Ed. de 2004: BP 303 BRY]

BRYMAN, Alan ; CRAMER, Duncan - Quantitative data analysis with IBM SPSS 17, 18 & 19 : a guide for social scientists. Hove : Routledge, 2011.

FIELD, Andy - Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll). 3rd ed., reprint.. Los Angeles : Sage Publications, 2009. [BP 519.2 FIE]

HANDBOOK of data analysis. Ed. Melissa Hardy and Alan Bryman. Reprint.. Los Angeles : Sage Publications, 2010. [BP 519.2 HAN]

MARÔCO, João - Análise estatística : com utilização do SPSS. 3ª ed. rev. e aument. Lisboa : Edições Sílabo, 2010. [BP 519.6 MAR]

SIEGEL, Sidney - Estatística não paramétrica para as ciências do comportamento. São Paulo : Editora McGraw-Hill do Brasil, 1975. [BP 519.2 SIE]