Quantitative Data Analysis I

Code:

SOCI001

Acronym:

ADQ1

Keywords
Classification	Keyword
OFICIAL	Sociology

Instance: 2011/2012 - 2S

Active?	Yes
Responsible unit:	Department of Sociology
Course/CS Responsible:	Bachelor in Sociology

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
SOCI	101	SOCI - Study Plan	1	-	7	73	189

Teaching language

Portuguese

Objectives

1) Objectives
The main goal of the course is to introduce students to quantitative analysis and to outline the fundamental concepts and tools of statisctics applied to the social sciences.
The course also provides a first approach to data analysis using SPSS, exploring basic features of the software, such as editing and transforming data and describing unidimensional variables.

2) Learning skills
By the end of the semestre, the student should demonstrate:
- Knowledge of basic techniques of quantitative data analysis applied to sociology;
- Critical and reflexive stand in data analysis.

Program

A – Theoretical foundations

1. Introduction to statistics
1.1. Main concepts and problems
1.2. Data sources
1.3. Descriptive statistics and statistical inference
1.4. Defining variables
1.5. Introduction to data gathering techniques
1.6. Statistical applications in social sciences

2. Exploring unidimensional variables
2.1. Frequency tables
2.2. Graphing data
2.3. Measuring central tendency
2.4. Measuring dispersion
2.5. Measuring concentration
2.6. Assimetry and kurtosis

B – Introduction to SPSS analysis

1. Introduction to the software

2. Creating a data base
2.1. Creating variables
2.2. Transforming variables

3. Exploring unidimensional variables
3.1. Frequency tables and charts
3.2. Descriptive statistics.

Mandatory literature

Bryman, A. e D. Cramer ; Análise de Dados em Ciências Sociais: Introdução às Técnicas Utilizando o SPSS para Windows, Celta Editora, 2003
Healey, J.; Statistics: A Tool for Social Research, McGraw-Hill, 2005
Pestana, M. H. e J. N. Gageiro; Análise de Dados para Ciências Sociais – A Complementaridade do SPSS, Edições Sílabo, 2000

Complementary Bibliography

Ferreira, A. e L. Martines; Análise de Dados com SPSS : Primeiros Passos, Escolar Editora, 2007
Sampaio, E., M. Ramos e M. Barroso ; Exercícios de Estatística Descritiva para as Ciências Sociais, Edições Sílabo, 2003
Pallant, J.; SPSS Survival Manual – A Step by Step Guide to Data Analysis Using SPSS for Windows, Open University Press, 2001
Carrión, J. J. S.; Manual de Análisis Estadístico de los Datos, Alianza Editorial, 1999

Teaching methods and learning activities

Lecture / Lab sessions (TP)
These classes will be carried out either in a normal classroom or in a computer lab. They will incorporate lecturing on selected topics and solving exercises with the use of SPSS.


Tutorial classes (OT)
These classes will be primarily focused in solving exercises.

Software

SPSS 17.0

keywords

Social sciences > Sociology

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	70,00
Exam	Exame	2,00		2012-07-16
Work	Trabalho escrito	47,00		2012-07-16
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Preparation for the exam	Estudo autónomo	70	2012-07-16
	Total:	70,00

Eligibility for exams

Students are required to attend to a minimum of 75% of all classes (lectures, lab sessions and tutorial sessions). Students have also to conclude all the components of assessment with a minimum mark of 8 values.

Calculation formula of final grade

The final mark corresponds to the weighted average of the exam classification (75%) and the classification obtained in the work developed in the tutorial sessions (25%).

Examinations or Special Assignments

Does not apply.

Special assessment (TE, DA, ...)

According to the regulations of the school.

Classification improvement

According to the regulations of the school. The final mark corresponds to the weighted average of the exam classification (75%) and the classification obtained in the work developed in the tutorial sessions (25%).