Applied Statistics II
Keywords |
Classification |
Keyword |
OFICIAL |
Statistics |
Instance: 2007/2008 - 1S
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
C |
27 |
Oficial Study Plan LC |
2 |
- |
6 |
- |
|
Teaching language
Portuguese
Objectives
This course complements the statistical background initiated with Applied Statistics I. Specifically, we want that students in the end of this course:
1. Be able to conduct a quantitative exploratory analysis of data in order to explain criminal phenomena
2. Dominate the use of statistical techniques in social sciences and specifically in criminology.
3. Be able to explore quantitative associations between studied variables and to identify causality relationships.
4. Be able to work with statistical software packages (specially SPSS software)
Program
1. Review of important concepts studied in previous course “Applied Statistics I”
2. Bivariate analysis
2.a. Relations between two variables
2.b. Testing hypothesis with categorical data
2.c. Testing hypothesis involving two population means or proportions
2.d. Bivariate correlation and regression
2.e. SPSS applied examples
3. Multivariate analysis
3.a. Main concepts
3.b. Multiple regression and partial regression
3.c. Regression analysis with a dichotomous dependent variable: Logit and Probit Models
3.d. SPSS applied examples
4. Data classification statistical instruments
Mandatory literature
Weisburd, David e Chester Britt ; Statistics in Criminal Justice, Springer, 2007. ISBN: 0-387-34112-9
Pestana, Maria Helena, e João Nunes Gageiro ; Análise de Dados para as Ciências Sociais – A Complementaridade do SPSS, Edições Sílabo, 2005
Bachman, Ronet, e Raymond Paternoster; Statistics for Criminology and Criminal Justice, McGraw-Hill, 2004. ISBN: 0-07-251844-8
Complementary Bibliography
Reis, Elizabeth ; Estatística Multivariada Aplicada, Edições Sílabo, 2001
Bachman Ronet;
The^practice of research in criminology and criminal justice. ISBN: 978-1-4129-5032-9
Teaching methods and learning activities
Two types of classes: Theoretical and Laboratorial applied work
Theoretical concepts are presented and explained in theoretical classes. Afterwards, those concepts are applied in laboratorial work, trying to prepare students to be able to make their own research on criminology.
Software
Software de folhas de cálculo (e.g., Excel)
SPSS
keywords
Physical sciences > Mathematics > Statistics
Social sciences > Criminology
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Subject Classes |
Participação presencial |
55,00 |
|
|
Final Exam |
Exame |
2,50 |
|
|
Written applied assignment |
Trabalho escrito |
|
|
|
|
Total: |
- |
0,00 |
|
Eligibility for exams
In order to complete with success the course on Applied Statistics II, students must attend an written final exam (EF) and complete a (practical) written assignment (T), with a final weighted sum of at least ten points.
Calculation formula of final grade
Final classification = 0,75xEF + 0,25xT, where EF e T.
EF and T are classified individually in a range between zero and twenty points.
Examinations or Special Assignments
See previous note.
Special assessment (TE, DA, ...)
According to Main Regulation of the University and of the Criminology course.
Classification improvement
According to Regulations of the University and of the Criminology course.
In order to improve grades in this course, student must repeat a written final exam and/or written assignment.