Applied Statistics II
Keywords |
Classification |
Keyword |
OFICIAL |
Statistics |
Instance: 2012/2013 - 1S
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
C |
82 |
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”
1.A) Data preparation for analysis with SPSS
2) Relationship between variables
2.1. Two categorical variables and two quantitative variables, and SPSS applications.
2.2. Two different type variables, and SPSS applications.
2.3. Simple linear regression models and SPSS applications.
2.4. Multiple regression models and SPSS applications
3) Diferences between two groups
3.1. Independent groups (samples)
3.2. Dependent (matched) groups (samples)
4) Diferences between more than two groups
4.1. Independent groups (samples)
4.2. Dependent groups (samples)
5) Applied Statistics II complements
5.1. Logistic regression
5.2. Principal Component Analysis
5.3. Factorial Analysis
(SPSS applications in each chapter)
Mandatory literature
Bachman Ronet;
Statistical for criminology and criminal justice. ISBN: 978-0-07-312924-2
Weisburd David;
Statistics in criminal justice. ISBN: 978-0-387-34112-5
Marôco João;
Análise estatística com o SPSS Statistics. ISBN: 978-989-96763-2-9
Complementary Bibliography
Bachman Ronet;
The^practice of research in criminology and criminal justice. ISBN: 978-1-4129-5032-9
Bushway Shawn 340;
Quantitative methods in criminology. ISBN: 0-7546-2446-3
Pestana Maria Helena;
Análise de dados para ciências sociais. ISBN: 972-618-297-2
Howell, david;
statistical methods for psychology. ISBN: 0495012874
Teaching methods and learning activities
Two types of classes: Theoretical and Laboratory applied work
Theoretical concepts are presented and explained in theoretical classes. Afterwards, those concepts are applied in laboratory work, trying to prepare students to be able to make their own research on criminology.
Software
IBM SPSS v. 20
Software de folhas de cálculo (e.g., Excel)
keywords
Physical sciences > Mathematics > Statistics
Social sciences > Criminology
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Attendance (estimated) |
Participação presencial |
65,00 |
|
|
|
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 an (practical) written assignment (T), with a final weighted sum of at least ten points.
Calculation formula of final grade
Final classification = 0,60xEF + 0,40xT, 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.