Applied Statistics II

Code:

C208

Acronym:

EST II

Keywords
Classification	Keyword
OFICIAL	Statistics

Instance: 2013/2014 - 1S (since 09-09-2013 to 20-12-2013)

Active?	Yes
Web Page:	https://sigarra.up.pt/fdup/disciplinas_geral.formview?p_ano_lectivo=2010/2011&p_cad_codigo=C208&p_periodo=1S
Course/CS Responsible:	Criminology

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
C	85	Oficial Study Plan LC	2	-	6	-

Teaching language

Suitable for English-speaking students

Objectives

This course complements the statistical background initiated with Applied Statistics I.

Learning outcomes and competences

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).

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

n.a.

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).

6) Statiscal applications with R software.

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 (especially IBM SPSS Statistics and R).

Software

R
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

Designation	Weight (%)
Exame	60,00
Trabalho de campo	40,00
Total:	100,00

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

The written assignment classified with a minimum grade of 8/20 is necessary for approval in this curricular unit.

Special assessment (TE, DA, ...)

According to Main Regulation of the Criminology course and of the University of Porto.

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.

Observations

In case of omissions, see the Main Regulation.