Applied Statistics II

Code:

C208

Acronym:

EST II

Keywords
Classification	Keyword
OFICIAL	Statistics

Instance: 2016/2017 - 1S (since 19-09-2016 to 16-12-2016)

Active?	Yes
Web Page:	https://moodle.up.pt/
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	50	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.
We intend to give students a good background in statistical analysis, focusing in those procedures that are most applicable in Criminology.

Learning outcomes and competences

Specifically, students in the end of this course must:
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 work with statistical software packages (specially SPSS, JASP, and R software).

Working method

Presencial

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

In spite of not being obligatory, students should had taken classes on Applied Statistics I before.

Program

1) Review of important concepts studied in previous course “Applied Statistics I” 1.A) Data preparation for analysis with software.

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 software 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 SPSS, JASP and R software.

Mandatory literature

Field, Andy; Discovering Statistics Using IBM SPSS Statistics, SAGE, 2013. ISBN: 9781446249185
Marôco João; Análise estatística com o SPSS Statistics. ISBN: 978-989-96763-2-9
Weisburd David; Statistics in criminal justice. ISBN: 978-0-387-34112-5
Bachman Ronet; Statistical for criminology and criminal justice. ISBN: 978-0-07-312924-2

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, JASP and R).

Software

R
JASP
IBM SPSS Statistics (v.23 ou v.24)

keywords

Physical sciences > Mathematics > Statistics
Social sciences > Criminology

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	65,00
Trabalho de campo	35,00
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 a (practical) written assignment (T), with a final weighted sum of at least ten points. The grades in each component (final exam and written assignment) must be no llower than 8 values (8/20).

Calculation formula of final grade

Final classification = 0,65xEF + 0,35xT, 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.

Observations

In case of omissions, see the Main Regulation.