Applied Statistics I

Code:

C108

Acronym:

ESTA I

Keywords
Classification	Keyword
OFICIAL	Statistics

Instance: 2016/2017 - 2S (since 13-02-2017 to 26-05-2017)

Active?	Yes
Web Page:	https://moodle.up.pt/user/view.php?id=123&course=3516
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	67	Oficial Study Plan LC	1	-	6	-

Teaching language

Suitable for English-speaking students

Objectives

This course intends to give students a very good background in statistical methods in order to support research on criminology.

Learning outcomes and competences

With this course, we aim that students be able to: 1) To localize statistical analysis in the process of scientific research; 2) To recognize which specific statistical measure or procedure should be applied to specific problems of research in Criminology; 3) To apply basic concepts of descriptive and inferential statistics; 4) To work with statistical software packages (especially IBM SPSS Statistics and R).

 

Working method

Presencial

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

N.a.

Program

I. Statistics applied to Criminology

1) Statistical applied methods  in Criminology and Justice

2) Research validity

3) Data analysis preliminaries

4) Graphs: benefits and limitations
5) Software for Statistics: SPSS, JASP and R

 

II. Descriptive Statistics

1) Introduction

2) Central tendency measures

3) Measures of Dispersion and boxplot

4) Practical examples with software

 

III. Probability Theory

1) Introduction

2) Probability theory

3) Discrete Distributions

4) Continuous Distributions
5) Practical examples with software

 

IV. Data Screening

V. Inferencial Analysis

1) Introduction

2) Point Estimation and Confidence Intervals

3) Hypothesis tests

4) Practical examples with software

 

VI. Relations between variables

1) Introduction

2) Quantitative variables and correlations

3) Categorical variables and association measures

4) Practical examples with software

Mandatory literature

Field, Andy; Discovering Statistics Using IBM SPSS Statistics, SAGE, 2013. ISBN: 9781446249185 (A very good manual for learning applied statistics)
Marôco, João; Análise estatística com o PASW Statistics (ex-SPSS). ISBN: 9789899676305
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

Hagan Frank E.; Research methods in criminal justice and criminology. ISBN: 0-205-44739-2
Howell, david; statistical methods for psychology. ISBN: 0495012874
Reis Elisabeth 1957-; Estatística multivariada aplicada. ISBN: 972-618-247-6
Pestana Maria Helena 1958-; Análise de dados para ciências sociais. ISBN: 972-618-391-X

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 quantitative research on criminology, performing adequate statistical with analysis software.

Course with study documents available at University of Porto Moodle B-Learning system, allowing higher interaction with students.

Software

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

keywords

Social sciences > Criminology
Physical sciences > Mathematics > Statistics

Evaluation Type

Evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	100,00
Total:	100,00

Eligibility for exams

Cf. General Regulation.

Calculation formula of final grade

The final grade is equal to the exam's grade.

Examinations or Special Assignments

Cf. General Regulation

Internship work/project

n.a.

Special assessment (TE, DA, ...)

Cf. General Regulation

Classification improvement

Cf. General Regulation

Observations

All important information related to this course absent of this webpage, are available at the Moodle webpage.