Research Methods

Code:

MEAC16_7

Acronym:

MI

Keywords
Classification	Keyword
OFICIAL	Statistics
OFICIAL	Health Sciences

Instance: 2019/2020 - 1S (of 09-09-2019 to 09-02-2020)

Active?	Yes
Responsible unit:	Department of Public Health and Forensic Sciences, and Medical Education
Course/CS Responsible:	Academic and Clinical Education

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MEAC	19	Current Studies Plan	1	-	6	54	162

Teaching language

Portuguese

Objectives

This unit aims to respond to the stated objectives of designing a study and understanding and being able to build more complex statistical models through building and discussion of diverse models, in particular by understanding the potentials and limitations of each statistical approach.

Learning outcomes and competences

The course aims to develop an overview and Integrated Research Methodologies in research methodology in academic and clinic teaching:

To know, understand and apply the concepts, methods, applications and topics in statistics in research methodology in academic and clinic teaching.

To develop in the statitical domain the analytical communication and learning skills necessary for professional practice.

To develop critical skills, especially critical reading of literature in research methodology in academic and clinic teaching.

Working method

Presencial

Program

1. Conceptualization of a scientific study


2. Research and bibliographic management


3. Objectives, hypothesis, variables and samples


4. Descriptive Statistics


5. Inferential Statistics


6. Simple Linear Regression and Correlation


7. Multiple Regression


8. Principal Component Analysis


9. Factorial Analysis


10. Cluster Analysis


11. Qualitative analysis: data collection techniques (interviews and observations) and qualitative analytical techniques (analytical content and similar practices)

Mandatory literature

Altman DG. ; Pratical Statistics for Medical Research, Chapman and Hall, 1991
Christensen, R. ; Analysis of variance, design and regression. , Chapman and Hall , 1996
Kline, P.; An Easy Guide to Factor Analysis, , Routledge, 1994

Teaching methods and learning activities

1. Self-direted learning


2. Expository, collaborative and active methodology


3. Applied learning (solving exercises)

A total of 162 hours of student’s work, of which 50 are of contact, distributed as follows is estimated:

10h of weekly theoretical sessions;

34h of weekly theoretical-practical sessions;

6h of seminar sessions.

The evaluation with be done along the semester without final exam

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	40,00
Trabalho escrito	60,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	112,00
Frequência das aulas	50,00
Total:	162,00

Eligibility for exams

Attendance 75%.

Calculation formula of final grade

The evaluation with be done along the semester without final exam through several individual and group works.