Start | Personen | Google | Route | Contact | AfdrukkenLogin 
Course details 2010-2011  
    

Introduction Research and Statistics: data analysis
 
Academic year:2010-2011
Course code moduleSP-VPLVR014
Semester:2nd semester
Credits:7
Study load (hours)196
Theory (hours):12,00
Practice/Exercises(hours):28,00
Other (hours):2,00
Part-time program:2
Instructor(s)Monique Elseviers
Etienne I J J Vermeire
Bart Van Rompaey
Language of instruction:Dutch
Semester exam information:exam in the 2nd semester
Contract restriction information:faculty decision



1. Prerequisites
*Algemene competenties

The student has bachelor degree in nursing or midwifery, or acquired an equal certificate.

Other candidates have to request permission to be admitted at the educational committee. This request is based on acquired competences or certificates.

 

Basic computer skills:

- basic use of Microsoft Word, Excell

- standard use of e-mail with attachments

- standard use of internet

- knowledge of English (reading and understanding)

 

The initial situation of the students is exceptional: a large knowledge and experience of the professional practice and knowledge from the bachelor education. A large number of students did not receive specific scientific or statistical training.. Most of the students had a limited education on mathematics in college.

Scientific research will be considered as a difficult study direction. The domain is often not linked to the daimy practice, except for a candidate with specific experience in research projects. 
Scientific research may not be an education area causing competent students to quit the education early.

Therefore the education is build up gradually. First the interest and motivation will stimulated by starting from simply

*Sequentiality
None

Previous course


2. Objectives (expected learning outcomes)

The master as researcher has general scientific competences. Therefore, the student will be assessed in the master year by conductiong a small scale research: the master test. The acquired knowledge, skills and attitudes from the bridging programme are the fundamentals to develop a research design. This design is one of the assessments of the second semester and the finalisation of the bridging programme.

 

The master candidate has acquire following competences:

- to apply general research methods and techniques

- to have knowledge on statistical and IT-instruments for obtaining, arranging and evaluating data

- to consult and interpret scientific literature on health care and to be able to report about it

- be able to perform small scale, applied scientific research in the nursing and midwifery care

 

Tasks:

- collecting data in order to answer a research question

- consulting important scientific information to resolve problems in a multi professional context (professional orientation)

- evaluate and discuss scientific information critically

 

The student has the knowledge of statistically and IT-tools for collecting and evaluating data in health care. Therefore, the scientific literature on health care must be consulted and the student is able to report on it. Different techniques for analysis can be applied on and derived from offered literature. The student is able to use, to recognise and to appreciate statistical methods through integration of the offered course content (assessment).

tasks with general logical or experience based solutions.




3. Course content

Regression analysis and correlations

Risk calculation and multi variance-analysis

Survival analysis

Non parametrical statistics

Evidence based working: peer review, meta analysis, guidelines

Introduction qualitative research

Working out of a research protocol




4. Teaching method
Direct contact:
  • Lectures
  • Exercise sessions
  • Skills training

  • Personal work:
  • Exercises
  • Assignments - individual
  • Assignments - in group


  • 5. Assessment method
    Exam:
  • Oral, with written preparation
  • Open book


  • 6. Compulsory reading – study material

    David Moore, George McCabe Statistiek in de praktijk, 5e herziene druk, Academic Service, Sdu uitgevers Den Haag, 2006

    Eelko HHuizingh, Inleiding SPSS 14.0 voor Windows en Data Entry, Academic Service, Sdu uitgevers Den Haag, 2006

    cd-rom SPSS 14.0

    Eelko Huizingh, ‘Inleiding SPSS 14.0 voor Windows en Data Entry’, Academic Service, Sdu uitgevers Den Haag, 2006 (attention: most recent version is examined)

    Howitt Dennis, Cramer Duncan, ‘Statistiek in de sociale wetenschappen’, Pearson Education Benelux, Amsterdam 2007 ISBN 978-90-430-1281-2

    cd-rom SPSS 16.0

    cd-rom reference manager

    (allis available at the UA course shop)




    7. Recommended reading - study material

    David Moore, George McCabe ‘Statistiek in de praktijk’, 5th reviewed edition, Academic Service, Sdu uitgevers Den Haag, 2006




    8. Tutoring

    Standard PC skills and general knowledge of English or advised. ‘Centrum West’ of the UA offers courses to obtain the necessary skills before entering the program. Please refer to the specific webpage for information.




    laatste aanpassing: last update: 15/01/2009 10:52 sumitra.baete 



     
    Inhoudsverantwoordelijke(n) : Facultaire administratie