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Course module: 201700039
201700039
Methodological and Statistical Aspects of Social Science Research
Course infoSchedule
Course code201700039
ECTS Credits5
Category / LevelM (Master)
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Social Sciences; Graduate School Sociale Wetenschappen; Youth Studies;
Contact persondr. M. Moerbeek
Telephone+31 30 2531450
E-mailM.Moerbeek@uu.nl
Lecturers
Lecturer
dr. M. Moerbeek
Feedback and availability
Other courses by this lecturer
Contactperson for the course
dr. M. Moerbeek
Other courses by this lecturer
Teaching period
2  (12/11/2018 to 01/02/2019)
Teaching period in which the course begins
2
Time slot-: Not in use
Study mode
Full-time
Enrolling through OSIRISNo
Enrolment open to students taking subsidiary coursesNo
Pre-enrolmentNo
Waiting listNo
Aims
Once they have completed the course, students will be able to use methodological and statistical skills while analysing and reporting on research into analysing risk factors. They will be familiar with various models for causal relations and be able to use SPSS to analyse complex statistical models, such as models including mediation, moderation or confounding.

Toetsvormen en inhoud toetsen
The final test is an SPSS test in which it will be tested to what extent students are able to select appropriate statistical models to analyze the data to answer specific research questions. Students should report and interpret the SPSS output to be able to answer the research questions.
Content
Applied research is aimed at studying societal issues and possible solutions to societal problems. An important first step is analysing risk factors for the occurrence and development of societal problems. This should take into account the possible influence of background variables which can act as confounder, mediator or moderator.
The course starts with factor and reliability analysis. Subsequent weeks focus on linear and logistical regression models and analysis of variance and covariance. The focus of the final weeks is on mediation, moderation and confounding.
 
 Academical skills
•        Intellectual skills
•        Studying and analysing information
•        Mastering the methods and techniques of observational and interventional research

Note: We assume that you'll have a laptop with you during this course. For more information about Bring Your Own Device (BYOD), see https://students.uu.nl/en/fss/byod
Competencies
-
Entry requirements
You must meet the following requirements
  • Enrolled for a degree programme of faculty Faculty of Social Sciences
  • Enrolled for one of the following degree programmes
    • Applied Cognitive Psychology
    • Child and Adolescent Psychology
    • Clinical and Health Psychology
    • Clinical Child and Adolescent Psychology
    • Clinical Child, Family and Education Studies
    • Clinical Psychology
    • Cultural Anthropology: Sustainable Citizenship
    • Education, Socialization and Youth Policies
    • Educational Design and Consultancy
    • Educational Sciences
    • Multiculturalism in comparative perspective
    • Neuropsychology
    • Orthopedagogy
    • Policy Analyses and Organisations
    • Social and organisational psychology
    • Social Policy and Public Health
    • Social Policy and Social Interventions
    • Social Psychology
    • Social, Health and Organisational Psychology
    • Sociology: Contemporary Social Problems
    • Work and Organizational Psychology
    • Youth Studies
    • Youth Studies
    • Youth, Education and Society
Required materials
Book
Field, A. (2017). Discovering statistics using IBM SPSS Statistics (5th edition). London: Sage Publications. ISBN: 9781526419521
Recommended materials
Laptop
-
Instructional formats
Computer practical

Class session preparation
The statistical analysis technique should be studied prior to each computer practical. The analyses from Field's book and the previous lecture should also be reproduced

Contribution to group work
Active participation in computer practicals.

Lecture

Class session preparation
The literature from the week in question should be studied prior to each lecture.

Contribution to group work
Active participation in the discussions.

Tests
Digital exam
Test weight100
Minimum grade5.5

Assessment
The ability to analyse and assess explanatory research into risk factors. During the course there is a single test for which a minimum score of 5.5 must be attained.

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