Programplaner og emneplaner - Student
PSYK2600 Research Methods 3 - Research Designs and Statistics Course description
- Course name in Norwegian
- Forskningsmetode 3 - Forskningsdesign og statistikk
- Weight
- 10.0 ECTS
- Year of study
- 2022/2023
- Course history
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- Curriculum
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SPRING 2023
- Schedule
- Programme description
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Introduction
Research methods and statistics play a key role in behaviour and social research, and a basic understanding of methodological and statistical concepts is necessary to be able to read research articles and assess the quality of data and findings.
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Required preliminary courses
Passed the course PSYK2100
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Learning outcomes
After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:
Knowledge;
The student can
- describe general research methodology
- describe basic research designs and the different types of validity
- explain the application of descriptive statistics
- describe the general principles of statistical hypothesis testing
- explain Type l and Type II errors
- explain different types of basic statistical analyses and their application
Skills;
The student can
- assess research results from published studies and the validity of the findings
- design a good study and complete simple statistical analyses of his/her own data
Competence;
The student can
- communicate the basic principles of research methodology, hypothesis testing and statistics
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Teaching and learning methods
Work and teaching methods used in the course are lectures, self-study and group work. A seminar day will also be held where students are given practical exercises in using simple statistical analysis and interpreting results.
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Course requirements
To prepare for the examination must the following obtain approved:
- participation in compulsory teaching activities (100%)
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Assessment
Portfolio exam comprising four tests and a digital, supervised written exam lasting four hours. All four tests must be approved before the student can take the digital, supervised written exam. All the components must be awarded a pass grade before the exam as a whole can be passed.
If the student fails one test, the student can retake this test. Resit/rescheduled attempts at the four tests can be taken once before the ordinary, digital, supervised written exam. Before the resit/rescheduled digital, supervised written exam, students will be given a third and final attempt at one or more of the tests.
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Permitted exam materials and equipment
None
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Grading scale
Grade scale A-F.;A grade will be awarded based on the tests taken during the course (60%) and the result of the final written exam (40%). The student has a right to appeal the overall exam grade for the whole portfolio
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Examiners
One internal examiner.;A;programme supervisor will evaluate the form of assessment.